126 Metadata Management jobs in the United Kingdom
Data Quality Analyst
Posted 2 days ago
Job Viewed
Job Description
Job Title: Data Quality Analyst
Location: London (2 days per week on-site at Liverpool Street)
Contract: 6 months (via umbrella)
Rate: Competitive
Are you passionate about driving data accuracy and integrity in a fast-paced financial services environment? This is a fantastic opportunity to join a leading international bank at the forefront of data-led transformation. You'll be part of a growing Data Office that is shaping strategy, governance, and innovation across EMEA - making a real impact from day one.
The Role
As a Data Quality Analyst, you will play a pivotal role in ensuring the accuracy, completeness, and integrity of data across AML and Sanctions screening platforms. You will work closely with Financial Crime, Data Governance, Technology, and Risk teams to design and embed effective data quality controls, strengthen governance, and support regulatory compliance. This role offers the chance to directly contribute to critical transformation programmes within financial crime compliance.
Key Responsibilities
Design, build, and monitor Data Quality Rules within Collibra Data Quality (CDQ) for AML and Sanctions datasets.
Define and implement controls for key data elements (e.g. customer details, SWIFT/BIC, account data).
Validate data ingestion for AML/sanctions screening platforms, ensuring compliance and accuracy.
Conduct root cause analysis of data issues and support remediation strategies.
Maintain DQ-related metadata, issues, and reporting within Collibra and ServiceNOW.
Provide evidence of effective controls during regulatory reviews and audits.
Deliver dashboards and KPIs to track performance, ownership, and remediation progress.
Contribute to policy and framework development in Data Governance and Quality.
What We're Looking For
Proven experience in Data Quality, Data Governance, or Data Management within banking or financial crime compliance.
Hands-on expertise in Collibra Data Quality (CDQ), including rule building and monitoring.
Strong knowledge of AML, Sanctions, and KYC processes and relevant regulatory frameworks.
Technical proficiency in SQL for data validation and remediation.
Experience with AML/Sanctions platforms such as Actimize SAM or Fircosoft.
Understanding of data lineage, metadata, and critical data element frameworks.
Strong stakeholder engagement skills with the ability to partner across Compliance, Technology, Risk, and Audit.
Desirable: Experience in AML remediation programmes, Collibra certifications, ICA/ACAMS qualifications, and knowledge of reporting tools such as Tableau or Power BI.
Why Join?
This is a unique opportunity to be part of a fast-growing Data Office that has already scaled to 50+ professionals within three years - with further growth ahead. You'll gain exposure to cutting-edge data governance and transformation projects, work with diverse stakeholders, and be supported in developing your expertise.
Alongside a competitive package, you'll benefit from:
Hybrid and flexible working arrangements.
Comprehensive benefits to support physical and mental wellbeing.
Competitive leave allowances.
Access to world-class learning, development, and career progression opportunities.
A collaborative, inclusive, and dynamic working environment.
If you're motivated by challenge, enjoy solving complex data problems, and want to play a key role in shaping the future of data governance in financial services, we'd love to hear from you.
Note: This is a temporary position with the potential for extension based on performance and business needs.
Your Data Adventure Awaits!
Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Data Quality Specialist
Posted 13 days ago
Job Viewed
Job Description
Data Quality Specialist
Our client is seeking a Data Quality Specialist to join their team. This hands-on role will focus on ensuring product, marketing, and technical data is accurate, consistent, and up to date, playing a key part in supporting internal systems, customer platforms, and online presence. The successful candidate will work closely with teams across Technical, Commercial, Marketing, IT, and Development, acting as a bridge between departments to ensure data flows seamlessly from initial concept through to live product. This is an excellent opportunity for someone with strong attention to detail, advanced Excel skills, and experience working with structured data in environments such as manufacturing, distribution, or e-commerce.
As a Data Quality Specialist, you will need to have/be:
- Proven experience in recording, maintaining, and analysing complex datasets with a high level of accuracy.
- Strong knowledge of PIM (Product Information Management) systems and data management best practices.
- Advanced Microsoft Excel skills, including complex formulas, data manipulation, and reporting.
- Exceptional attention to detail with the ability to spot and resolve inconsistencies.
- Strong organisational skills with the ability to manage deadlines and balance multiple priorities.
- Effective communicator, able to present information clearly and confidently both verbally and in writing.
- Comfortable working with large datasets and translating data into meaningful insights.
- Self-motivated, enthusiastic, and committed to continuous learning and professional development.
- Collaborative team player with the ability to work independently and follow instructions reliably.
- Experience working in a product-led business
- Understanding of ERP and product data structure
- Previous experience working in manufacturing or distribution
- Knowledge of product attribute standards and industry codes
Details:
- Salary : 35, 000 - 45, 000
- Working Hours : Full time Monday - Friday
- Location : Tamworth (on site full time)
- Duration : Permanent
Role of Data Quality Specialist:
- Own and manage product data entry within an advanced Product Information Management (PIM) system.
- Act as a PIM super-user, driving adoption and serving as a key point of knowledge and support across the business.
- Apply strong analytical skills to cleanse, validate, and maintain datasets, ensuring accuracy, consistency, and reliability.
- Support the development and implementation of a Data Governance framework, setting standards for data quality and integrity.
- Collaborate with internal teams and external partners to identify opportunities for process improvement and enhanced user experience.
- Build and maintain a deep understanding of product ranges, supported by ongoing training and development.
- Create and manage output data channels to enable efficient communication and seamless data transfer across systems and stakeholders.
Benefits of working as a Data Quality Specialist:
- 23 days annual leave + bank holidays
- Option to purchase up to 5 extra days annual leave
- Health Cashback Plan
- Pension Scheme
- Life Assurance
- Free Parking
Data Quality Analyst
Posted 18 days ago
Job Viewed
Job Description
Data Quality Analyst
Contract - 12 Month FTC
Theale/Home
Join a leading UK mobile infrastructure company driving innovation and transformation. Since 2012, we've evolved rapidly-now we're looking for a Data Quality Analyst to help us deliver excellence through smarter data.
The Data Quality Analyst will lead the development of data quality reports, automate data processes, and support business teams in improving data accuracy. Acting as a key member of the BI team, you'll help shape our data strategy and governance.
Key Responsibilities of the Data Quality Analyst include:
- Deliver daily reports and enhance data governance controls
- Enforce data policies across ingestion, quality, and lifecycle management
- Maintain dashboards and remediation plans for data quality
- Collaborate with stakeholders to meet strategic data goals
- Apply governance frameworks and ensure accountability
The successful Data Quality Analyst will have:
- Proficient in BI tools (e.g., Power BI)
- Familiar with Agile and Waterfall methodologies
- Experience with metadata management, data catalogues, and stewardship tools
- Understanding of Master Data Management principles
Desirable
- Proven success in data governance programs
- Operational and change management experience
Ready to help shape the future of mobile infrastructure through data excellence? Apply today to (url removed)
Project People is acting as an Employment Business in relation to this vacancy.
Data Quality Specialist
Posted today
Job Viewed
Job Description
Data Quality Specialist
Our client is seeking a Data Quality Specialist to join their team. This hands-on role will focus on ensuring product, marketing, and technical data is accurate, consistent, and up to date, playing a key part in supporting internal systems, customer platforms, and online presence. The successful candidate will work closely with teams across Technical, Commercial, Marketing, IT, and Development, acting as a bridge between departments to ensure data flows seamlessly from initial concept through to live product. This is an excellent opportunity for someone with strong attention to detail, advanced Excel skills, and experience working with structured data in environments such as manufacturing, distribution, or e-commerce.
As a Data Quality Specialist, you will need to have/be:
- Proven experience in recording, maintaining, and analysing complex datasets with a high level of accuracy.
- Strong knowledge of PIM (Product Information Management) systems and data management best practices.
- Advanced Microsoft Excel skills, including complex formulas, data manipulation, and reporting.
- Exceptional attention to detail with the ability to spot and resolve inconsistencies.
- Strong organisational skills with the ability to manage deadlines and balance multiple priorities.
- Effective communicator, able to present information clearly and confidently both verbally and in writing.
- Comfortable working with large datasets and translating data into meaningful insights.
- Self-motivated, enthusiastic, and committed to continuous learning and professional development.
- Collaborative team player with the ability to work independently and follow instructions reliably.
- Experience working in a product-led business
- Understanding of ERP and product data structure
- Previous experience working in manufacturing or distribution
- Knowledge of product attribute standards and industry codes
Details:
- Salary : 35, 000 - 45, 000
- Working Hours : Full time Monday - Friday
- Location : Tamworth (on site full time)
- Duration : Permanent
Role of Data Quality Specialist:
- Own and manage product data entry within an advanced Product Information Management (PIM) system.
- Act as a PIM super-user, driving adoption and serving as a key point of knowledge and support across the business.
- Apply strong analytical skills to cleanse, validate, and maintain datasets, ensuring accuracy, consistency, and reliability.
- Support the development and implementation of a Data Governance framework, setting standards for data quality and integrity.
- Collaborate with internal teams and external partners to identify opportunities for process improvement and enhanced user experience.
- Build and maintain a deep understanding of product ranges, supported by ongoing training and development.
- Create and manage output data channels to enable efficient communication and seamless data transfer across systems and stakeholders.
Benefits of working as a Data Quality Specialist:
- 23 days annual leave + bank holidays
- Option to purchase up to 5 extra days annual leave
- Health Cashback Plan
- Pension Scheme
- Life Assurance
- Free Parking
Data Quality Analyst
Posted today
Job Viewed
Job Description
Job Title: Data Quality Analyst
Location: London (2 days per week on-site at Liverpool Street)
Contract: 6 months (via umbrella)
Rate: Competitive
Are you passionate about driving data accuracy and integrity in a fast-paced financial services environment? This is a fantastic opportunity to join a leading international bank at the forefront of data-led transformation. You'll be part of a growing Data Office that is shaping strategy, governance, and innovation across EMEA - making a real impact from day one.
The Role
As a Data Quality Analyst, you will play a pivotal role in ensuring the accuracy, completeness, and integrity of data across AML and Sanctions screening platforms. You will work closely with Financial Crime, Data Governance, Technology, and Risk teams to design and embed effective data quality controls, strengthen governance, and support regulatory compliance. This role offers the chance to directly contribute to critical transformation programmes within financial crime compliance.
Key Responsibilities
Design, build, and monitor Data Quality Rules within Collibra Data Quality (CDQ) for AML and Sanctions datasets.
Define and implement controls for key data elements (e.g. customer details, SWIFT/BIC, account data).
Validate data ingestion for AML/sanctions screening platforms, ensuring compliance and accuracy.
Conduct root cause analysis of data issues and support remediation strategies.
Maintain DQ-related metadata, issues, and reporting within Collibra and ServiceNOW.
Provide evidence of effective controls during regulatory reviews and audits.
Deliver dashboards and KPIs to track performance, ownership, and remediation progress.
Contribute to policy and framework development in Data Governance and Quality.
What We're Looking For
Proven experience in Data Quality, Data Governance, or Data Management within banking or financial crime compliance.
Hands-on expertise in Collibra Data Quality (CDQ), including rule building and monitoring.
Strong knowledge of AML, Sanctions, and KYC processes and relevant regulatory frameworks.
Technical proficiency in SQL for data validation and remediation.
Experience with AML/Sanctions platforms such as Actimize SAM or Fircosoft.
Understanding of data lineage, metadata, and critical data element frameworks.
Strong stakeholder engagement skills with the ability to partner across Compliance, Technology, Risk, and Audit.
Desirable: Experience in AML remediation programmes, Collibra certifications, ICA/ACAMS qualifications, and knowledge of reporting tools such as Tableau or Power BI.
Why Join?
This is a unique opportunity to be part of a fast-growing Data Office that has already scaled to 50+ professionals within three years - with further growth ahead. You'll gain exposure to cutting-edge data governance and transformation projects, work with diverse stakeholders, and be supported in developing your expertise.
Alongside a competitive package, you'll benefit from:
Hybrid and flexible working arrangements.
Comprehensive benefits to support physical and mental wellbeing.
Competitive leave allowances.
Access to world-class learning, development, and career progression opportunities.
A collaborative, inclusive, and dynamic working environment.
If you're motivated by challenge, enjoy solving complex data problems, and want to play a key role in shaping the future of data governance in financial services, we'd love to hear from you.
Note: This is a temporary position with the potential for extension based on performance and business needs.
Your Data Adventure Awaits!
Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Data Quality Analyst
Posted today
Job Viewed
Job Description
Data Quality Analyst
Contract - 12 Month FTC
Theale/Home
Join a leading UK mobile infrastructure company driving innovation and transformation. Since 2012, we've evolved rapidly-now we're looking for a Data Quality Analyst to help us deliver excellence through smarter data.
The Data Quality Analyst will lead the development of data quality reports, automate data processes, and support business teams in improving data accuracy. Acting as a key member of the BI team, you'll help shape our data strategy and governance.
Key Responsibilities of the Data Quality Analyst include:
- Deliver daily reports and enhance data governance controls
- Enforce data policies across ingestion, quality, and lifecycle management
- Maintain dashboards and remediation plans for data quality
- Collaborate with stakeholders to meet strategic data goals
- Apply governance frameworks and ensure accountability
The successful Data Quality Analyst will have:
- Proficient in BI tools (e.g., Power BI)
- Familiar with Agile and Waterfall methodologies
- Experience with metadata management, data catalogues, and stewardship tools
- Understanding of Master Data Management principles
Desirable
- Proven success in data governance programs
- Operational and change management experience
Ready to help shape the future of mobile infrastructure through data excellence? Apply today to (url removed)
Project People is acting as an Employment Business in relation to this vacancy.
Senior Data Management Professional - Data Quality - Data AI
Posted 11 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloombergu2019s AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Datau2019s role in providing robust domain expertise and influential data artifacts to Bloombergu2019s products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**Weu2019ll trust you to:**
Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **u2019ll need to have:**
*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 bacheloru2019s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
Experience using data visualization tools such as Tableau or Qlik Sense.
Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
Extensive experience in communicating results in a clear, concise manner using data visualization tools.
Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**Weu2019d Love to See:**
Keen interest and familiarity with generative AI frameworks.
Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
Keen interest and familiarity with generative AI frameworks.
Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
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
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Senior Data Management Professional - Data Quality - Data AI
Posted 11 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloombergu2019s AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Datau2019s role in providing robust domain expertise and influential data artifacts to Bloombergu2019s products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**Weu2019ll trust you to:**
Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **u2019ll need to have:**
*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 bacheloru2019s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
Experience using data visualization tools such as Tableau or Qlik Sense.
Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
Extensive experience in communicating results in a clear, concise manner using data visualization tools.
Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**Weu2019d Love to See:**
Keen interest and familiarity with generative AI frameworks.
Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
Keen interest and familiarity with generative AI frameworks.
Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
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
Senior Data Management Professional - Data Quality - Data AI
Posted 17 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**We'll trust you to:**
+ Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
+ Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
+ Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
+ Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
+ Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
+ Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
+ Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
+ Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
+ Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **'ll need to have:**
*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 bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
+ A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
+ Experience using data visualization tools such as Tableau or Qlik Sense.
+ Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**We'd Love to See:**
+ Keen interest and familiarity with generative AI frameworks.
+ Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
+ Keen interest and familiarity with generative AI frameworks.
+ Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
+ Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
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
Data Quality Manager - Nottingham
Posted today
Job Viewed
Job Description
Location - Head Office, Ruddington, Nottinghamshire
Level - Experienced Professional
Department - Product R&D
Working Pattern - Full-time, hybrid (Tuesday, Wednesday and Thursday in office)
Benefits - Benefits at Ideagen
Salary - this will be discussed at the next stage of the process, if you do have any questions please feel free to reach out
We are seeking a Data Quality Manager to lead the development and implementation of data quality frameworks across our core business systems—Salesforce, Zuora, and Netsuite. This role plays a key part in ensuring the accuracy, consistency, and reliability of data that supports our risk and compliance software solutions.
The successful candidate will work closely with cross-functional teams to define data standards, monitor data quality, and drive continuous improvement through governance and collaboration.
Responsibilities:- Develop and implement a data quality strategy across Salesforce (CRM), Zuora (subscription management), and Netsuite (ERP).
- Define and maintain data quality standards, rules, and processes to ensure consistency and compliance.
- Monitor data quality metrics and create dashboards to track accuracy, completeness, and timeliness.
- Conduct regular audits to identify and resolve data discrepancies.
- Collaborate with stakeholders across sales, finance, product, and IT to establish data ownership and accountability.
- Lead data governance initiatives, including stewardship programs and stakeholder training.
- Manage ongoing data cleansing, enrichment, and validation processes.
- Evaluate and implement tools to support data quality monitoring and management.
- Ensure compliance with internal controls, regulatory requirements, and data protection standards.
- Experience in data quality, data management, or data governance roles.
- Strong understanding of Salesforce, Zuora, and Netsuite data structures and integrations.
- Ability to define and monitor data quality metrics and KPIs.
- Strong analytical and problem-solving skills with attention to detail.
- Effective communication skills and experience working with stakeholders across multiple functions.
- Familiarity with data management and reporting tools (e.g., Informatica, Talend, Tableau, Power BI).
- Knowledge of data privacy regulations (e.g., GDPR, CCPA) and financial compliance standards.
About Ideagen
Ideagen is the invisible force behind many things we rely on every day - from keeping airplanes soaring in the sky, to ensuring the food on our tables is safe, to helping doctors and nurses care for the sick. So, when you think of Ideagen, think of it as the silent teammate that's always working behind the scenes to help those people who make our lives safer and better. Everyday millions of people are kept safe using Ideagen software. We have offices all over the world including America, Australia, Malaysia and India with people doing lots of different and exciting jobs.
We’re building a future-ready team, and AI is part of how we work smarter. If you're curious, adaptable and open to using AI to improve how you work, you’ll thrive at Ideagen!
What is next?
If your application meets the requirements for this role, our Talent Acquisition team will be in touch to guide you through the next steps.
To ensure a flexible and inclusive process, please let us know if you require any reasonable adjustments by contacting us at . All matters will be treated with strict confidence.
At Ideagen, we value the importance of work-life balance and welcome candidates seeking flexible arrangements. If this is something you are interested in, please let us know during the application process. Enhance your career and make the world a safer place!
#LI-NOTTINGHAM
#INDHP