Wealth Management - KYC Data Product - Senior Associate

JPMorgan Chase & Co.•Jersey City, NJ

3h•$99,750 - $150,000

About The Position

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. 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 products—from 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.

Requirements

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

Nice To Haves

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

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