Product Manager - Data Modernization Vice President

JPMorgan Chase & Co.•Columbus, OH

2h•$133,000 - $215,000

About The Position

Bring your product leadership skills to a team where your work directly protects customers and shapes the future of fraud detection and data modernization at scale. As a Product Manager Vice President in Trust & Security, you will support the Executive Director responsible for data modernization across our Trust & Security data ecosystem. You will help define, prioritize, and execute the product roadmap for a next-generation data platform on AWS, partnering across Product, Engineering, Architecture, Operations, Risk, and Controls to deliver scalable capabilities that strengthen fraud detection, decisioning, and customer protection.

Requirements

7 years of experience in product management, technology delivery, data platforms, fraud, risk, or financial services technology.
Advanced knowledge of the product development life cycle, including discovery, requirements definition, prioritization, delivery, launch readiness, value measurement, and continuous improvement.
Proven ability to translate customer, business, technical, and control needs into product requirements, measurable outcomes, and prioritized delivery plans.
Demonstrated experience influencing cross-functional teams and managing stakeholders across Product, Engineering, Architecture, Operations, Risk, Controls, and senior leadership.
Bachelor's degree in a relevant field.
Experience supporting modernization, migration, or platform transformation initiatives, including dependency management, readiness planning, and business continuity considerations.
Working knowledge of modern data platform concepts such as real-time streaming, cloud data platforms, data quality, lineage, governance, and product analytics.
Experience delivering or supporting capabilities for fraud detection, trust and safety, risk management, decisioning, or other high-volume, low-latency financial services use cases.
Strong understanding of controls, data governance, regulatory considerations, data quality, issue management, and risk-aware delivery practices.
Ability to operate with strong execution discipline, sound judgment, and attention to detail in a complex, fast-paced, matrixed environment.
Excellent written and verbal communication skills, including the ability to prepare clear, concise, executive-ready materials and recommendations.

Nice To Haves

Experience with cloud-based data modernization, platform product management, fraud technology, AI/ML enablement, or large-scale financial services transformation.
Advanced degree in a technical, business, data, or related field.

Responsibilities

Support the product strategy and roadmap for Trust & Security data modernization, translating executive priorities into actionable outcomes, delivery milestones, and adoption measures.
Lead assigned product workstreams through discovery, requirements definition, prioritization, delivery planning, launch readiness, and post-launch measurement.
Partner with Engineering, Architecture, Operations, Risk, and Controls to deliver modern data capabilities while managing dependencies, risks, readiness criteria, and migration considerations.
Use market, operational, stakeholder, and platform insights to identify opportunities for product improvement, reuse, simplification, and measurable business value.
Maintain product artifacts including roadmaps, business cases, requirements, success metrics, migration plans, executive updates, and decision materials.
Translate technical, operational, regulatory, and control requirements into clear product requirements and sequenced delivery plans that support safe adoption and scale.
Partner with current-state platform owners and operations teams to define readiness requirements, non-functional expectations, operational controls, and runbook maturity needed for controlled migration.
Coordinate delivery of next-generation platform capabilities that improve access to trusted, governed, real-time signals for fraud detection and decisioning use cases.
Support the definition of shared data contracts, data quality expectations, freshness targets, and governance standards in partnership with Engineering, Architecture, and data owners.
Monitor product health, adoption progress, delivery risks, consumer onboarding, migration readiness, and legacy dependency resolution, escalating recommendations and decisions to the Executive Director as needed.