Data Catalog Product VP

The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management Analytics and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO theData for AI Product Management teamcreates reusable platform solutions that transform how data producers and consumers discover access govern and leverage data.

As the Data Catalog Product Manager you will play a pivotal role in building a unified multi-channel data marketplace where thousands of firmwide datasets become easy to find preview and integrate across application and AI use cases. You will own the end-to-end vision strategy and execution spanning a rich web UI programmatic APIs and future agentic integrations (Claude Copilot internal AI assistants) that meet consumers where they already work.

We want someone who leads with problems not solutions who brings deep UX and service design expertise has built catalog or marketplace products at scale and can articulate how intelligent discovery evolves in an agentic AI world.

What Youll Do

Own the Catalog Vision & Strategy

• Define the multi-year product vision and roadmap for firmwide data discovery serving data scientists ML engineers analytics engineers and increasingly business users.
• Establish north-star metrics tied to real impact: time-to-data publishing velocity discovery-to-integration conversion repeat usage and governance compliance.
• Own the full lifecycle from problem discovery delivery adoption iteration.

Design a World-Class Discovery Experience

• Lead the UX and service design vision intuitive fast and delightful across all touchpoints.
• Build rich dataset pages with metadata schema previews sample data interactive code samples lineage quality scores usage stats ratings and community annotations inspired by the best consumer marketplace patterns (Kaggle Spotify App Store).

Build for Multi-Channel: UI API & Agents

• Architect an API-first platform powering a beautiful web UI today and programmatic access for code-first engineers.
• Meet consumers in their daily tools notebooks IDEs orchestration platforms chat interfaces copilots eliminating context-switching.
• Design composable reusable solutions that integrate with the broader CDAO ecosystem.

Champion Both Sides of the Marketplace

• Producers: Make it effortless to publish document version and maintain datasets with rich metadata automated quality profiling and governance guardrails.
• Consumers: Reduce friction from discovery to access self-service provisioning entitlement workflows one-click integration with SageMaker Databricks and EMR.
• Network effects: Analyze usage trends to improve data quality discovery and relevancy across persona groups

Collaborate with Engineering Design & Data Science

• Work with UX designers and researchers on usability testing rapid prototyping and user validation.
• Write detailed PRDs and technical documentation that engineers and consumers can act on.

Lead & Influence the team

• Influence cross-functional stakeholders engineering architecture data science governance UX and senior business leaders.
• Mentor and develop junior product managers.

Required Skills

• 8 years in technical product management delivering catalog marketplace or discovery platforms from ideation to production at scale.
• Deep UX & service design sensibility passion to build clear intuitive and scalable UI experiences.
• Multi-channel product delivery shipped across web UI API and/or conversational/agent-based interfaces.
• Technical depth in data infrastructure data catalogs metadata management governance frameworks data quality tooling.
• Strong communication translate technical complexity into clear narratives for engineers designers and executives.
• Prioritisation at scale balance competing demands across a large stakeholder base by weighing business impact user value and technical feasibility.

Preferred

• Experience in financial services or highly regulated industries.
• Built or scaled a data catalog data marketplace feature store or developer portals (e.g. Kaggle Datasets Unity Catalog Collibra Alation Atlan).
• Understanding of agentic AI patterns tool-use RAG function calling and how marketplace APIs can be exposed to LLM-based agents.
• Experience with search relevance & recommendation systems ranking algorithms semantic search personalisation.
• Hands-on with Snowflake Databricks Airflow Kafka.

Why Join Us

• Work onfirm-wide platformsused by thousands of data scientists ML engineers and analysts across JPMC
• Shape the future ofAI/ML and data infrastructureat one of the worlds largest financial institutions