Fraud Data, Signals and Risk Intelligence, Senior Director

Fiserv•Berkeley Heights, NJ

1d•$123,500 - $216,000•Onsite

About The Position

As Senior Director, Fraud Data, Signals & Risk Intelligence within Data Commerce Solutions, you will define and lead the strategy for the Fiserv Data Risk Hub, a data-first fraud intelligence platform that brings together risk signals from across Fiserv’s ecosystem: merchant acquiring, issuing, and banking. You will work across product, engineering, IT, data science, legal, compliance, and commercial teams to turn ecosystem-wide data into scalable fraud intelligence products. This role is critical to building differentiated data assets that improve client outcomes and support growth.

Requirements

12+ years of experience in fraud, risk, payments, data science, or financial services analytics.
Experience in technology, data science and fraud operations building fraud models, risk platforms, data products, or decisioning capabilities.
Understanding of payments, card fraud, merchant risk, banking fraud, and identity risk.
Executive presence and experience turning complex technical ideas into business value.
Bachelor’s Degree in data science, computer science, engineering, mathematics, statistics, finance, or a related field, or equivalent combination of education, related experience and/or military experience.

Nice To Haves

Experience with fraud and identity platforms, network intelligence, entity resolution, graph analytics, or machine learning model deployment.
Experience commercializing data products in payments, fintech, banking, or fraud technology environments.
Experience presenting product strategy, data concepts, and business cases to executive leaders, clients, or external partners.
Master’s degree in a related field or equivalent combination of education, related experience and/or military experience.

Responsibilities

Define the product and data strategy for the Data Risk Hub, including the roadmap, use cases, and commercialization approach for fraud and risk intelligence offerings, with a strong focus on the strategic advantage arising from comprehensive data.
Identify and prioritize high-value fraud, identity, payments, and behavioral risk signals across merchant acquiring, issuing, banking, and cross-ecosystem data sources.
Partner with IT, engineering, and data science teams to design, build, and activate scalable risk signals, decisioning inputs, scores, application programming interfaces (APIs), and insight products.
Translate complex fraud, data, and analytics concepts into clear business value propositions that support product strategy, client adoption, and revenue growth where data is the key component and technology is the delivery layer.
Collaborate with product, sales, legal, compliance, and other cross-functional teams to bring fraud intelligence capabilities to market in a way that aligns with business objectives and regulatory requirements.
Evaluate market opportunities, client needs, and competitive offerings to shape differentiated fraud intelligence solutions that leverage Fiserv data advantages.
Measure product performance through adoption, signal quality, revenue contribution, and client impact, and refine strategy based on measurable outcomes.