VP, Risk Data Product Delivery & Strategy

JPMorgan Chase & Co.

Wilmington (DE)

On-site

USD 150,000 - 230,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in Wilmington, Delaware seeks a VP Product Delivery Manager for Risk Third Party Services to lead end-to-end delivery of risk data products integrated into an enterprise data service across credit criteria, models, and analytics.

You will coordinate with Product, Design, Engineering, Testing, and Risk/Legal/Controls to translate business needs into executable scope, manage requirements, and enable high-quality delivery with continuous improvement practices, including

Qualifications

Minimum 5+ years of experience in Business Analysis, Project Management, or Product Management on financial services initiatives.
Minimum 3+ years of SQL data querying/quality roles.
Experience delivering multiple concurrent initiatives with meaningful operational/financial impact.
Translate business requirements into technical scope, user stories, acceptance criteria, and UAT artifacts.
Strong Agile product delivery experience (3+ years) with backlog/refinement discipline.
Exposure to data management and data quality practices and audit-ready documentation.

Responsibilities

Lead multiple mid-to-large initiatives end-to-end through the Product Delivery Lifecycle (PDLC).
Partner with Product Owners/Managers, Design, and business stakeholders to elicit needs, define features, and clarify success measures.
Translate business and design requirements into detailed, technically executable scope and UAT-ready acceptance criteria.
Refine epics and stories to support Engineering and Testing teams while preserving business intent.
Coordinate cross-functional resources and delivery ceremonies to manage risks and blockers.
Document features, processes, and system behaviors to support implementation and auditability.
Perform data querying and exploratory analysis to validate hypotheses and inform decisions.
Assess capabilities and data assets to identify reuse opportunities and incremental enhancements.
Ensure features align with legal, controls, and risk requirements including data quality.
Monitor delivery progress and escalate issues with options and recommendations.
Apply Generative AI to improve requirements workflows and delivery efficiency.