
at J.P. Morgan
Bulge Bracket Investment BanksPosted 7 days ago
No clicks
**Senior KYC Data Product Manager - Wealth Management** Lead our Jersey City-based KYC Data Product team, driving end-to-end delivery of vital Know Your Customer data products. Manage backlog from ingestion to distribution, collaborating with tech and compliance stakeholders to enhance speed, quality, and clarity. Define API contracts, logical data models, batch distribution strategies, and KPIs. Inhibit 5+ years in data or tech delivery, with strong SQL, product management, and stakeholder engagement skills. Leverage AI-assisted SDLC tools for requirements, testing, and documentation. Experience in wealth management, KYC processes, and regulatory frameworks (AML, BSA, CDD) a plus.
- Compensation
- Not specified USD
- City
- Jersey City
- Country
- United States
Currency: $ (USD)
Full Job Description
Location: Jersey City, NJ, United States
Shaping the future of Wealth Management data, the KYC Data Product team builds and operates the foundational data capabilities that power client onboarding, regulatory compliance, and risk management decisions.
Job Summary
As a KYC Data Product Manager (Senior Associate) in JP Morgan's Wealth Management division, you will own end-to-end delivery of KYC data productsfrom API ingestion through persistence to distribution via batch and GraphQL. You will apply strong data modeling and analytics skills, leverage AI-assisted practices across the SDLC, and collaborate with engineering, compliance, and data stakeholders to improve speed, quality, and clarity of delivery in the KYC domain.
Job responsibilities
-
Own KYC data products end-to-end, managing backlog across ingestion, validation, persistence, transformations, and distribution
-
Write epics and user stories with clear acceptance criteria tied to consumer outcomes, regulatory requirements, and data quality
-
Define API contracts including payload structure, validations, idempotency expectations, error handling, versioning, and SLAs for KYC data flows
-
Lead producer onboarding, testing approach, cutovers, and migrations or deprecations for KYC data sources
-
Review and contribute to logical data models for KYC entities, ensuring attributes, relationships, and cardinalities support downstream compliance and distribution needs
-
Define batch distribution scope, selection logic, file formats, schedules, delivery mechanisms, retention, reconciliation, reruns, backfills, and SLAs for KYC data consumers
-
Partner on GraphQL schema evolution, filtering, pagination, performance guardrails, error semantics, and deprecation or versioning for KYC queries
-
Profile KYC data, quantify issues such as missingness, duplicates, and anomalies, and validate fixes using analytics and data science techniques
-
Define and track KPIs to inform prioritization and measure KYC product health
-
Use AI tools to accelerate SDLC activities including drafting stories, creating test scenarios, summarizing requirements, generating documentation, and supporting analysis workflows with appropriate human review
-
Ensure requirements address PII handling, entitlements, access controls, retention, and auditability across KYC ingestion and distribution
Required qualifications, capabilities, and skills
-
5+ years of experience as a Product Owner, Business Analyst, or Product Manager in data or technology delivery
-
Strong requirements writing and backlog management skills with comfort working in agile delivery
-
Ability to read logical data models and create conceptual data models with clear entities, relationships, and shared definitions
-
Strong SQL and data reasoning skills with ability to validate data issues and fixes
-
Familiarity with batch distribution patterns and GraphQL fundamentals including schema, queries, pagination, and filtering
-
Demonstrated ability to use AI-assisted tools as part of SDLC for requirements, testing, documentation, and analysis support with appropriate validation and controls mindset
-
Strong collaboration and relationship-building skills with compliance, business, technical, and data stakeholders
Preferred qualifications, capabilities, and skills
-
KYC domain experience including client identification, verification, due diligence, risk rating, and periodic review processes
-
Entity resolution and matching concepts knowledge
-
Experience defining data quality monitoring and operational SLAs and SLOs
-
Familiarity with regulatory frameworks such as AML, BSA, and CDD requirements
-
Experience in wealth management or related financial services
-
Ability to prepare and present information to management and cross-functional teams
-
Analytical mindset with the ability to break down and solve complex problems
Lead KYC data product delivery, ensuring quality, compliance, and integration across Wealth Management platforms and systems.



