Overview

Technical Product Manager - Metadata Platform Infrastructure at Bloomberg.

Role focuses on leading the development and evolution of the metadata infrastructure, defining and driving the roadmap for core components that enable knowledge representation and delivery at scale—including data ingestion pipelines, enrichment and inference frameworks, distribution mechanisms, and semantic storage systems.

You will collaborate with engineering, data analysts, ontology developers, and business stakeholders to translate business needs into robust, scalable metadata solutions. You will be accountable for product strategy, technical planning, prioritization, and delivery oversight.

About The Role

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 data ecosystem. The platform ensures consistency, alignment, and semantic integrity of metadata across all lines of business, internal platforms and client-facing workflows, enabling cross-domain querying, advanced analytics, and enhanced search and discovery.

The Technical Product Owner will shape the future of this platform, working at the intersection of semantic technologies, product strategy, and large-scale data operations. This role is responsible for defining and driving the roadmap for core components that enable knowledge representation and delivery at scale.

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 tradeoffs 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 along 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 metadata is fit for purpose.

Qualifications

• 8+ years of experience in a technical product management role
• A passion for providing reliable, scalable, and easy-to-use infrastructure
• A product-driven focus with product management, organizational, and communication skills to coordinate with 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 equivalent work experience
• Breadth of knowledge and familiarity with semantic metadata, enterprise data/metadata platforms and industry best practices

Nice to Have

• Applied 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
• Experience championing ontologies, linked data, and graph technologies to meet strategic goals
• Experience building tools and workflows for financial products and services

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Management
• Industries: Advertising Services

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