Fraud Solutions Manager

Visa
San Francisco, CAPosted 24 April 2026

Tech Stack

Job Description

The Fraud Solutions Manager is a fraud and product subject matter expert within the Acceptance Risk & Security Solutions team in North America. This role is responsible for clearly articulating how Visa’s merchant and acquiring‑facing Risk & Security Solutions, along with key partner offerings, address complex client fraud and security needs. This role collaborates cross‑functionally to intake and triage client requirements, support roadmap alignment, deliver real‑time market insights to strengthen go‑to‑market execution. The position requires strong client‑facing communication skills and the ability to translate technical fraud and security capabilities into clear value narratives. Develop segment‑specific go‑to‑market strategies, including tailored positioning, use‑case narratives, and industry playbooks, while providing ongoing field support to drive product adoption and revenue. Build data‑driven business cases by assessing market opportunities, financial impact, and resource/technical needs to inform product recommendations and investment prioritization. Support sales in fraud‑discovery and solutioning conversations by identifying client pain points, offering fraud‑domain expertise, and advising on targeted mitigation strategies. Partner with customer‑facing teams to lead product‑solutioning efforts, ensuring a smooth product experience and driving enhancements that improve satisfaction and adoption. Actively monitor and maintain an understanding of fraud pattern trends across various sectors and apply key insights to client engagements and the regional portfolio strategy. Develop and maintain expertise in internal and external fraud‑prevention tools including AI/ML models, rules engines, device intelligence, and authentication solutions and understand how they are deployed across markets to improve decisioning accuracy. Source and synthesize data from disparate systems, validating inputs and transforming them into actionable insights that support product strategy and operational decision‑making. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Basic Qualifications: 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Demonstrated subject‑matter expertise in fraud patterns and emerging attack vectors (e.g., ATO, APP, synthetic identity, CNP fraud) and experience engaging directly with clients to support discovery, solutioning, and recommendation discussions. Experience working as an individual contributor driving outcomes across multiple cross‑functional teams (e.g., Product, Sales, Strategy, Data Science, Engineering). Proven ability to translate technical fraud and risk capabilities into clear value narratives for both internal and external audiences. Strong analytical skills with experience analyzing data from disparate systems to inform product and market decisions. Demonstrated ability to develop business cases, evaluate market opportunities, and influence product roadmap decisions with data‑driven rationale. Excellent communication skills with the ability to simplify complex concepts for executive, technical, and commercial stakeholders. Strong organizational and prioritization skills; comfortable operating in a fast‑paced, matrixed environment. 7+ years of experience specifically within payments, merchant acquiring, or fraud/risk vendor ecosystems. Background working with or evaluating fraud‑prevention technologies such as AI/ML‑based detection platforms, rules engines, device intelligence, behavioral biometrics, or authentication providers. Experience building vertical‑specific ... (truncated, view full listing at source)
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