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As of Jul 6, 2026, the average hourly pay for associate rbc wealth management in the United States is $19.01, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $20.19 per hour, depending on experience, location, and employer.
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Wealth Management - KYC Data Product - Senior Associate

Wealth Management - KYC Data Product - Senior Associate

Chase

Delaware, OH • On-site

Other

Posted 9 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

54th of 144 rated banks


Job description

KYC Data Product Manager (Senior Associate)

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 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.

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

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