Unstructured Data & Knowledge Management Team - Analytics Solutions Manager (VP)

JPMorgan Chase & Co.; New York (NY); On-site; USD 170,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Analytic Solutions Manager to shape knowledge publishing and machine-readable data for AI agents. You will lead roadmaps, partner with senior leaders, and drive adoption of common standards across Chase Consumer & Community Banking.

You will guide product analysts, data scientists, and engineers to deliver iterative improvements with clear metrics, while ensuring risk and regulatory requirements are met.

Qualifications

• Bachelor's degree or equivalent; 7+ years in product management, cross-functional delivery.
• 4+ years leading knowledge management, search, or data science products with measurable impact.
• Strong product lifecycle experience: discovery to measurement, AI-powered systems.
• Expertise in knowledge management standards: taxonomy, metadata, lifecycle workflows, AI-ready formats.

Responsibilities

• Define and deliver the knowledge management strategy; own backlog and multi-year roadmaps.
• Build outreach programs to drive adoption of standards and knowledge approaches at scale.
• Set strategy for machine-readable content, RAG-friendly formats, and governance.

Skills

Product management

Knowledge management

AI-enabled systems

Cross-functional leadership

Strategy & roadmaps

Education

Bachelor's degree or equivalent

Master's degree (computer science or related)

Tools

AI productivity tools

Knowledge management platforms

Search/retrieval systems

Job description

Join the team building the data foundations, platforms, and intelligent products that power decision-making across JPMorgan Chase. We are turning the firm's data and knowledge into trusted, reusable assets at scale.

As an Analytic Solutions Manager, within the CCB Data & Analytics Knowledge & Unstructured Data team, you will partner with leaders across Chase Consumer & Community Banking to design and drive how the firm documents and publishes knowledge in a machine-readable state that is maximally usable by AI agents and set the strategy, build the roadmaps, and lead outreach to lines of business to shape their unstructured-data publishing approach.

Job Responsibilities:

• Partner with senior CCB leaders to define and deliver the knowledge management strategy; own the backlog, drive the product vision, and build multi-year roadmaps that align priorities across lines of business.
• Build and run structured outreach across lines of business — engagement models, best-practice playbooks, and enablement programs that drive adoption of common standards and a shared knowledge approach at scale.
• Set the strategy for uplifting content into machine-readable, RAG-friendly formats — structure, metadata, taxonomy, and governance — so knowledge bases across the firm are ready for agentic consumption.
• Identify high-impact areas where tool use and automated workflows create business value; pilot, measure, and scale the winners across the firmwide knowledge domain.
• Guide product analysts, data scientists, data owners, and engineers to build impactful products, shipping iterative improvements against clear success metrics.
• Lead discovery and market research to uncover customer solutions and integrate them into the roadmap; engage customers across organization to understand pain points, gather feedback, and validate features.
• Lead change management across functional partners and ensure adherence to the firm's risk, controls, compliance, and regulatory requirements — managing timelines and dependencies, monitoring blockers, ensuring adequate resourcing, and liaising with stakeholders throughout.

Required qualifications, capabilities, and skills:

• Bachelor's degree or equivalent experience, plus 7+ years of product management experience owning delivery in complex, cross-functional environments.
• 4+ years leading knowledge management, search, or data science products, with measurable impact on business outcomes.
• Strong command of the product development lifecycle (discovery, ideation, requirements, roadmap, business benefits, experimentation) and value measurement, with hands-on experience building AI-powered systems.
• Expertise in knowledge management strategy and standards — taxonomy, metadata, versioning, lifecycle workflows, and machine-readable/AI-ready formats and familiarity with enterprise knowledge management platforms, search/retrieval systems, and analytics for relevance and answer-quality evaluation.
• Hands-on experience with unstructured content at scale — documents, transcripts, images, audio/video — and building the pipelines to make it AI-ready and practical understanding of RAG architectures, embeddings, vector stores, and chunking/indexing strategies.
• Strong knowledge of generative AI technologies and a demonstrated ability to build stakeholder relationships and lead change management in a regulated environment.
• Power user of AI productivity tools, fluent in connectors, skill development, and context curation for AI enablement.

Preferred qualifications, capabilities, and skills:

• Preferred qualifications include master's degree in computer science, knowledge representation, or a related discipline