91 Record Management jobs in the United Kingdom
Principal Information Management Specialist - Data Management
Leatherhead, South East
KBR
Posted 11 days ago
Job Viewed
Job Description
Title:
Principal Information Management Specialist - Data Management
Job Posting Description
KBR is a global provider of differentiated, professional services and technologies delivered across a wide government, defense and industrial base. Drawing from its rich 100-year history and culture of innovation and mission focus, KBR creates sustainable value by combining engineering, technical and scientific expertise with its full life cycle capabilities to help our clients meet their most pressing challenges today and into the future.
We deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than 80 countries and operations in over 29 countries. KBR is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results. At KBR, We Deliver.
With a plethora of opportunities on the horizon, the Integrated Solutions Information Management team is looking to connect with the best and the brightest. Our team provides engineering, procurement, construction, and program management services for hydrocarbons and energy transition industries - both onshore and offshore. We offer holistic and value-added solutions across the entire asset life cycle.
A Career at KBR could see you:
+ working in a diverse and challenging environment as part of a team that strives to deliver high-quality and innovative engineering solutions to our customers.
+ develop your skills and gain experience in an inclusive environment which will open a range of career opportunities
+ join a Team of Teams of passionate professionals, working together in a collaborative and supportive environment that encourages creative problem-solving and teamwork to make a positive impact to the world.
+ Work for a company that understands the importance of work-life balance and empowers employees to have the time and the tools they need to deliver their goal.
What do KBR offer?
We offer challenging opportunities, competitive salaries, and a comprehensive benefits package that includes Private Medical Insurance, Employer Pension Contributions, Life Assurance, Personal Accident cover, Income Protection and much more. We also offer flexible working arrangements and the opportunity to make a real difference in the world.
Future Opportunities:
KBR Information Management team supports the engineering function and information systems used, to ensure that engineering data is correct, complete, consistent.
Data Managers administrate data repositories for the storage and maintenance of engineering and supplier data. It involves receiving and performing data transfers, validation, change management, reporting and analysis to ensure effective handover of a complete, accurate dataset.
What you will be doing:
As a Data Manager you will be responsible for development and implementation of Class Library and the setup, management, and operation of Engineering Data Warehouse and the operation of interfaces with engineering applications.
You define data management plans for engineering and supplier data delivery across project phases and interfaces. Development and maintenance of project tag numbering schema, class libraries, deliverable production, reporting and data progress measurement.
Other roles and responsibilities include:
+ Plan, direct, co-ordinate and be the focal point for all data management activities.
+ Liaise with engineering and supply chain to ensure the completion and compliance of data submission.
+ A strong understanding, experience and expertise in the management of Engineering Data Warehouse and Class Library (AVEVA Engineering or Hexagon Smartplant Foundation toolset).
+ Engineering Data Warehouse
+ Configure Grids for data entry.
+ Tag management.
+ Support development of Engineering key list data.
+ User support.
+ Class Library Management (e.g. AVEVA ISM)
+ Define and maintain corporate/project Class Library.
+ Define tag naming format.
+ Configuring controlled value lists, UOMS etc.
+ Manage data to other applications such as AVEVA Net/Engage.
+ Demonstrate strong understanding of IM and Data Management concepts i.e. Data Class Libraries, Interfaces with Engineering Applications etc
+ Manage multi-location, IM data management teams.
+ Liaise with Client and/or Construction and/or Completions team personnel to ensure commissioning/operational hand-over requirements are understood & being met.
+ Define and develop data reports on completeness and statistics.
+ Provide regular reports on completeness of data set.
+ Coordinate with engineering disciplines to resolve any data inconsistencies, errors, or mapping issues.
What you will need:
+ University degree qualification or equivalent oil and gas industry experience.
+ Experience in an Engineering, Designer or information management role.
+ An understanding of relational database applications to analyse, manipulate and transfer data.
+ Experience of using AVEVA Engineering/information standards manager (ISM), Life Cycle Server, SMARTPLANT Foundation.
+ Knowledge of AVEVA Net, AVEVA Engage and AIM an advantage.
+ SSRS, OBIEE, Power BI reporting or similar required. PML, procedural SQL etc an advantage.
+ Working knowledge of CFIHOS or other equivalent class libraries.
Life at KBR.
We attract the best minds as our expertise thrives on creativity, resourcefulness and collaboration. That is how we supply our clients with innovative solutions. We are a diverse team of experienced projects managers, technical specialists, commercial professionals and engineers. Competitive benefits and professional development, we empower people to use all their potential, creating meaningful change for themselves and clients.
When you become part of the KBR team, your opportunities are endless. Through collaboration with our customers, we're defining tomorrow's challenges, then providing the solutions and services to overcome those challenges, always maintaining our commitment to total safety and reliability.
At KBR, we partner with government and industry clients to provide purposeful and comprehensive solutions with an emphasis on efficiency and safety. With a full portfolio of services, proprietary technologies and expertise, our employees are ready to handle projects and missions throughout their entire lifecycle, from planning and design to sustainability and maintenance. Whether at the bottom of the ocean or in outer space, our clients trust us to deliver the impossible on a daily basis.
#LI-PS1
Principal Information Management Specialist - Data Management
Job Posting Description
KBR is a global provider of differentiated, professional services and technologies delivered across a wide government, defense and industrial base. Drawing from its rich 100-year history and culture of innovation and mission focus, KBR creates sustainable value by combining engineering, technical and scientific expertise with its full life cycle capabilities to help our clients meet their most pressing challenges today and into the future.
We deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than 80 countries and operations in over 29 countries. KBR is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results. At KBR, We Deliver.
With a plethora of opportunities on the horizon, the Integrated Solutions Information Management team is looking to connect with the best and the brightest. Our team provides engineering, procurement, construction, and program management services for hydrocarbons and energy transition industries - both onshore and offshore. We offer holistic and value-added solutions across the entire asset life cycle.
A Career at KBR could see you:
+ working in a diverse and challenging environment as part of a team that strives to deliver high-quality and innovative engineering solutions to our customers.
+ develop your skills and gain experience in an inclusive environment which will open a range of career opportunities
+ join a Team of Teams of passionate professionals, working together in a collaborative and supportive environment that encourages creative problem-solving and teamwork to make a positive impact to the world.
+ Work for a company that understands the importance of work-life balance and empowers employees to have the time and the tools they need to deliver their goal.
What do KBR offer?
We offer challenging opportunities, competitive salaries, and a comprehensive benefits package that includes Private Medical Insurance, Employer Pension Contributions, Life Assurance, Personal Accident cover, Income Protection and much more. We also offer flexible working arrangements and the opportunity to make a real difference in the world.
Future Opportunities:
KBR Information Management team supports the engineering function and information systems used, to ensure that engineering data is correct, complete, consistent.
Data Managers administrate data repositories for the storage and maintenance of engineering and supplier data. It involves receiving and performing data transfers, validation, change management, reporting and analysis to ensure effective handover of a complete, accurate dataset.
What you will be doing:
As a Data Manager you will be responsible for development and implementation of Class Library and the setup, management, and operation of Engineering Data Warehouse and the operation of interfaces with engineering applications.
You define data management plans for engineering and supplier data delivery across project phases and interfaces. Development and maintenance of project tag numbering schema, class libraries, deliverable production, reporting and data progress measurement.
Other roles and responsibilities include:
+ Plan, direct, co-ordinate and be the focal point for all data management activities.
+ Liaise with engineering and supply chain to ensure the completion and compliance of data submission.
+ A strong understanding, experience and expertise in the management of Engineering Data Warehouse and Class Library (AVEVA Engineering or Hexagon Smartplant Foundation toolset).
+ Engineering Data Warehouse
+ Configure Grids for data entry.
+ Tag management.
+ Support development of Engineering key list data.
+ User support.
+ Class Library Management (e.g. AVEVA ISM)
+ Define and maintain corporate/project Class Library.
+ Define tag naming format.
+ Configuring controlled value lists, UOMS etc.
+ Manage data to other applications such as AVEVA Net/Engage.
+ Demonstrate strong understanding of IM and Data Management concepts i.e. Data Class Libraries, Interfaces with Engineering Applications etc
+ Manage multi-location, IM data management teams.
+ Liaise with Client and/or Construction and/or Completions team personnel to ensure commissioning/operational hand-over requirements are understood & being met.
+ Define and develop data reports on completeness and statistics.
+ Provide regular reports on completeness of data set.
+ Coordinate with engineering disciplines to resolve any data inconsistencies, errors, or mapping issues.
What you will need:
+ University degree qualification or equivalent oil and gas industry experience.
+ Experience in an Engineering, Designer or information management role.
+ An understanding of relational database applications to analyse, manipulate and transfer data.
+ Experience of using AVEVA Engineering/information standards manager (ISM), Life Cycle Server, SMARTPLANT Foundation.
+ Knowledge of AVEVA Net, AVEVA Engage and AIM an advantage.
+ SSRS, OBIEE, Power BI reporting or similar required. PML, procedural SQL etc an advantage.
+ Working knowledge of CFIHOS or other equivalent class libraries.
Life at KBR.
We attract the best minds as our expertise thrives on creativity, resourcefulness and collaboration. That is how we supply our clients with innovative solutions. We are a diverse team of experienced projects managers, technical specialists, commercial professionals and engineers. Competitive benefits and professional development, we empower people to use all their potential, creating meaningful change for themselves and clients.
When you become part of the KBR team, your opportunities are endless. Through collaboration with our customers, we're defining tomorrow's challenges, then providing the solutions and services to overcome those challenges, always maintaining our commitment to total safety and reliability.
At KBR, we partner with government and industry clients to provide purposeful and comprehensive solutions with an emphasis on efficiency and safety. With a full portfolio of services, proprietary technologies and expertise, our employees are ready to handle projects and missions throughout their entire lifecycle, from planning and design to sustainability and maintenance. Whether at the bottom of the ocean or in outer space, our clients trust us to deliver the impossible on a daily basis.
#LI-PS1
This advertiser has chosen not to accept applicants from your region.
0
Senior Data Management Professional - Data Science - Data Management Lab
London, London
Bloomberg
Posted 6 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, weu2019ll trust you to:**
Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**Youu2019ll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, weu2019ll trust you to:**
Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**Youu2019ll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
1
Senior Data Management Professional - Data Science - Data Management Lab
London, London
Bloomberg
Posted 6 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, weu2019ll trust you to:**
Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**Youu2019ll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, weu2019ll trust you to:**
Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**Youu2019ll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
2
Senior Data Management Professional - Data Science - Data Management Lab
London, London
Bloomberg
Posted 11 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
3
Data Management Intern
Westerham, South East
Bombardier
Posted 11 days ago
Job Viewed
Job Description
Bombardier's Business Aircraft London Service Centre in Biggin Hill is part of an award-winning network and is the flagship of Bombardier's European operation. This Base and Line Maintenance Centre is the fastest-growing Service Centre in Europe and the largest Business Aircraft OEM in the UK. The facility has the capabilities to perform an array of maintenance checks, modifications and upgrades all from this site. Only 14 miles from London, Bombardier's Biggin Hill Service Centre is ideally located to support operators in the UK region and beyond.
**What are your contributions to the team?**
- Collect, clean, and validate maintenance scheduling data from various sources.
- Maintain and update aircraft maintenance schedules in internal systems.
- Track aircraft maintenance milestones and flag potential scheduling conflicts or delays.
- Support the integration of data from maintenance management systems into scheduling tools.
- Maintain accurate records of aircraft downtime, hangar occupancy, and technician availability.
- Participate in daily scheduling meetings and document action items related to data updates.
- Assist in creating dashboards and reports to monitor progress, resource utilization, and turnaround times.
- Contribute to the development and testing of automated tools or scripts to streamline data entry and reporting.
- Prepare compliance reports and audit documentation related to maintenance scheduling.
- Monitor and report on key performance indicators (KPIs) such as turnaround time, schedule adherence, and resource utilization.
- Collaborate with IT or data teams to troubleshoot data access or integrity issues.
- Archive and retrieve historical maintenance and scheduling data for analysis and forecasting.
- Ensure data privacy and security protocols are followed in line with company and regulatory standards.
- Help document data management processes and suggest improvements for efficiency and accuracy
**How to thrive in this role?**
- Able to work on site from Monday - Friday (40 hours per week)
- Strong proficiency in Excel; familiarity with Power BI is a plus.
- Excellent attention to detail and organizational skills.
- Strong analytical and problem-solving abilities.
- Good communication skills and ability to work in a team-oriented environment.
- Interest in aviation or aircraft maintenance is desirable but not essential.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.
Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.
Join us at ideas move people.
**Job** Data Management Intern
**Primary Location** Biggin Hill Service Center
**Organization** Bombardier Services (UK)
**Employee Status**
**Requisition** 8624 Data Management Intern
**What are your contributions to the team?**
- Collect, clean, and validate maintenance scheduling data from various sources.
- Maintain and update aircraft maintenance schedules in internal systems.
- Track aircraft maintenance milestones and flag potential scheduling conflicts or delays.
- Support the integration of data from maintenance management systems into scheduling tools.
- Maintain accurate records of aircraft downtime, hangar occupancy, and technician availability.
- Participate in daily scheduling meetings and document action items related to data updates.
- Assist in creating dashboards and reports to monitor progress, resource utilization, and turnaround times.
- Contribute to the development and testing of automated tools or scripts to streamline data entry and reporting.
- Prepare compliance reports and audit documentation related to maintenance scheduling.
- Monitor and report on key performance indicators (KPIs) such as turnaround time, schedule adherence, and resource utilization.
- Collaborate with IT or data teams to troubleshoot data access or integrity issues.
- Archive and retrieve historical maintenance and scheduling data for analysis and forecasting.
- Ensure data privacy and security protocols are followed in line with company and regulatory standards.
- Help document data management processes and suggest improvements for efficiency and accuracy
**How to thrive in this role?**
- Able to work on site from Monday - Friday (40 hours per week)
- Strong proficiency in Excel; familiarity with Power BI is a plus.
- Excellent attention to detail and organizational skills.
- Strong analytical and problem-solving abilities.
- Good communication skills and ability to work in a team-oriented environment.
- Interest in aviation or aircraft maintenance is desirable but not essential.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.
Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.
Join us at ideas move people.
**Job** Data Management Intern
**Primary Location** Biggin Hill Service Center
**Organization** Bombardier Services (UK)
**Employee Status**
**Requisition** 8624 Data Management Intern
This advertiser has chosen not to accept applicants from your region.
4
Temporary Data Management Graduate
Dundee, Scotland
£15 Hourly
Escape
Posted 12 days ago
Job Viewed
Job Description
Temporary 6 Month Contract
We're working with a global corporate manufacturing organisation who have an immediate requirement for a Data Management Graduate to support a large-scale project. This role is offered on a temporary basis estimated to last 6 months. You will be based onsite at the site in Dundee.
Key Responsibilities:
Support an extensive data cleansing exercise
Input technical and financial data and documentation into the database
Carry out data quality checks to ensure accuracy
Work with internal teams to collect required data
Provide updates to stakeholders on project milestones and progress
Contribute to the development of improved data management processes and procedures
What we're looking for:
Degree in a relevant subject such as Data Analytics, Business, Marketing, Economics, Supply Chain or similar
Strong attention to detail and accuracy when handling large volumes of data
Confident research, analysis, and information delivery skills
Excellent written and verbal communication, including virtual collaboration with global colleagues
Strong IT skills in MS Office (Word, Excel, PowerPoint, Outlook); experience with CRM, databases, or ERP systems would be an advantage, although training will be provided
This is an excellent opportunity for a graduate looking to gain hands-on experience in data management within a prestigious international organisation.
This advertiser has chosen not to accept applicants from your region.
5
Resource Data Management Analyst
London, London
MUFG
Posted 1 day ago
Job Viewed
Job Description
Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.Overview of Resource Management Team:The goal of the team is to provide a “one stop solution” for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.Resource Data ManagementManage cleaning resource data in workday. Run training via the new starter induction and creation of org charts on Kizuna. Creation of headcount reporting data monthly / quarterly / annually.Technology RecruitmentProcess all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff. Creation of recruitment and rate reporting.The primary purpose of the Resource Data Management Analyst is to:Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.Key Responsibilities:Lead daily team stand up via teams.Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queriesCreation of weekly reporting to HR to highlight changes. Method for this is excel macros.Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.Co-ordinating with the line managers, HR, procurement and access management regarding JML process.Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.Ensure resource cost data is accurate for reporting into Finance to calculate budgets. Creation of office attendance for contingent workers. Method for this is excel macros.Run the Technology new starter induction, which occurs twice a month.Creation of the Technology organisation chart. Method for this is via Visio.Maintain and enhance good working relationships with the teams stakeholders.Skills and Experience:Technical CapabilityStrong excel skills. Be able to build and run macros and power queries.Strong power BI skills. Be able to build and update reporting in power BI.Strong visio skills. Be able to create workflows and org charts.Strong numerical skills. To aid day-to-day activities.Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.We are open to considering flexible working requests in line with organisational requirements.MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
This advertiser has chosen not to accept applicants from your region.
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6
Resource Data Management Analyst
London, London
MUFG
Posted 6 days ago
Job Viewed
Job Description
**Do you want your voice heard and your actions to count?**
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the worldu2019s leading financial groups. Across the globe, weu2019re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the worldu2019s most trusted financial group, itu2019s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
**Overview of Resource Management Team:**
The goal of the team is to provide a u201cone stop solutionu201d for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.
**Resource Data Management** u200b
Manage cleaning resource data in workday. u200b
Run training via the new starter induction and creation of org charts on Kizuna. u200b
Creation of headcount reporting data monthly / quarterly / annually.u200b
**Technology Recruitment** u200b
Process all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff. u200b
Creation of recruitment and rate reporting.u200b
u200b
**The primary purpose of the Resource Data Management Analyst is to:**
Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.
Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.
**Key Responsibilities:**
Lead daily team stand up via teams.
Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queries
Creation of weekly reporting to HR to highlight changes. Method for this is excel macros.
Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.
Co-ordinating with the line managers, HR, procurement and access management regarding JML process.
Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.
Ensure resource cost data is accurate for reporting into Finance to calculate budgets.
Creation of office attendance for contingent workers. Method for this is excel macros.
Run the Technology new starter induction, which occurs twice a month.
Creation of the Technology organisation chart. Method for this is via Visio.
Maintain and enhance good working relationships with the teams stakeholders.
**Skills and Experience:**
Technical Capability
Strong excel skills. Be able to build and run macros and power queries.
Strong power BI skills. Be able to build and update reporting in power BI.
Strong visio skills. Be able to create workflows and org charts.
Strong numerical skills. To aid day-to-day activities.
Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.
We are open to considering flexible working requests in line with organisational requirements.
MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
At MUFG, our colleagues are our greatest assets. Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative. They reflect who we are, who we want to be and what we expect from one another. We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!
**Our Culture Principles**
Client Centric
People Focused
Listen Up. Speak Up.
Innovate & Simplify
Own & Execute
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the worldu2019s leading financial groups. Across the globe, weu2019re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the worldu2019s most trusted financial group, itu2019s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
**Overview of Resource Management Team:**
The goal of the team is to provide a u201cone stop solutionu201d for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.
**Resource Data Management** u200b
Manage cleaning resource data in workday. u200b
Run training via the new starter induction and creation of org charts on Kizuna. u200b
Creation of headcount reporting data monthly / quarterly / annually.u200b
**Technology Recruitment** u200b
Process all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff. u200b
Creation of recruitment and rate reporting.u200b
u200b
**The primary purpose of the Resource Data Management Analyst is to:**
Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.
Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.
**Key Responsibilities:**
Lead daily team stand up via teams.
Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queries
Creation of weekly reporting to HR to highlight changes. Method for this is excel macros.
Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.
Co-ordinating with the line managers, HR, procurement and access management regarding JML process.
Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.
Ensure resource cost data is accurate for reporting into Finance to calculate budgets.
Creation of office attendance for contingent workers. Method for this is excel macros.
Run the Technology new starter induction, which occurs twice a month.
Creation of the Technology organisation chart. Method for this is via Visio.
Maintain and enhance good working relationships with the teams stakeholders.
**Skills and Experience:**
Technical Capability
Strong excel skills. Be able to build and run macros and power queries.
Strong power BI skills. Be able to build and update reporting in power BI.
Strong visio skills. Be able to create workflows and org charts.
Strong numerical skills. To aid day-to-day activities.
Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.
We are open to considering flexible working requests in line with organisational requirements.
MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
At MUFG, our colleagues are our greatest assets. Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative. They reflect who we are, who we want to be and what we expect from one another. We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!
**Our Culture Principles**
Client Centric
People Focused
Listen Up. Speak Up.
Innovate & Simplify
Own & Execute
This advertiser has chosen not to accept applicants from your region.
7
Resource Data Management Analyst
London, London
MUFG
Posted 6 days ago
Job Viewed
Job Description
**Do you want your voice heard and your actions to count?**
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the worldu2019s leading financial groups. Across the globe, weu2019re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the worldu2019s most trusted financial group, itu2019s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
**Overview of Resource Management Team:**
The goal of the team is to provide a u201cone stop solutionu201d for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.
**Resource Data Management** u200b
Manage cleaning resource data in workday. u200b
Run training via the new starter induction and creation of org charts on Kizuna. u200b
Creation of headcount reporting data monthly / quarterly / annually.u200b
**Technology Recruitment** u200b
Process all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff. u200b
Creation of recruitment and rate reporting.u200b
u200b
**The primary purpose of the Resource Data Management Analyst is to:**
Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.
Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.
**Key Responsibilities:**
Lead daily team stand up via teams.
Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queries
Creation of weekly reporting to HR to highlight changes. Method for this is excel macros.
Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.
Co-ordinating with the line managers, HR, procurement and access management regarding JML process.
Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.
Ensure resource cost data is accurate for reporting into Finance to calculate budgets.
Creation of office attendance for contingent workers. Method for this is excel macros.
Run the Technology new starter induction, which occurs twice a month.
Creation of the Technology organisation chart. Method for this is via Visio.
Maintain and enhance good working relationships with the teams stakeholders.
**Skills and Experience:**
Technical Capability
Strong excel skills. Be able to build and run macros and power queries.
Strong power BI skills. Be able to build and update reporting in power BI.
Strong visio skills. Be able to create workflows and org charts.
Strong numerical skills. To aid day-to-day activities.
Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.
We are open to considering flexible working requests in line with organisational requirements.
MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
At MUFG, our colleagues are our greatest assets. Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative. They reflect who we are, who we want to be and what we expect from one another. We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!
**Our Culture Principles**
Client Centric
People Focused
Listen Up. Speak Up.
Innovate & Simplify
Own & Execute
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the worldu2019s leading financial groups. Across the globe, weu2019re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the worldu2019s most trusted financial group, itu2019s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
**Overview of Resource Management Team:**
The goal of the team is to provide a u201cone stop solutionu201d for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.
**Resource Data Management** u200b
Manage cleaning resource data in workday. u200b
Run training via the new starter induction and creation of org charts on Kizuna. u200b
Creation of headcount reporting data monthly / quarterly / annually.u200b
**Technology Recruitment** u200b
Process all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff. u200b
Creation of recruitment and rate reporting.u200b
u200b
**The primary purpose of the Resource Data Management Analyst is to:**
Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.
Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.
**Key Responsibilities:**
Lead daily team stand up via teams.
Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queries
Creation of weekly reporting to HR to highlight changes. Method for this is excel macros.
Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.
Co-ordinating with the line managers, HR, procurement and access management regarding JML process.
Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.
Ensure resource cost data is accurate for reporting into Finance to calculate budgets.
Creation of office attendance for contingent workers. Method for this is excel macros.
Run the Technology new starter induction, which occurs twice a month.
Creation of the Technology organisation chart. Method for this is via Visio.
Maintain and enhance good working relationships with the teams stakeholders.
**Skills and Experience:**
Technical Capability
Strong excel skills. Be able to build and run macros and power queries.
Strong power BI skills. Be able to build and update reporting in power BI.
Strong visio skills. Be able to create workflows and org charts.
Strong numerical skills. To aid day-to-day activities.
Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.
We are open to considering flexible working requests in line with organisational requirements.
MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
At MUFG, our colleagues are our greatest assets. Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative. They reflect who we are, who we want to be and what we expect from one another. We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!
**Our Culture Principles**
Client Centric
People Focused
Listen Up. Speak Up.
Innovate & Simplify
Own & Execute
This advertiser has chosen not to accept applicants from your region.
8
Data Management Project leader
ICON Clinical Research
Posted 6 days ago
Job Viewed
Job Description
Data Management, Project Leader
ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.
We are currently seeking a Program Manager, Clinical Data Science to join our diverse and dynamic team. As a Program Manager in Clinical Data Science at ICON, you will play a crucial role in overseeing and coordinating data science initiatives within clinical programs. You will lead cross-functional teams to ensure the successful execution of data-driven projects, from data collection and analysis to the implementation of insights that drive clinical outcomes and operational efficiencies.
**What You Will Be Doing:**
+ Managing the end-to-end execution of clinical data science programs, including planning, resource allocation, and delivery of data science projects .
+ Coordinating with data scientists, statisticians, clinical researchers, and other stakeholders to ensure alignment on project objectives, data requirements, and analytical approaches.
+ Oversight of number of clients or program work in a client partnership
+ Supports clinical data science strategic plans at client level.
+ Reviews project proposals and attends bid defenses as a representative of the function when required.
+ Performs financial review of projects under their span.
+ Guides project team with respect to out-of- scope tasks.
+ Oversight management and forecasting within financial tool utilized
+ Review financial documentation and assess preparedness related to all clinical data science activities from planning through data delivery/close out.
+ Approves Worked Units, Forecasted Units and project invoices monthly
+ Ability to understand protocol content in the context of clinical data management/clinical data science delivery.
+ Provides consultation for clinical data science best practices (processes, systems, regulations etc).
+ Oversees project status and escalates potential problems effectively and in a timely manner to ensure functional management and those responsible for project management informed of critical issues that might affect project target dates, scope or budget.
+ Works independently and, as needed, able to manage escalations with clients and/or external customers and departments.
+ Point of escalation internally/externally.
**Your Profile:**
+ Bachelor's degree in data science, statistics, clinical research, or a related field. Advanced degree and/or relevant certifications are preferred. Extensive experience in program management within the clinical data science or related domain.
+ Strong background in data science methodologies, statistical analysis, and clinical research, with a track record of successfully managing complex data-driven projects.
+ Strong leadership and project management skills
+ Typical years of experience 10+. An equivalent combination of education, training and relevant experience may be considered in place of the education and experience stated.
+ Established Mentor and or SME.
+ Accountable for all CDS project delivery milestones and internal reporting and progress reports for assigned projects
+ Holds primary accountability for delivery oversight for CDS standalone projects
+ Proficiency in project management tools and techniques, with experience in risk management, budgeting, and resource planning.
+ Excellent communication and interpersonal skills, with the ability to convey complex data insights clearly and build effective relationships with stakeholders at all levels.
#LI-JC3
#LI-Remote
**What ICON can offer you:**
Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent.
In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.
Our benefits examples include:
+ Various annual leave entitlements
+ A range of health insurance offerings to suit you and your family's needs.
+ Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
+ Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being.
+ Life assurance
+ Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others.
Visit our careers site ( to read more about the benefits ICON offers.
At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here ( in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles.
Are you a current ICON Employee? Please click here ( to apply
ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.
We are currently seeking a Program Manager, Clinical Data Science to join our diverse and dynamic team. As a Program Manager in Clinical Data Science at ICON, you will play a crucial role in overseeing and coordinating data science initiatives within clinical programs. You will lead cross-functional teams to ensure the successful execution of data-driven projects, from data collection and analysis to the implementation of insights that drive clinical outcomes and operational efficiencies.
**What You Will Be Doing:**
+ Managing the end-to-end execution of clinical data science programs, including planning, resource allocation, and delivery of data science projects .
+ Coordinating with data scientists, statisticians, clinical researchers, and other stakeholders to ensure alignment on project objectives, data requirements, and analytical approaches.
+ Oversight of number of clients or program work in a client partnership
+ Supports clinical data science strategic plans at client level.
+ Reviews project proposals and attends bid defenses as a representative of the function when required.
+ Performs financial review of projects under their span.
+ Guides project team with respect to out-of- scope tasks.
+ Oversight management and forecasting within financial tool utilized
+ Review financial documentation and assess preparedness related to all clinical data science activities from planning through data delivery/close out.
+ Approves Worked Units, Forecasted Units and project invoices monthly
+ Ability to understand protocol content in the context of clinical data management/clinical data science delivery.
+ Provides consultation for clinical data science best practices (processes, systems, regulations etc).
+ Oversees project status and escalates potential problems effectively and in a timely manner to ensure functional management and those responsible for project management informed of critical issues that might affect project target dates, scope or budget.
+ Works independently and, as needed, able to manage escalations with clients and/or external customers and departments.
+ Point of escalation internally/externally.
**Your Profile:**
+ Bachelor's degree in data science, statistics, clinical research, or a related field. Advanced degree and/or relevant certifications are preferred. Extensive experience in program management within the clinical data science or related domain.
+ Strong background in data science methodologies, statistical analysis, and clinical research, with a track record of successfully managing complex data-driven projects.
+ Strong leadership and project management skills
+ Typical years of experience 10+. An equivalent combination of education, training and relevant experience may be considered in place of the education and experience stated.
+ Established Mentor and or SME.
+ Accountable for all CDS project delivery milestones and internal reporting and progress reports for assigned projects
+ Holds primary accountability for delivery oversight for CDS standalone projects
+ Proficiency in project management tools and techniques, with experience in risk management, budgeting, and resource planning.
+ Excellent communication and interpersonal skills, with the ability to convey complex data insights clearly and build effective relationships with stakeholders at all levels.
#LI-JC3
#LI-Remote
**What ICON can offer you:**
Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent.
In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.
Our benefits examples include:
+ Various annual leave entitlements
+ A range of health insurance offerings to suit you and your family's needs.
+ Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
+ Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being.
+ Life assurance
+ Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others.
Visit our careers site ( to read more about the benefits ICON offers.
At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here ( in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles.
Are you a current ICON Employee? Please click here ( to apply
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