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

JPMorgan Chase & Co.; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Analytic Solutions Manager to partner with CCB leaders and shape how the firm documents and publishes knowledge in a machine-readable form for AI agents.

You will set strategy, build roadmaps, and lead outreach across lines of business to uplift unstructured data publishing, guiding analysts, data scientists, and engineers to deliver AI-ready knowledge products while meeting risk and regulatory requirements.

Qualifications

• Bachelor's degree or equivalent required.
• 4+ years leading knowledge management, search, or data science products with measurable impact.
• Strong product development lifecycle experience and value measurement, with AI readiness.
• Expertise in knowledge management strategy—taxonomy, metadata, lifecycle workflows, AI-ready formats.

Responsibilities

• Define and deliver knowledge strategy; own backlog and roadmaps.
• Build outreach models and enablement programs for adoption at scale.
• Set strategy to make content machine-readable with metadata/taxonomy.
• Identify high-impact areas for automated workflows; pilot and scale.
• Guide analysts, data scientists, and engineers to ship measurable improvements.
• Lead discovery and market research to feed the roadmap.
• Engage stakeholders to gather feedback and validate features.
• Ensure risk, controls, compliance, and regulatory adherence; manage timelines and resources.

Skills

Product mgmt

Knowledge mgmt

AI systems

Unstructured data

Cross-functional

RAG architectures

Stakeholder mgmt

Governance

Taxonomy

Embeddings

Education

Bachelor's degree or equivalent

Master's degree preferred

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