87 Data Management jobs in the United Kingdom

Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #
10043689
**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

Data Management Lead - Manchester About the job

Job summary

Discover a career in your hands at HMRC. Whether you're seeking purpose, growth, or a workplace that gives you a true sense of belonging, hear from some of our employees as they share their story about what it's really like to work at HMRC.

Visit our YouTube channel to watch the full series and come and discover your potential.

Job description

Join HMRC as a Data Management Lead and play a pivotal role in shaping how we manage and utilise critical information across our organisation. In this dynamic position, you will lead strategic data initiatives that directly support our mission to collect taxes and provide excellent customer service to the nation.

At HMRC, your sense of belonging matters. We are a service-led organisation with inspiring purpose and ethical standards, where respect for people is fundamental to everything we do. We embrace diversity as normal here, offering great working conditions with flexibility and work-life balance at the core of our approach. Our commitment to diversity, equity and inclusion ensures that everyone can thrive, with support for families, attention to allergies, and comprehensive neurodiversity support.

You will experience surprise in your opportunities through challenging work that embraces new technology. Our cutting-edge digital programmes are vast and exciting, featuring future-focused initiatives including single sign-on technology and borders and trade innovations. The scale of our tech and operations provides a clear path for advancement within dynamic sections of the business.

Take pride in social good through work that makes a real difference to the nation. This role offers a career in your hands with extensive training and development opportunities, variety in roles, and the chance to gain qualifications whilst progressing through grades.

We encourage applications from all backgrounds and are committed to creating an inclusive workplace where everyone can succeed.

Person specification

The Data Management Lead position at HMRC represents a strategic role responsible for overseeing the governance, quality, and strategic utilisation of data assets across the organisation. This role sits at the intersection of technology and business strategy, ensuring that data management practices align with HMRC's operational objectives and regulatory requirements. The successful candidate will lead cross-functional teams to implement robust data frameworks that support decision-making processes and enhance service delivery to the public.

Working within a collaborative environment, you will be responsible for developing and maintaining data standards, policies, and procedures that ensure compliance with data protection regulations whilst maximising the value derived from organisational data assets. The role requires strong leadership capabilities to influence stakeholders across various departments and drive cultural change towards data-driven decision making.

You will work closely with technical teams, business analysts, and senior leadership to identify opportunities for data innovation and improvement. The position offers significant scope for professional development within HMRC's supportive learning environment, with access to cutting-edge technologies and methodologies in the rapidly evolving field of data management.

Responsibilities

• Lead the development and implementation of data governance frameworks
• Oversee data quality assurance processes and standards
• Collaborate with stakeholders to define data requirements and strategies
• Manage data-related projects and initiatives across departments

Essential Criteria

• Knowledge of data management frameworks
• Understanding of data governance principles and practices
• Strong communication and stakeholder management skills with the ability to speak with confidence, challenge where needed, and negotiate effectively
• Ability to communicate complex data problems or insights into a format that can be understood by different audiences
• Demonstrable experience of strategic thinking and leadership in data management contexts.

Desirable Criteria

Data Management Qualification or similar

Additional Information - Transitional Sites

For more information on where you might be working, review this information on our locations.

If your location preference is for one of the following sites, it's important to note that these are not long-term sites for HMRC and we will require you to move to a new building in the future, subject to our location strategy and the applicable employee policies at that time.

These sites are:

• Waterview Park, Washington - moving to Pilgrims Quarter, Newcastle
• Benton Park View, Newcastle - moving to Pilgrims Quarter, Newcastle
• Centenary Court, Bradford - moving to 7 and 8 Wellington Place, Leeds
• Lynx House, Portsmouth - moving to No.1 The Goodsyard, Portsmouth
• Telford Plaza, Telford - moving to Parkside Court, Telford
• Trinity Bridge House, Manchester - moving to an alternative office in Manchester/ Salford

You will be given more information about what this means at the job offer stage

Benefits

Alongside your salary of £56,344, HM Revenue and Customs contributes £16,322 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides.

HMRC operates both Flexible and Hybrid Working policies, allowing you to balance your work and personal commitments. We welcome applications from those who need to work a more flexible arrangement and will agree to requests where possible, considering our operational and customer service needs.

We offer a generous leave allowance, starting at 25 days and increasing by a day for every year of qualifying service up to a maximum of 30 days.

• Pension - We make contributions to our colleagues' Alpha pension equal to at least 28.97% of their salary.
• Family friendly policies.
• Personal support.
• Coaching and development.

To find out more about HMRC benefits and find out what it's really like to work for HMRC hear from our insiders or visit Thinking of joining the Civil Service

Things you need to know

Selection process details

How to Apply

As part of the application process, you will be asked to provide the following:

• A name-blind CV including your job history and previous experiences.
• A 750 word personal statement which should demonstrate how you meet the points listed on the essential criteria.

Please complete a separate statement (Max 250 words) for the Desirable Criteria where applicable. This is not essential for the role but may be considered by the vacancy-holder where candidates have the same scores at sift or interview.

Further details around what this will entail are listed on the application form.

We acknowledge that AI can assist you in your application. Find our guidelines here.

Sift

In the event of a large number of applicants applying we intend to do an initial sift based on the Personal Statement

At full your CV and Personal Statement will be assessed. The sift will focus on your previous experience and your Personal Statement will be assessed on the Essential Criteria and requirements outlined in the Job Advert. If you successfully pass the sift stage, you will be invited to an interview.

Interview

During the panel interview you will be asked experience based questions to explore in detail what you are capable of and to also explore what you enjoy and your motivations relevant to the job role.

There will be a Presentation at the start of the interview. Details will be provided prior to interview.

Interviews will be via Teams Video. Details to be confirmed.

Eligibility

Please take extra care to tick the correct boxes in the eligibility sections of your application form. We understand mistakes sometimes happen but if you contact us later than two working days(Monday-Friday) before the vacancy closes, we will not be able to reopen your application for you. If you do make a mistake, please contact us via: - Use the subject line to insert appropriate wording for example - 'Please re-open my application - (415436) & vacancy closing date (22/07/2025)'

To check that you are eligible to apply for this role, please review the eligibility information before submitting your application.

Reserve List

A reserve list may be held for up to 12 months from which further appointments may be made for the same or similar roles - if this applies to you, we'll let you know via your Civil Service Jobs account.

Criminal Record Check

Applications received from candidates with a criminal record are considered fairly in accordance with the DBS Code of Practice and the Recruitment of ex-offenders Policy.

Merit List

After interview, a single merit list will be created, and you will only be considered for posts in locations you have expressed a preference for. Appointments will be made in strict merit order in line with the set number of roles in each location.

Reasonable Adjustments

We want to make sure no one is put at a disadvantage during our recruitment process. To assist you with this, we will reduce or remove any barriers where possible and provide additional support where appropriate.

If you need a change to be made so that you can make your application, you should:

• Contact the UBS Recruitment Excellence Team via as soon as possible before the closing date to discuss your needs.

Complete the "Assistance required" section in the "Additional requirements" page of your application form to tell us what changes or help you might need further on in the recruitment process. For instance, you may need wheelchair access at interview, or if you're deaf, a Language Service Professional.

Important information for existing HMRC contractual homeworkers

This role may be suitable for existing HMRC employees who are contractual homeworkers. Occasional attendance to the office will be required where there is a business need. Please consider the advertised office locations for this role when applying and only select locations from the 'location preferences' section that you can travel to.

Additional Information

We are looking into ways to enhance the applicant experience.

As part of our legitimate interests, we are testing the use of new technologies such as automation and/or Artificial Intelligence in the assessment for CV, personal statement and behaviour statement.

Please note that for this specific vacancy, this testing may run in parallel with our standard assessment process and will not influence or determine the outcome of your application in any way. You can read the Civil Service Jobs and HMRC Privacy Notices for more information about our lawful basis for processing your personal data and HMRC's use of AI.

If you don't want your data to be used as part of the trial, please send your Application ID and the Vacancy Reference to

Terms and Conditions

Current Civil Servants (all contract types) will need to ensure that they are still employed as a Civil Servant on or beyond the start date for the post. If their contract ends (for example due to the end of Fixed Term Appointment contract or resignation) at any point during the application process for the advertised role, they will no longer be eligible and may be withdrawn.

Customer facing roles in HMRC require the ability to converse at ease with members of the public and provide advice in accurate spoken English and/or Welsh where required. Where this is an essential requirement, this will be tested as part of the selection process.

HMRC has a presence in every region of the UK. For more information on where you might be working, review this information on our locations.

The Civil Service values honesty and integrity and expects all candidates to abide by these principles. The evidence you provide in your application must relate to your own experiences.

Any instances of plagiarism or other forms of cheating will be investigated and, if proven, the relevant application(s) will be withdrawn from the process.

Recording of interviews is prohibited unless explicit agreement is sought in line with the UK General Data Protection Regulations.

Questions relating to an individual application must be emailed as detailed later in this advert.

Applicants who are successful at interview will be, as part of pre-employment screening, subject to a check on the Internal Fraud Database (IFD). This check will provide information about employees who have been dismissed for fraud or dishonesty offences. This check also applies to employees who resign or otherwise leave before being dismissed for fraud or dishonesty had their employment continued. Any applicant's details held on the IFD will be refused employment.

A candidate is not eligible to apply for a role within the Civil Service if the application is made within a 5 year period following a dismissal for carrying out internal fraud against government.

If you experience accessibility problems with any attachments on this advert, please contact the email address in the 'Contact point for applicants' section.

Feedback will only be provided if you attend an interview or assessment.

Security

Successful candidates must undergo a criminal record check.

People working with government assets must complete baseline personnel security standard (opens in new window) checks.

Nationality requirements

This job is broadly open to the following groups:

• UK nationals
• nationals of the Republic of Ireland
• nationals of Commonwealth countries who have the right to work in the UK
• nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
• nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
• individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
• Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service

Further information on nationality requirements (opens in a new window)

Working for the Civil Service

The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants.

We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window).

The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.

The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.

Diversity and Inclusion

The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window).

**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 Management** ?
+ Manage 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 Recruitment** ?
+ Process 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 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

**Job Description**
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
**Job Description**
Boeings Defence UKs Digital Business is at the forefront of delivering innovative programmes within the Defence and Security Sectors across the UK.
We are seeking a Configuration & Data Management Specialist, to join our team of skilled digital and systems professionals. This role will primarily support the design and execution of a significant programme of work for the Ministry of Defence (MOD) in the Engineering and Logistics domain.
Boeing Defence UK is looking for Configuration& Data Management Specialist based in Bristol, United Kingdom.
**The role will include but not be limited to:**
+ Configuration and control of Boeing developed and COTS software from third parties.
+ Configuration and control of Boeing developed and COTS systems/software from third parties.
+ Deployment of software configuration processes and the execution of process controls.
+ The upfront development, interpretation and understanding of Customer requirements.
+ The planning and implementation of Configuration and Data Management.
+ Support the deployment of a standardised configuration management process throughout the organisation.
+ Identify risks, issues and opportunities and support the development of mitigation plans.
+ Collaborate and assist with developing the standardisation of configuration tool sets (including security and access) to meet company requirements.
+ Interfaces with Boeing bid and programme teams to drive the company configuration management requirements into contract initiation and review.
+ Provide input to Supplier Statements of Work for Configuration and Data Management proposals.
+ Provide input to the company budgetary/ forecast cycle relating to configuration management activities.
**Data Management Specific:**
+ Tracks and report data transmissions, monitoring adherence to company and regulatory data configuration and contractual requirements.
+ Tracking and processing of customer contracted data and supplier data deliverables.
+ Responsible for ensuring adherence to Export Compliance, Manufacturing License Agreement (MLA's), Security and Intellectual Property regulations and Boeing information protection processes.
+ Supports audits and reviews to ensure products meet requirements.
**Required qualifications (Experience/Education/Skills):**
+ Good knowledge of contractual configuration management regulatory and International Standards.
+ A high level of knowledge of CM and programme management principles and processes.
+ Has Commercial and financial awareness.
+ General knowledge of design, test and manufacturing procedures.
+ Good knowledge of key functional disciplines including engineering, operations, Customer Support Training and procurement.
+ Excellent communication skills - verbal, written electronic across all levels.
+ Ability to plan and deliver own workload.
+ High degree of IT literacy.
+ Preferred but not necessary is a CMII practitioner or has equivalent experience or qualification. Has knowledge of SAP or Goldesp or ITIL .
The ability to obtain security clearance is essential
The position is subject to contract award.
Applications for this position will be accepted until **Aug. 01, 2025**
**Export Control Requirements:** This is not an Export Control position.
**Relocation**
Relocation assistance is not a negotiable benefit for this position.
**Security Clearance**
This position requires the ability to obtain a BPSS clearance.
**Visa Sponsorship**
Employer will not sponsor applicants for employment visa status.
**Shift**
Not a Shift Worker (United Kingdom)
**Equal Opportunity Employer:**
We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.
We have teams in more than 65 countries, and each person plays a role in helping us become one of the world's most innovative, diverse and inclusive companies. We are a Disability Confident Committed employer and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Senior Data Management Professional - Data Engineering
Location
London
Business Area
Data
Ref #
10044247
**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:**
The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloomberg's offerings.
**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:**
+ Build strategies to analyze processes and data engineering 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 coordinator.
+ Collaborate on database schema design and configure ETL pipelines to onboard new data sets.
+ 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 improve 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 sophisticated 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 demonstrable experience in data management concepts such as data engineering, data quality and data modeling.
+ Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R.
+ Experience using data visualization tools such as Tableau, Qlik Sense or Splunk.
+ Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts.
+ Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems.
**We'd Love to See:**
+ DAMA CDMP or DCAM certifications.
+ Keen interest and familiarity with generative AI frameworks.
+ Understanding of the importance of high quality annotations.
+ Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products.
+ 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
Location
London
Business Area
Data
Ref #
10044397
**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

Our premium brand Automotive client is currently recruiting for the following role:

Data Management and Validation Engineer - 28/hr (Inside IR35) - Coventry (hybrid potential) - 9 Months (potential for yearly renewal)

The Opportunity
Be a part of the team testing the next generation of electrified propulsion systems for luxury automotive products. Our client is at the forefront of development in hybrid and full electric powertrains, aiming to deliver electrifying performance and peerless refinement. This role will work across Electric machine, Electric Drive Unit (EDU), Inverter, Cell, Battery, Power in loop (PiL) and Vehicle in Loop (ViL) test beds. The person in this data validation and management role will be responsible in providing timely, accurate, secured and accessible test data for wider engineering group to enable efficient engineering decisions.

- Data Sources and Data Acquisition
- Data Quality validation
- Data piping
- Data storage
- Data visualisation

The specialist role requires an individual with knowledge of different testing environments data management and validation. The role will require you to work cross functionally to deploy a common approach to data piping, data validation tools as well to build a federated data platform. You will be working towards becoming the Subject Matter Expert for data management and validation and deliver a training package to develop others in order to improve the data quality produced by the team.

Key Accountabilities and Responsibilities
- Be responsible in data sources and data acquisition, data quality validation, data pipeline, data storage and data visualisation for physical test environment.
- Delivering data quality reviews to support programme targets and prove out chosen technologies.
- Develop calculations, parameterisation, regulations and process of in-house data tool development.
- Be responsible for confirming the facility is performing in repeatable and reproducible measurements compliant to regulations.
- Carry out correlation exercises between test facilities and test beds across test operation.
- Ensure continuous improvement of measurement quality by reviewing the measurement equipment, systems and methods used by providing data.
- Perform calculation and evaluation of test results, particularly of results from internal correlation measurements, and initiate corrective measures as required.
- Cooperate in projects for improving test bed consistency and repeatability (together with experts from internal departments and the Instrumentation & Test Systems business unit).
- Working closely with the subject matter expert for Data Quality ensuring that the team KPI's for Data Quality are met
- Recommend and justify process and other improvements to enable improved quality of data
- Research, communicate and implement best practice data quality methods and improve test field efficiency.
- Investigate best ways of working to make full use of equipment capability to improve data quality
- To continually encourage a growth mind-set across the team
- Coaching and facilitating in best technical practice, knowledge, methods in data validation and management for apprentice, new starter and existing team member development.
- Undertake any other work as directed by their line manager in connection with their job as may be requested

Knowledge, Skills and Experience
- Educated to degree level in a natural science, mathematical or engineering or computing discipline.
- Designing applications in different programming languages (preferable Python)
- Build data systems & pipelines, data validation and management in cloud platforms (AWS, Google Cloud).
- Data analysis skills, including hypothesis testing, uncertainty analysis, and process variation.
- Ability to work closely with engineering stakeholders influence analysis techniques to inform engineering decisions.
- Develop Key Performance Indicator (KPI) and ability to graphical data presentation.
- Technical / theoretical understanding of physical measurement equipment
- Ability to deliver written reports and technical presentations.
Desirable
- Academic thesis or capstone project in formal field of study.
- Six Sigma Green Belt
- Technical knowledge of process, calculation and measurement techniques demanded by both engineering and legislative requirements.
- Experience in measurement science.
- Quantitative understanding of equipment measurement sensitivity

Additional information:
This role is on a contract basis and is Inside IR35.
The services advertised by Premea Limited for this vacancy are those of an Employment Business.
Premea is a specialist IT & Engineering recruitment consultancy representing clients in the UK and internationally within the Automotive, Motorsport and Aerospace sectors.

Our premium brand Automotive client is currently recruiting for the following role:

Data Management and Validation Engineer - 28/hr (Inside IR35) - Coventry (hybrid potential) - 9 Months (potential for yearly renewal)

The Opportunity
Be a part of the team testing the next generation of electrified propulsion systems for luxury automotive products. Our client is at the forefront of development in hybrid and full electric powertrains, aiming to deliver electrifying performance and peerless refinement. This role will work across Electric machine, Electric Drive Unit (EDU), Inverter, Cell, Battery, Power in loop (PiL) and Vehicle in Loop (ViL) test beds. The person in this data validation and management role will be responsible in providing timely, accurate, secured and accessible test data for wider engineering group to enable efficient engineering decisions.

- Data Sources and Data Acquisition
- Data Quality validation
- Data piping
- Data storage
- Data visualisation

The specialist role requires an individual with knowledge of different testing environments data management and validation. The role will require you to work cross functionally to deploy a common approach to data piping, data validation tools as well to build a federated data platform. You will be working towards becoming the Subject Matter Expert for data management and validation and deliver a training package to develop others in order to improve the data quality produced by the team.

Key Accountabilities and Responsibilities
- Be responsible in data sources and data acquisition, data quality validation, data pipeline, data storage and data visualisation for physical test environment.
- Delivering data quality reviews to support programme targets and prove out chosen technologies.
- Develop calculations, parameterisation, regulations and process of in-house data tool development.
- Be responsible for confirming the facility is performing in repeatable and reproducible measurements compliant to regulations.
- Carry out correlation exercises between test facilities and test beds across test operation.
- Ensure continuous improvement of measurement quality by reviewing the measurement equipment, systems and methods used by providing data.
- Perform calculation and evaluation of test results, particularly of results from internal correlation measurements, and initiate corrective measures as required.
- Cooperate in projects for improving test bed consistency and repeatability (together with experts from internal departments and the Instrumentation & Test Systems business unit).
- Working closely with the subject matter expert for Data Quality ensuring that the team KPI's for Data Quality are met
- Recommend and justify process and other improvements to enable improved quality of data
- Research, communicate and implement best practice data quality methods and improve test field efficiency.
- Investigate best ways of working to make full use of equipment capability to improve data quality
- To continually encourage a growth mind-set across the team
- Coaching and facilitating in best technical practice, knowledge, methods in data validation and management for apprentice, new starter and existing team member development.
- Undertake any other work as directed by their line manager in connection with their job as may be requested

Knowledge, Skills and Experience
- Educated to degree level in a natural science, mathematical or engineering or computing discipline.
- Designing applications in different programming languages (preferable Python)
- Build data systems & pipelines, data validation and management in cloud platforms (AWS, Google Cloud).
- Data analysis skills, including hypothesis testing, uncertainty analysis, and process variation.
- Ability to work closely with engineering stakeholders influence analysis techniques to inform engineering decisions.
- Develop Key Performance Indicator (KPI) and ability to graphical data presentation.
- Technical / theoretical understanding of physical measurement equipment
- Ability to deliver written reports and technical presentations.
Desirable
- Academic thesis or capstone project in formal field of study.
- Six Sigma Green Belt
- Technical knowledge of process, calculation and measurement techniques demanded by both engineering and legislative requirements.
- Experience in measurement science.
- Quantitative understanding of equipment measurement sensitivity

Additional information:
This role is on a contract basis and is Inside IR35.
The services advertised by Premea Limited for this vacancy are those of an Employment Business.
Premea is a specialist IT & Engineering recruitment consultancy representing clients in the UK and internationally within the Automotive, Motorsport and Aerospace sectors.