Unstructured Data Management - Product, Executive Director

JPMorgan Chase & Co.•New York, NY

1d•$152,000 - $285,000

About The Position

As a Product Director in Consumer & Community Bank Data & Analytics Product team, you will drive the strategy and execution of enterprise capabilities that ingest, govern, enrich, index, retrieve, and activate unstructured content (e.g., documents, emails, chats, PDFs, transcripts, images, audio) using modern techniques. You will partner closely with engineering, data science, design, risk/compliance, and business stakeholders to deliver scalable, secure, and compliant solutions across the full product development life cycle. As a leader on the team, you challenge traditional approaches, remove barriers to success, and foster a culture of continuous innovation that inspires cross-functional teams to create solutions that address customer needs. The Data & Analytics Product team is responsible for providing the core technical capabilities and strategies for data producers, consumers, and governors to leverage data.

Requirements

8+ years of experience or equivalent expertise delivering products, projects, or technology applications
Extensive knowledge of the product development life cycle, technical design, and data analytics
Proven ability to influence the adoption of key product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
Experience driving change within organizations and managing stakeholders across multiple functions
Strong collaboration and influencing skills across product, engineering, data science, design, and senior stakeholders.
Deep understanding of the unstructured data product lifecycle, including ingestion pipelines, content processing, metadata, governance, retrieval, and operational monitoring.
Hands-on familiarity with information retrieval and modern AI retrieval patterns, such as vector databases/embedding stores, hybrid search, RAG pipelines, evaluation, and agentic orchestration concepts.
Familiarity with technologies commonly used in unstructured data/search stacks
Basic expertise in cloud computing and architecture (e.g., AWS) and designing secure, scalable services.

Nice To Haves

Recognized thought leader within a related field
Proven ability to lead and influence across complex, matrix organizations, fostering collaboration and building confidence with peers
Strong leadership and team management experience, including leading cross-functional teams
Experience in developing and implementing product strategies that align with business goals
Excellent verbal and written communication skills, with the ability to communicate effectively with stakeholders at all levels

Responsibilities

Own the product vision, roadmap, and execution for unstructured data capabilities, including content onboarding, metadata strategy, enrichment, indexing, retrieval, and downstream consumption (analytics, search, RAG, agents).
Lead unstructured data platform strategy across the lifecycle: acquisition/ingestion, classification, extraction, normalization, entity resolution, taxonomy/ontology alignment, metadata management, and retention/disposition.
Partner with internal stakeholders (business leaders, data scientists, engineers, designers, operations, and control functions) to define requirements, prioritize use cases, and deliver product increments that are measurable and adopted.
Oversee the integration and release of unstructured data services into products and workflows, ensuring solutions are scalable, resilient, secure, and compliant (privacy, records, model risk, data governance).
Define and track KPIs (e.g., content coverage, freshness/latency, retrieval relevance, grounding/answer quality, user adoption, cost-to-serve, operational health) and use insights to drive continuous improvement.
Establish responsible AI and governance-by-design for unstructured data activation (PII handling, access controls, auditability, explainability/traceability, evaluation, and human-in-the-loop controls).
Coach and mentor the product team on best practices (discovery, story mapping, prototyping, experimentation, adoption strategies, and delivery), enabling consistent execution against objectives.