Product Manager - Data Modernization Vice President
Listed on 2026-09-21
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Business
AI Business & Operations, Change Management -
IT/Tech
AI Business & Operations, Change Management
Job Description
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.
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.
Job 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 work streams 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.
- 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.
- Experience with cloud-based data modernization, platform product management, fraud technology, AI/ML enablement, or large-scale…
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