Location
London
Business Area
Data
Ref #
10048612
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint a complete picture for our clients—around the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology—quickly 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.
The Role
This role sits in Semantic Integrations, part of our Knowledge Graph Group. You will define "what good looks like." You will move beyond high-level policy to define the concrete standards, naming conventions, and architectural blueprints that govern platforms by setting up an enterprise-wide governance framework and best practices across Data, Product, and Engineering. You will operate as a bridge between strategy and execution—ensuring 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, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
We’ll Trust You To
- Define & Evolve Governance Standards: Author, maintain, and evolve governance policies, minimum requirements, and best-practice 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 real-world feedback.
- Drive Cross-Domain Alignment: Act as a point of coordination across Data, Product, and Engineering for governance-related 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 self-service 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 hands-on support. Act as a trusted advisor to teams navigating governance, quality, or ownership challenges.
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.
- 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 (vendor-agnostic).
- 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.
We’d 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 data-driven environments (financial services, data providers, platforms).
- Evidence of mentoring, facilitation, or informal leadership in cross-functional 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 we're a good match! We'll get in touch to let you know what the next steps are.
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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