82 Metadata Management jobs in the United Kingdom

The Cadillac Formula 1® Team is what happens when history, purpose and daring talent come together. Backed by TWG Global and GM, our team is uniquely positioned to disrupt Formula 1® , bringing a fresh perspective and an unrelenting drive for success. We have the energy of a start-up, with the ideas and originality of a business that always wants to lead, never wants to follow.

We’re building everything from the ground up, from a high-performance car to an inclusive, values-driven culture. We show bold ambition. We combine leadership in innovation with excellence in execution. We are one team. We have the freedom to think differently, the opportunity to shape process and practice, an ego-free environment where people thrive on being challenged by those around them. A historic name behind us. Career-defining moments ahead.

A New Chapter Begins.

Fueled by bold ambition
Play your part in getting us on the grid.

Closing Date: 7th November 2025

We have an opportunity for an Aero Data Quality Engineer to join the team at our Silverstone facility. In this role you will work within a group of engineers to provide input to the Aero Performance & Correlation Group, specifically in the field of correlation across our wind tunnel, CFD and track data whilst ensuring that the data acquired in each environment is accurate and reliable. At The Cadillac Formula 1® Team, we aspire to be the absolute best in every aspect of our team. Team members are encouraged to challenge established thinking and share their ideas to create an environment where everyone can contribute to our shared success.

• Ensure the accuracy and reliability of aero performance data collected from wind tunnel tests, CFD simulations and on-track telemetry
• Develop and implement data validation and quality control processes to maintain high standards of data integrity
• Collaborate with aerodynamicists, engineers and data scientists to identify and resolve data quality issues
• Conduct regular audits and reviews of data quality processes to ensure continuous improvement as part of the wider correlation project
• Work closely with other members of the Aero Performance group and other engineering groups
• Provide a flexible attendance and attitude to work, in line with the requirements for the role and specific project requirements

Requirements

Driven by high performance
What do you need to bring to the team?

• A degree in a relevant discipline (Aerodynamics/Aeronautics) or equivalent
• Relevant experience in a similar role, ideally within the motorsport industry
• A good understanding of aerodynamics is required, with a keen attention to detail and must possess strong analytical and problem-solving skills
• Good knowledge of data acquisition methods in an aerodynamic test environment
• Good coding skills in a mathematical language (e.g. Python)
• Demonstrate excellent interpersonal skills, communicating effectively with key stakeholders/directors
• Positively contribute to an open and inclusive culture

A team like no other.

The Cadillac Formula 1® Team challenges conventions and redefines success through bold ambition, cutting-edge innovation, and an unwavering commitment to precision and excellence—on and off the track. This includes offering industry-leading pension, generous time off and, as part of a global brand, huge potential for career development.

As an equal opportunities employer, we are committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy or maternity, race or ethnicity, religion or belief, gender identity or marriage and civil partnership. We aspire to have a diverse and inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply.

At The Cadillac Formula 1 ® Team, all Team Members are expected to actively support and uphold our policies and procedures, including those focused on Environmental responsibility, Sustainability initiatives, Inclusion and Health and Safety practices.

Please note that additional security checks may be required as part of the recruitment process. This may include a background check covering a minimum of the past five years and a criminal record check.

Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity’s most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics.

Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford’s science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration.

The Pathogen Mission highlights EIT’s transformative approach, using Whole Genome Sequencing (WGS) and Oracle’s cloud technology to create a global pathogen metagenomics system. This initiative aims to improve diagnostics, provide early epidemic warnings, and guide treatments by profiling antimicrobial resistance. The goal is to deliver certified diagnostic tools for widespread use in labs, hospitals, and public health.

EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity’s enduring challenges.

We are seeking to recruit a Data Quality Analyst to support our goal of building a world-leading, high-quality and curated data resource to support our science teams in delivering transformative pathogen metagenomics systems.

You will be responsible for identifying, investigating and resolving data quality issues including inaccuracies, inconsistencies and completeness issues to ensure that our data resource is accurate, reliable and trustworthy. You'll collaborate closely with the data acquisition team and our partnership managers to ensure that our partner network receives the feedback they need to learn from and continuously improve the quality of the data acquisition process.

Key Responsibilities

• Responsible for profiling and analysing the data held within the data platform to identify errors, inconsistencies, duplicates and missing values, ensuring completeness and accuracy of the data sets.
• Curation of data to ensure that data meets the quality requirements of the science teams for their project work.
• Collaborate with the data engineers and science teams to ensure that data quality rules are defined, implemented and monitored in order to deliver a continuous improvement process with data acquisition partners.
• Resolve issues with data quality by investigating root causes with science teams and partners to implement solutions to data quality issues.
• Create and support data quality dashboards to validate the data and share insights on data quality with the science teams.
• Ensure data which has failed as part of the ingest services due to quality issues is actioned in a timely way.
• Work with the Data Governance Manager to support the implementation of data governance policies and standards within the data platform, ensuring that data access is managed correctly and that the data being used by science teams meets the required quality criteria.
• Work with the genomic data scientists, architects and data engineers to understand the data use cases and processing and how the infrastructure can be improved.
• Ensure that data management processes are meeting regulatory requirements and policy.

Requirements

Essential Knowledge, Skills and Experience

• Strong understanding of genomic data and the biological significance of quality metrics.
• Experience with pathogen sample metadata including MIC values and Antimicrobial Susceptibility.
• Experience with data analysis methods and tools, including statistical analysis and SQL querying for structured data.
• Ability to build and support analytical dashboards.

Desirable Knowledge, Skills and Experience

• Experience with Oracle OCI.
• Experience with data quality tooling and profiling.
• Familiarity with data governance in a genomics data domain.
• Strong collaboration and communication skills in order to interact with both technical and science teams.
• Experience with healthcare clinical data and associated standards such as OMOP and SNOMED.
• Experience with designing and building analytical reports using tools such as Oracle Analytics, Tableau, Qlik, or Power BI.

Key Attributes:

• Collaboration
• Ability to work in a fast-paced environment
• Excellent problem-solving, analytical, and communication skills

Benefits

We offer the following benefits:

• Enhanced holiday pay
• Pension
• Life Assurance
• Income Protection
• Private Medical Insurance
• Hospital Cash Plan
• Therapy Services
• Perk Box
• Electrical Vehicle Scheme

 Why work for EIT:

At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!

 Terms of Appointment:

• You must have the right to work permanently in the UK with a willingness to travel as necessary.
• You will live in, or within easy commuting distance of, Oxford.
• During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.

The Cadillac Formula 1® Team is what happens when history, purpose and daring talent come together. Backed by TWG Global and GM, our team is uniquely positioned to disrupt Formula 1® , bringing a fresh perspective and an unrelenting drive for success. We have the energy of a start-up, with the ideas and originality of a business that always wants to lead, never wants to follow.

We’re building everything from the ground up, from a high-performance car to an inclusive, values-driven culture. We show bold ambition. We combine leadership in innovation with excellence in execution. We are one team. We have the freedom to think differently, the opportunity to shape process and practice, an ego-free environment where people thrive on being challenged by those around them. A historic name behind us. Career-defining moments ahead.

A New Chapter Begins.

Fueled by bold ambition
Play your part in getting us on the grid.

Closing Date: 24th October 2025

We have an opportunity for an Aero Data Quality Engineer to join the team at our Silverstone facility. In this role you will work within a group of engineers to provide input to the Aero Performance & Correlation Group, specifically in the field of correlation across our wind tunnel, CFD and track data whilst ensuring that the data acquired in each environment is accurate and reliable. At The Cadillac Formula 1® Team, we aspire to be the absolute best in every aspect of our team. Team members are encouraged to challenge established thinking and share their ideas to create an environment where everyone can contribute to our shared success.

• Ensure the accuracy and reliability of aero performance data collected from wind tunnel tests, CFD simulations and on-track telemetry
• Develop and implement data validation and quality control processes to maintain high standards of data integrity
• Collaborate with aerodynamicists, engineers and data scientists to identify and resolve data quality issues
• Conduct regular audits and reviews of data quality processes to ensure continuous improvement as part of the wider correlation project
• Work closely with other members of the Aero Performance group and other engineering groups
• Provide a flexible attendance and attitude to work, in line with the requirements for the role and specific project requirements

Requirements

Driven by high performance
What do you need to bring to the team?

• A degree in a relevant discipline (Aerodynamics/Aeronautics) or equivalent
• Relevant experience in a similar role, ideally within the motorsport industry
• A good understanding of aerodynamics is required, with a keen attention to detail and must possess strong analytical and problem-solving skills
• Good knowledge of data acquisition methods in an aerodynamic test environment
• Good coding skills in a mathematical language (e.g. Python)
• Demonstrate excellent interpersonal skills, communicating effectively with key stakeholders/directors
• Positively contribute to an open and inclusive culture

A team like no other.

The Cadillac Formula 1® Team challenges conventions and redefines success through bold ambition, cutting-edge innovation, and an unwavering commitment to precision and excellence—on and off the track. This includes offering industry-leading pension, generous time off and, as part of a global brand, huge potential for career development.

As an equal opportunities employer, we are committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy or maternity, race or ethnicity, religion or belief, gender identity or marriage and civil partnership. We aspire to have a diverse and inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply.

At The Cadillac Formula 1 ® Team, all Team Members are expected to actively support and uphold our policies and procedures, including those focused on Environmental responsibility, Sustainability initiatives, Inclusion and Health and Safety practices.

Please note that additional security checks may be required as part of the recruitment process. This may include a background check covering a minimum of the past five years and a criminal record check.

Senior Data Management Professional - Data Quality - Loans
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.
**The Team:**
Our Loans Data team is responsible for acquiring and maintaining the full life-cycle of data relating to the Broadly Syndicated and Institutional Loans Market. Timely and accurate acquisition, interpretation, capture and maintenance of loan data is key to meet client needs. The loans market has seen increasingly historic volumes over the past two years in addition to more complex deal structures which has placed emphasis on the need for electronification and automation, uncovering an opportunity for technical innovation for our team.
As a technical leader, you will work with different Securities teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.
**What's the role?**
We are looking for a Data Quality professional to understand the data requirements, specify the modeling needs of datasets and use existing tech stack solutions for efficient data ingestion workflows and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches to make sure our data is fit-for-purpose for our clients. You will work closely with our Engineering partners, our Data Product Owner as well as Product teams, so you need to be able to coordinate with multi-disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large datasets and you will need to demonstrate strong experience in data engineering.
**That means:**
Transforming how we manage the quality of our datasets, by applying industry best practices to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clients' needs
Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
Providing guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
Defining and driving the Data Quality strategy and Quality Assurance practices for the whole Securities group
**We'll trust you to:**
+ Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion organizational change around data quality as a domain of data management
+ Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
+ Closely collaborate with Securities teams and their Product and Engineering counterparts to help craft data quality strategy, execution roadmap, define return on investment and technical solutions
+ Perform data profiling and apply statistical methods to support data quality measurements
+ Optimally and proactively connect with partners and senior management
+ Keep up with the industry trends, standards, and innovation in the Data Quality domain
**You'll need to have:**
+ 4+ years of professional experience in Data Quality Management, Quality Assurance Consulting or establishing Data Governance on metrics design within Finance or Technology industries
+ Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
+ Understanding of ETL processes and broader data workflow engineering concepts
+ Up-to-date knowledge of events taking place in the financial markets
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
+ Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
**We'd love to see:**
+ DAMA CDMP or DCAM certifications
+ Familiarity with Corporate Actions, Loans, Corporate Bonds
+ Project Management experience developed in a matrixed partner environment and cross-regional business
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.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
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

Description
AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! The Amazon Artificial General Intelligence (AGI) team is seeking a detail-oriented Quality Auditor to join our team at AGI. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training.
Key job responsibilities
-Conduct quality audits on individual workflows and units delivered by Data Associates
-Coach and calibrate Data Associates co-located at your site to improve performance
-Provide detailed insights on Data Associate-level quality and identify root causes of issues
-Perform manual reviews to validate automated quality measurement systems
Document and report quality findings accurately and efficiently
-Perform audits to support deep dives and escalations as needed
-Maintain strict compliance with quality standards and procedures
-Work closely with Quality Audit Managers to improve processes and implement best practices
-Contribute to continuous improvement initiatives within the quality assurance team
About the team
Amazon strives to be the world's most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. AGI provides speech recognition capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data labeling services to our customers, that enables them to build advanced ML models.
Basic Qualifications
- Strong analytical and problem-solving skills
- Advanced-level proficiency in English language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
Preferred Qualifications
- Bachelor's degree
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
- Experience managing stakeholder relationships across departments
- Written and verbal communication skills for the purpose of effective feedback communication
- Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! The Amazon Artificial General Intelligence (AGI) team is seeking a detail-oriented Quality Auditor to join our team at AGI. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training.
Key job responsibilities
-Conduct quality audits on individual workflows and units delivered by Data Associates
-Coach and calibrate Data Associates co-located at your site to improve performance
-Provide detailed insights on Data Associate-level quality and identify root causes of issues
-Perform manual reviews to validate automated quality measurement systems
Document and report quality findings accurately and efficiently
-Perform audits to support deep dives and escalations as needed
-Maintain strict compliance with quality standards and procedures
-Work closely with Quality Audit Managers to improve processes and implement best practices
-Contribute to continuous improvement initiatives within the quality assurance team
About the team
Amazon strives to be the world's most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. AGI provides speech recognition capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data labeling services to our customers, that enables them to build advanced ML models.
Basic Qualifications
- Strong analytical and problem-solving skills
- Advanced-level proficiency in English language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
Preferred Qualifications
- Bachelor's degree
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
- Experience managing stakeholder relationships across departments
- Written and verbal communication skills for the purpose of effective feedback communication
- Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Senior Data Management Professional - Data Quality - Entities Data (Private Markets)
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 optimize the value of our data by combining domain and technical expertise to make data fit-for-purpose, timely, and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and deliver a high level of customer service.
**Our Team**
The Entity Data team is responsible for the creation, enrichment, and support of core entity data, including legal entities, issuers, and corporate hierarchies, for over 7 million public and private companies. This data underpins foundational reference data, private markets, and risk management. The team partners closely with Engineering, Product, and other Data groups to ensure our data management processes, ingestion pipelines, quality controls, and delivery methods evolve with market needs.
**What's the Role?**
As a Data Quality Manager, you will define and execute the quality strategy that ensures our datasets are reliable, consistent, and ready for critical client use cases. You will lead efforts to design and implement effective data management practices, establish quality metrics, and deliver transparent reporting. Your work will directly support the transformation of our data workflows, enabling scalability for private markets and beyond.
This role requires a mix of technical expertise, governance mindset, and stakeholder engagement skills. You'll collaborate closely with Engineering, Product, and internal Centers of Excellence to ensure our datasets evolve in line with industry standards while also meeting client expectations for accuracy, coverage, and usability.
**We'll Trust You To:**
+ Develop and deliver the data quality strategy for the Entities product, aligning it with client use cases and industry best practices.
+ Define, measure, and monitor data quality metrics that ensure transparency and accountability across workflows.
+ Partner with Product, Engineering, and Data teams to embed quality-by-design principles into ingestion, transformation, and delivery pipelines.
+ Perform data profiling, statistical analysis, and root cause investigations to validate approaches and recommend improvements.
+ Lead initiatives to modernize workflows-advocating for automation, AI/ML-enabled quality checks, and scalable infrastructure enhancements.
+ Promote data quality awareness and education across the organization, empowering colleagues to embed quality into their work.
+ Stay ahead of industry developments in reference data and private markets to shape our data strategy.
**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._
+ 4+ years of professional experience in data quality management, reference data, or data governance.
+ Hands-on experience with data profiling/analysis tools such as Python, R, or SQL.
+ Familiarity with ETL processes, data pipelines, and workflow design.
+ Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights.
+ Proven ability to collaborate across teams and geographies, influencing both technical and business partners.
+ Comfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needs.
+ Strong analytical skills, attention to detail, and a solutions-oriented mindset.
**We'd love to see:**
+ Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM).
+ Experience with reference data, entity/issuer data, or private markets datasets, including integration of third-party providers.
+ Exposure to Agile methodologies such as Scrum or Kanban.
+ Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations.
+ Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation.
+ Exposure to Agile methodologies such as Scrum or Kanban.
+ Awareness of emerging trends in Private Markets data, including the complexities of non-public entities and their role in financial workflows.
+ Understanding of financial use cases that depend on accurate entity data, such as client onboarding, compliance/KYC, counterparty risk, and issuer classification.
**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!
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
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

What can you expect in an AI Data Quality & Engineering Lead role with TaskUs:

Why this role exists:

As AI systems scale rapidly across industries, the integrity and accuracy of testing, training, and evaluation data have never been more critical. TaskUs needs a proactive leader who can architect and uphold high‑quality annotation workflows so that AI models are built and evaluated on reliable data without compromising on speed or efficiency.

The impact you’ll make:

• Build and guide a high-performing team : Lead and mentor a team of Data Quality Analysts, setting clear quality goals, delivering feedback, and fostering a culture of precision and accountability.
• Ensure quality at scale : Develop and continually refine robust QA processes, SOPs, and statistical quality metrics (e.g., F1 score, inter‑annotator agreement) to protect the integrity of annotation outputs.
• Drive transparency and insight : Create dashboards and reports that reveal quality trends, root causes of errors, and improvement opportunities - communicating these insights to leadership and clients.
• Champion tool innovation and efficiency : Manage annotation and QA platforms (like Labelbox, Dataloop, LabelStudio), and lead the evaluation or implementation of new automation tools to elevate efficiency and maintain quality.

Responsibilities:

- Strategic Leadership

• Drive the development, refinement, and documentation of quality assurance processes and standard operating procedures to ensure high-quality outputs.
• Establish comprehensive quality metrics (e.g. F1 score, inter-annotator agreement) that align with business objectives and industry standards.
• Continuously review and refine annotation workflows to proactively identify risks and areas to increase efficiency and reduce errors.
• Act as the subject matter expert on annotation quality, providing ongoing feedback, training, and support to annotators and project teams to uphold the highest quality standards.

- Analysis & Reporting

• Lead in-depth data analysis to diagnose quality issues, assess the effectiveness of quality strategies, and uncover root causes of recurring errors.
• Develop and maintain dashboards that provide real-time insights into quality metrics and project performance.
• Prepare and deliver strategic quality reports to senior management and clients, articulating quality trends, risks, and improvement plans.
• Partner with cross-functional teams, including operational management, engineering, and client services, to align on project goals and quality assurance initiatives.

- Operational Leadership

• Lead a team of Data Quality Analysts and provide mentorship, training, and expertise, fostering a culture of continuous improvement and accountability.
• Manage the configuration and integration of annotation and quality control tools (e.g. Labelbox, Dataloop, LabelStudio), ensuring optimal tool performance and alignment with project requirements
• Identify, evaluate, and implement innovative quality control tools and automation technologies to streamline quality control workflows, enhance analytical capabilities, and improve operational efficiency.

Required Qualifications

• Bachelor’s degree in a technical field (e.g. Computer Science, Data Science) or equivalent professional experience.
• 3+ years of experience in data quality management, data operations, or related roles within AI/ML or data annotation environments.
• Proven track record in designing and executing quality assurance strategies for large-scale, multi-modal data annotation projects.
• Proven track record in a leadership role managing and developing high-performing, remote or distributed teams.
• Deep understanding of data annotation processes, quality assurance methodologies, and statistical quality metrics (e.g., F1 score, inter-annotator agreement).
• Strong data-analysis skills, with the ability to interrogate large datasets, perform statistical analyses, and translate findings into actionable recommendations.
• Excellent communication skills, with experience presenting complex data and quality insights to technical and non-technical stakeholders.
• Proficiency with annotation and QA tools (e.g., Labelbox, Dataloop, LabelStudio).
• High-level of proficiency in common data-analysis tools, such as Excel and Google Sheets.
• Familiarity with programmatic data analysis techniques (e.g. Python, SQL).
• Familiarity with the core concepts of AI/ML pipelines, including data preparation, model training, and evaluation.

Preferred Qualifications

• Prior experience in an agile or fast-paced tech environment with exposure to AI/ML pipelines.
• Experience in a managed services or vendor-driven environment.
• Familiarity with prompt engineering and large-language-model assisted workflows to optimise annotation and validation processes.
• In-depth knowledge of ethical AI practices and compliance frameworks.

Senior Data Management Professional - Data Quality Engineer - Alternative Investment Funds
Location
London
Business Area
Data
Ref #

**Description & Requirements**
Bloomberg runs on data, and the Bloomberg Data team is responsible for supplying it. The Bloomberg Data department is responsible for sourcing, processing, and analyzing the data that is the backbone of our iconic Bloomberg Terminal. We apply problem-solving skills to identify creative workflow efficiencies, and we implement technology solutions to enhance our data, systems, products and processes while providing platinum customer support to our clients.
Our Team
Whether a fund investor, manager or advisor, Bloomberg has the data, solutions and industry network to help our clients take their fund and company analysis to the next level. The Alternative Investments data team is made up of market specialists and technologists with a passion for private markets, from fund launch to liquidation, seed round to IPO and all the data in between.
What's the role?
The Alternative Investment Funds Automation team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.
We'll trust you to:
+ Develop systematic strategies to analyse current processes, identify data quality gaps, and scale best practices
+ Lead the execution of data quality initiatives, best practices, and projects across global teams
+ Partner with Engineering and Product teams to embed data quality strategies into product and engineering roadmaps
+ Foster a product culture where data quality insights are discoverable, actionable, and transparent
+ Apply domain expertise to guide product and engineering decisions, ensuring high-quality outputs
+ Use technology and technical skills to drive systematic data quality assurance
+ Apply advanced data analysis skills to identify trends, patterns, and anomalies, informing data quality approaches
+ Stay current with internal best practices, industry standards, and innovations in data quality
+ Act as a hands-on owner in quality projects and product coordination, collaborating with Technical Specialists, Engineers, and Product Managers as needed
You'll need to have:
+ Bachelor's degree in Statistics, Data Analytics, Data Science, or another STEM-related field
+ Minimum of 4 years of experience* in data management concepts such as data quality, random sampling, and data modeling
+ Proven experience analyzing financial datasets or applying financial market concepts
+ Hands-on experience with data profiling and analysis using tools such as Python, R, or SQL
+ Strong ability to communicate results clearly and concisely through data visualization tools
+ Demonstrated ability to apply logical reasoning and critical thinking to solve complex problems
_*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*_
We'd love to see:
+ Experience in data science, technical consulting or the financial industry
+ Master's or PhD in a relevant field
+ Certification such as a CFA charter holder or CAIA
+ Familiarity with Agile or Scrum project management methodologies
+ Experience using data analysis and visualization tools such as Tableau or QlikSense
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!
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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.
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