Product Manager - Data Platform
Own the strategy and roadmap for Spotify’s data catalogue, metadata, and lineage capabilities, helping data practitioners discover, understand, trust, and use data at scale. Requires 2+ years of product management experience, technical fluency, and strong cross-functional collaboration skills.
About the job
Responsibilities
- Develop and own product strategy and roadmap for data catalogue, metadata, and data lineage capabilities.
- Understand the needs of data engineers, data scientists, analysts, ML engineers, and AI agents.
- Identify and prioritize high-impact problems while balancing user needs, business priorities, platform requirements, and regulatory considerations.
- Evaluate and deliver solutions through building, buying, or integrating third-party products and capabilities.
- Define success metrics and KPIs for adoption, value creation, and business impact.
- Build relationships with product, engineering, analytics, and data teams to understand workflows, gather feedback, and shape platform investments.
- Collaborate with engineering, design, and data science partners to deliver platform experiences.
- Influence stakeholders across the organization to align on product direction and priorities.
- Shape approaches to metadata, governance, discoverability, lineage, and trust in an AI-driven environment.
- Monitor trends across data platforms, developer tools, AI/ML infrastructure, analytics, and data governance.
Requirements
- 2+ years of Product Management experience, ideally with platform products, developer tools, data infrastructure, analytics platforms, or data governance systems.
- Technical foundation through a degree in Computer Science, Engineering, or a related field, and/or prior engineering or technical experience.
- Ability to engage in technical discussions with engineers while representing customer and business needs.
- Strong communication, collaboration, and stakeholder-alignment skills.
- Strong systems-thinking skills connecting workflows, platforms, users, and business outcomes.
- Empathy for data practitioners and understanding of their challenges.
- Ability to work through ambiguity, break down complex problems, and create clarity.
Skills
Product Management, Product Strategy, Data Catalogues, Metadata, Data Lineage, Data Governance, Data Infrastructure, Analytics Platforms, Developer Tools, Ai/Ml Infrastructure, Kpi Metrics, Stakeholder Management
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