At a Glance
- Tasks: Shape and implement data governance standards while ensuring quality and consistency.
- Company: Join Bloomberg, a leader in data-driven technology and innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Why this job: Make a real impact on data governance in a fast-paced environment.
- Qualifications: 4+ years in data management or governance with strong analytical skills.
- Other info: Collaborative culture with a focus on diversity and inclusion.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint a complete picture for our clientsâaround the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technologyâquickly and accurately. We apply product thinking, domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for-purpose in a fast-changing landscape.
This role sits in Semantic Integrations, part of our Knowledge Graph Group. You will define "what good looks like." You will move beyond highâlevel policy to define the concrete standards, naming conventions, and architectural blueprints that govern platforms by setting up an enterpriseâwide governance framework and best practices across Data, Product, and Engineering. You will operate as a bridge between strategy and executionâensuring that our Data is built upon a foundation of rigorous data quality, clear ownership, and consistent engineering practices.
As a Senior Data Management Professional, you will be responsible for shaping, implementing, and operationalizing metadata our clients rely on. You will act as a proactive specialist by setting the strategy in achieving quality and consistency, and delivering scalable governance across Bloomberg Data. Beyond governing data and being problem solvers, you are expected to transform the responsibilities of the team and scale the impact beyond whatâs possible today.
Weâll trust you to:
- Define & Evolve Governance Standards: Author, maintain, and evolve governance policies, minimum requirements, and bestâpractice standards. Ensure alignment with regulatory expectations (e.g., DORA, GDPR) and internal risk posture while keeping guidance practical and usable.
- Operationalize Governance in Delivery: Embed governance practices into product development, data lifecycle management, and engineering workflows. Partner with teams to pilot governance approaches and adapt them based on realâworld feedback.
- Drive CrossâDomain Alignment: Act as a point of coordination across Data, Product, and Engineering for governanceârelated topics. Resolve ambiguity around ownership, accountability, and standards through structured discussions and documented outcomes.
- Govern Shared Definitions & Semantics: Own the governance of shared vocabularies, taxonomies, and glossary standards. Facilitate agreement on critical business definitions and ensure consistency across platforms and domains.
- Measure Adoption, Maturity & Risk: Define meaningful metrics to assess governance adoption, maturity, and risk exposure. Report insights to stakeholders, focusing on outcomes such as compliance readiness, consistency, and decision quality.
- Facilitate Governance Forums & Working Groups: Plan and run governance working sessions, reviews, and decision forums. Prepare materials, drive consensus, and ensure decisions are clearly captured and communicated.
- Enable Best Practice Adoption: Develop playbooks, templates, and starter packs that support selfâservice adoption of governance standards. Continuously refine guidance to reflect changing business needs and lessons learned.
- Champion Governance Culture: Promote governance literacy through training, communication, and handsâon support. Act as a trusted advisor to teams navigating governance, quality, or ownership challenges.
Youâll need to have:
- Bachelor's degree in Business, Information Management, Computer Science, Law, or a related field.
- Solid understanding of regulatory and risk drivers (e.g., GDPR, BCBS 239, DORA) and how they translate into operational practices.
- 4+ years of experience in governance, data management, risk, compliance, or closely related disciplines.
- Demonstrated experience operating independently on complex, ambiguous governance problems.
- Strong working knowledge of governance and maturity frameworks.
- Proven ability to influence senior stakeholders and drive alignment without direct authority.
- Experience working with governance, metadata, or knowledge management tools (vendorâagnostic).
- Deep understanding and experience in Master Data Management (MDM) or Market Data Security Master Management.
- Project management skills with the ability to prioritize and adapt to tasks accordingly.
- Proficiency in SQL for data querying and manipulation.
- Experience with data visualization tools (e.g., Qlik, Tableau, Power BI) and advanced Excel functionality.
- Familiarity with scripting languages (e.g., Python) for data analysis and automation.
Weâd love to see:
- Experience establishing or significantly scaling governance practices in a complex organization.
- Exposure to metadata systems, data modeling, semantic technologies, linked data and/or knowledge graphs.
- Background in regulated or highly dataâdriven environments (financial services, data providers, platforms).
- Evidence of mentoring, facilitation, or informal leadership in crossâfunctional settings.
- Understanding of Data Governance and Data Management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
- Experience with collaborative design platforms, such as MIRO and FIGMA.
- Experience working in agile environments.
Does this sound like you? Apply if you think weâre a good match! Weâll 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 amer_recruit@bloomberg.net.
Senior Data Management Professional - Data Governance - Semantic Integrations London, GBR Poste[...] employer: Bloomberg L.P.
Contact Detail:
Bloomberg L.P. Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data Management Professional - Data Governance - Semantic Integrations London, GBR Poste[...]
â¨Tip Number 1
Network like a pro! Reach out to your connections in the data management field, especially those who work at Bloomberg. A friendly chat can open doors and give you insights that might just help you land that Senior Data Management Professional role.
â¨Tip Number 2
Prepare for interviews by diving deep into Bloomberg's data governance practices. Familiarise yourself with their products and how they use data. This will not only impress your interviewers but also show that you're genuinely interested in the role.
â¨Tip Number 3
Showcase your expertise! Bring examples of your past work in data governance or management to the table. Whether it's a project you led or a problem you solved, concrete examples will make you stand out as a candidate.
â¨Tip Number 4
Don't forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, it shows you're serious about joining the Bloomberg team and ready to contribute to their innovative data solutions.
We think you need these skills to ace Senior Data Management Professional - Data Governance - Semantic Integrations London, GBR Poste[...]
Some tips for your application đŤĄ
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data governance and management. We want to see how your skills align with the role, so donât hold back on showcasing your relevant achievements!
Showcase Your Technical Skills: Since this role involves a lot of technical know-how, be sure to mention your proficiency in SQL, data visualisation tools, and any scripting languages youâre familiar with. We love seeing candidates who can bridge the gap between data and technology!
Demonstrate Your Problem-Solving Abilities: Weâre looking for someone who can tackle complex governance issues. Use your application to share examples of how you've successfully navigated ambiguity and driven alignment in previous roles. This will really help us see your potential impact!
Apply Through Our Website: Donât forget to submit your application through our website! Itâs the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, itâs super easy to do!
How to prepare for a job interview at Bloomberg L.P.
â¨Know Your Governance Standards
Before the interview, brush up on the key governance standards and regulatory frameworks relevant to the role, like GDPR and DORA. Be ready to discuss how these impact data management practices and share examples of how you've applied them in your previous roles.
â¨Showcase Your Problem-Solving Skills
Prepare to discuss complex governance problems you've tackled in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your ability to navigate ambiguity and drive alignment across teams.
â¨Demonstrate Cross-Domain Collaboration
Think of specific instances where you've worked with different teamsâlike Data, Product, and Engineeringâto implement governance practices. Be ready to explain how you facilitated discussions and resolved conflicts around ownership and accountability.
â¨Highlight Your Technical Proficiency
Familiarise yourself with the tools and technologies mentioned in the job description, such as SQL, data visualisation tools, and scripting languages. Be prepared to discuss how you've used these in your previous roles to enhance data quality and governance.