Optum is seeking a Senior Product Owner to lead a revenue-generating fraud detection and prevention capability. This role is pivotal in overseeing the entire product lifecycle, from strategy and design to development and end-of-life management. You will leverage deep expertise in fraud detection methodologies and the vendor landscape to drive innovation and maintain a competitive edge in fraud prevention.

This position offers a unique opportunity to impact millions by improving health outcomes through technology. Join a global organization committed to inclusion, professional growth, and making a difference in the communities we serve. Advance health optimization on a global scale and experience a culture of Caring, Connecting, and Growing together.

As a Senior Product Owner, you will own the complete strategy, roadmap, and lifecycle for fraud detection and prevention products. You will define the business value, capability vision, and long-term direction.

Key responsibilities include: - Maintaining market awareness of detection methodologies, investigation workflows, and the competitive landscape. - Establishing KPIs and making data-driven decisions for product evolution. - Collaborating with data science, engineering, risk, compliance, and operations teams to translate fraud typologies into product requirements. - Driving operational readiness for new models and ensuring cross-functional alignment. - Building enterprise relationships to accelerate adoption and ensure regulatory compliance. - Leading demos, stakeholder communications, and developing business cases for new capabilities. - Monitoring the external market for emerging schemes and regulatory changes to proactively adjust strategy. - Anticipating and mitigating fraud, compliance, and operational risks. - Analyzing performance data to identify gaps and drive improvements.

The ideal candidate possesses 7+ years of experience in product management, with a focus on risk/fraud products or financial technology. A demonstrated, hands-on understanding of fraud detection processes and applications, such as transaction monitoring, ML models, rules engines, and case management platforms, is essential.

Required qualifications include: - Solid knowledge of card payments, open-loop processing, and dispute/chargeback workflows related to fraud. - Working familiarity with the competitive landscape for fraud detection solutions. - Proven ability in deep strategic thinking and influencing stakeholders without direct authority. - The capacity to translate complex fraud data and detection methodologies into clear business cases and product requirements for cross-functional teams.

A Bachelor's degree is preferred, with a graduate degree or equivalent experience being an advantage.