Technical Product Manager - Metadata Platform Infrastructure
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Overview
The Metadata Strategy team, part of Bloomberg’s CTO Office, defines and delivers the long-term strategy for how semantic data and metadata are structured, managed, and leveraged across the company. Our mission is to build scalable, intelligent systems that make data more meaningful, discoverable, and interoperable across Bloomberg’s diverse products and platforms.
Location: London
Business Area: Engineering and CTO
Reference #: 10045794
Role Description
Bloomberg’s Metadata Platform is a state‑of‑the‑art system that empowers the creation, management, governance, and distribution of semantic models and metadata across the enterprise. It provides robust capabilities for model‑driven metadata enrichment and intelligent distribution pipelines, serving as a foundational layer for knowledge representation and interoperability within Bloomberg’s vast and complex data ecosystem.
As a centralized infrastructure, the platform ensures consistency, alignment, and semantic integrity of metadata across all lines of business, internal platforms, and a wide array of client‑facing workflows. By linking disparate data silos across domains, it unlocks cross‑domain querying, advanced analytics, and enhances search and discovery experiences for both internal users and external clients.
The technical product owner will play a key role in shaping the future of this platform, working at the intersection of semantic technologies, product strategy, and large‑scale data operations.
Responsibilities
* Define and execute the long‑term product strategy, vision, and roadmap for the metadata platform infrastructure.
* Align technical requirements of the platform with enterprise data strategy, FAIR principles, and AI/ML enablement goals.
* Lead the design and development of modular, reusable data ingestion pipelines for various data sources.
* Partner with engineering to deliver scalable services for automated data onboarding, enrichment, profiling, and validation, supported by federation, caching, and data materialization for optimal performance.
* Implement governance capabilities to ensure metadata provenance, versioning, lineage, and compliance.
* Work cross‑functionally to align platform features with developer needs, downstream consumer requirements, and enterprise strategy.
* Maintain a clear and prioritized backlog, write user stories, define acceptance criteria, and coordinate delivery in agile teams.
* Communicate platform vision, progress, and technical trade‑offs to stakeholders at all levels—from engineers to executives.
* Scope technical initiatives, balancing quick wins vs. long‑term architectural investment.
* Identify key use cases across domains and translate them into functional requirements for data ingestion, enrichment, distribution, and storage layers.
* Drive architectural decisions alongside technical leads, ensuring reusability and modularity across systems.
* Evaluate and select tools, platforms, and frameworks for data infrastructure in partnership with the engineering team.
* Gather and prioritize requirements from diverse stakeholders, including ontology engineers, data owners, AI teams, and product teams.
* Facilitate alignment between technical engineering teams and business domain experts to ensure our metadata is fit for purpose.
Required Qualifications
* 8+ years of experience in a technical product management role.
* A passion for providing reliable, scalable, and user‑friendly infrastructure.
* A product‑driven focus, with strong communication skills to coordinate across Engineers, other Product Managers, and Senior Management.
* Familiarity with agile practices and backlog grooming across cross‑functional engineering teams.
* A strong technical or engineering background and broad technical fluency.
* A track record of shaping business strategy and roadmaps for technical products.
* A degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience.
* Broad knowledge of semantic metadata, enterprise data/metadata platforms, industry best practices, and tooling.
Desired Skills
* Experience with semantic technologies and W3C standards.
* Understanding of financial markets, instruments, and products.
* Experience with system integration and data onboarding pipelines.
* Open‑source involvement or community presence.
* Capability to evaluate and champion ontologies, linked data, and graph technologies to support strategic goals.
* Experience building tools and workflows that support financial products and services.
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