Location
London

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
The Chief Data and Analytics Office (CDAO) at JPMorgan Chase builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage data. As the Data Catalog Product VP, 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.

You will lead with problems, not solutions, bringing deep UX and service design expertise, having built catalog or marketplace products at scale, and articulating how intelligent discovery evolves in an agentic AI world.

Key Responsibilities:
- 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 business users. Establish north-star metrics tied to real impact such as time-to-data, publishing velocity, discovery-to-integration conversion, repeat usage, and governance compliance. Manage the full lifecycle from problem discovery through delivery, adoption, and iteration.
- Design a World-Class Discovery Experience: Lead the UX and service design vision to create intuitive, fast, and delightful experiences 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 leading consumer marketplace patterns.
- Build for Multi-Channel: UI, API & Agents: Architect an API-first platform powering a beautiful web UI and programmatic access for code-first engineers. Integrate with daily tools such as notebooks, IDEs, orchestration platforms, chat interfaces, and copilots to eliminate context-switching. Design composable, reusable solutions that integrate with the broader CDAO ecosystem.
- Champion Both Sides of the Marketplace: Enable effortless publishing, documentation, versioning, and maintenance of datasets with rich metadata, automated quality profiling, and governance guardrails for producers. For consumers, reduce friction from discovery to access with self-service provisioning, entitlement workflows, and one-click integration with SageMaker, Databricks, and EMR. Leverage network effects by analyzing usage trends to improve data quality, discovery, and relevancy across persona groups.
- Collaborate with Engineering, Design & Data Science: Work closely with UX designers and researchers on usability testing, rapid prototyping, and user validation. Write detailed PRDs and technical documentation for engineers and consumers.
- Lead & Influence the Team: Influence cross-functional stakeholders including engineering, architecture, data science, governance, UX, and senior business leaders. Mentor and develop junior product managers.

Why Join Us
Work on firm-wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMorgan Chase. Shape the future of AI/ML and data infrastructure at one of the world's largest financial institutions. JPMorgan Chase is a global leader in financial services, committed to building trusted, long-term partnerships and fostering a diverse and inclusive workforce.

Experience
- 8+ years in technical product management delivering catalog, marketplace, or discovery platforms from ideation to production at scale.
- Deep UX and service design sensibility with a passion for building clear, intuitive, and scalable UI experiences.
- Multi-channel product delivery experience across web UI, API, and/or conversational/agent-based interfaces.
- Technical depth in data infrastructure including data catalogs, metadata management, governance frameworks, and data quality tooling.
- Strong communication skills to translate technical complexity into clear narratives for engineers, designers, and executives.
- Proven ability to prioritize at scale balancing business impact, user value, and technical feasibility.

About You
- Experience in financial services or highly regulated industries is preferred.
- Demonstrated success building or scaling data catalogs, data marketplaces, feature stores, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan).
- Understanding of agentic AI patterns such as tool-use, retrieval-augmented generation (RAG), function calling, and how marketplace APIs can be exposed to LLM-based agents.
- Experience with search relevance and recommendation systems including ranking algorithms, semantic search, and personalization.
- Hands-on familiarity with Snowflake, Databricks, Airflow, and Kafka.

Qualifications
- Advanced degree or equivalent experience in a relevant field is advantageous but not mandatory.
- Demonstrated leadership and mentoring capabilities.
- Commitment to fostering diversity, equity, and inclusion in the workplace.