Wealth Management - KYC Data Product - Senior Associate

About the role

The KYC Data Product team builds and operates the foundational data capabilities that power client onboarding, regulatory compliance, and risk management decisions within JP Morgan's Wealth Management division.

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

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
• 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

Qualifications

• 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

Skills

• Strong requirements writing and backlog management skills with comfort working in agile delivery
• 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

Benefits

Comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

Pay

Base salary determined based on the role, experience, skill set and location. Commission-based pay and/or discretionary incentive compensation awarded in recognition of individual achievements and contributions.

Schedule

Not specified