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Unstructured Data Management - Product, Executive Director

JP Morgan Chase & Co.

📍 New York, New York, US0💼 Full-time💰 150,000 – 200,000 USD/year🕐 5/23/2026
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Role overview

JP Morgan Chase & Co. is hiring for the Unstructured Data Management - Product, Executive Director role in New York, New York, US. It is full-time, Director level, in the Tech sector. The stated pay for this position is 150,000 – 200,000 USD/year. It was posted 5/23/2026.

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Role
Unstructured Data Management - Product, Executive Director
Company
JP Morgan Chase & Co.
Location
New York, New York, US
Work mode
On-site
Employment
Full-time
Seniority
Director
Sector
Tech
Salary
150,000 – 200,000 USD/year
Posted
5/23/2026

Description

JOB DESCRIPTION Embrace the challenge of adapting to shifting priorities and resources while contributing to a dynamic team and applying your expertise, strategic thinking skills, and operational excellence across product lines. As a Product Director in Consumer & Community Bank Data & Analytics Product team, you will drive the strategy and execution of enterprise capabilities thatingest, 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. Job responsibilities • Own the product vision, roadmap, and executionfor unstructured data capabilities, including content onboarding, metadata strategy, enrichment, indexing, retrieval, and downstream consumption (analytics, search, RAG, agents). • Lead unstructured data platform strategyacross 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) todefine requirements, prioritize use cases, and deliver product incrementsthat are measurable and adopted. • Oversee theintegration and releaseof unstructured data services into products and workflows, ensuring solutions arescalable, resilient, secure, and compliant(privacy, records, model risk, data governance). • Define and trackKPIs(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. • Establishresponsible AI and governance-by-designfor 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. Required qualifications, capabilities, and skills • 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 theunstructured data product lifecycle, including ingestion pipelines, content processing, metadata, governance, retrieval, and operational monitoring. • Hands-on familiarity withinformation retrieval and modern AI retrieval patterns, such asvector databases/embedding stores, hybrid search, RAG pipelines, evaluation, and agentic orchestration concepts. • Familiarity with technologies commonly used in unstructured data/search stacks • Basic expertise incloud computing and architecture(e.g., AWS) and designing secure, scalable services. Preferred qualifications, capabilities, and skills • 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

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