VP, Product

FIS•Jacksonville, FL

1d•$202,260 - $343,840

About The Position

FIS is a global financial technology company serving banks, financial institutions, and businesses. Its fraud and financial crimes capabilities help protect customer accounts and the financial system. FIS is investing in proprietary fraud signals, next-generation machine learning models, and AI-driven detection capabilities to build a differentiated fraud intelligence platform. The VP, Product owns product strategy and the end-to-end roadmap for FIS’s Enterprise Fraud & Financial Crimes portfolio. Reporting to the SVP of Fraud & Financial Crimes, this leader manages a senior product organization spanning multiple product lines and product manager teams. The role covers the broader fraud and financial crimes stack, with particular depth in transaction monitoring, and works closely with Data & AI, engineering, data science, compliance, operations, commercial teams, and clients. The position calls for a product leader who has built and shipped fraud products and can guide technically differentiated, enterprise-scale products. The VP connects product decisions to business and client results, including adoption, revenue growth, fraud detection effectiveness, false-positive reduction, and measurable client outcomes.

Requirements

Experience owning a product roadmap at a fraud technology company, fintech, financial institution, or payments company, with product as a core discipline; experience should include shipping fraud products.
Deep transaction monitoring expertise, including rules engines, behavioral signals, and machine-learning-based detection across cards and money movement.
Experience leading the product development of proprietary fraud detection models and signals, including defining relevant data and signals, partnering with data science to develop and productionize models, and establishing roadmaps, performance metrics, and feedback loops.
Broad understanding of end-customer authentication, identity, anti-money laundering, and financial crimes, and how these capabilities work together as an enterprise-grade platform.
Technical fluency to participate in architecture discussions, challenge technical tradeoffs, and drive roadmaps with engineering and data science; experience managing technical teams and holding them accountable for delivery.
Commercial and enterprise orientation, including understanding how product decisions affect revenue, adoption, and client value for large, complex enterprise clients.
Executive presence and credibility with client C-suite leaders and stakeholders across a large, matrixed organization.
For applicants receiving a conditional US employment offer, completion of a drug test is required.

Nice To Haves

Experience as a head of product or equivalent at a fraud technology company or fraud-focused fintech.
Experience leading fraud product at a financial institution or large payments company with direct product roadmap ownership.
Familiarity with integrated fraud and AML transaction monitoring platforms.
Experience building or scaling AI-, ML-, or rules-based fraud detection products.

Responsibilities

Own the end-to-end product roadmap for the Enterprise Fraud & Financial Crimes portfolio.
Set product strategy across the full fraud and financial crimes portfolio, extending beyond transaction monitoring.
Partner with Data & AI product leads to define and drive the roadmap for proprietary fraud models, signals, and intelligence capabilities.
Lead a senior product management organization across multiple product lines, providing ownership, strategic direction, and career development.
Drive enterprise architecture and product strategy so the platform can scale across financial institutions of different sizes and meet diverse client needs while maintaining a coherent long-term vision.
Engage directly with clients, from global banks to community institutions, to validate priorities, understand needs, and incorporate outside-in perspectives into the roadmap.
Align engineering, data science, compliance, operations, and commercial teams to deliver coordinated product outcomes.
Connect product decisions to client adoption, revenue growth, fraud detection effectiveness, false-positive reduction, and measurable client outcomes.