Senior Director of Global Fraud Analytics leading a high-impact team at TransUnion. Driving innovation in fraud detection and prevention through AI/ML models and analytics.
Responsibilities
Define and execute the global analytics strategy for fraud solutions, aligning with GFS’ and TransUnion’s broader business objectives
Lead the roadmap and lifecycle management of fraud analytics products, including generic and custom AI/ML models across the TU fraud product portfolio
Drive innovation in fraud detection and prevention through advanced analytics, machine learning, and data science
Oversee the development and enhancement of fraud analytics products, ensuring scalability, performance, and compliance
Collaborate with global product, data science, and engineering teams to translate market needs into actionable product features
Manage product lifecycle from ideation to launch, including go-to-market strategy, pricing, and customer engagement
Lead and mentor a team of product managers, fostering a culture of innovation, accountability, and continuous improvement
Set clear goals, provide regular feedback, and support career development for team members
Partner with global fraud strategy, sales, and customer success teams to ensure analytics solutions meet client needs and drive revenue
Work closely with legal, compliance, and risk teams to ensure adherence to regulatory standards and data governance policies
Monitor and report on product performance, adoption, and ROI
Use data-driven insights to refine strategy and improve product outcomes
Represent TransUnion in industry forums, client meetings, and thought leadership initiatives related to fraud analytics
Requirements
10+ years of experience in analytics, data science, or product management
Proven experience in fraud analytics, risk management, or identity solutions within financial services, fintech, or related industries
Strong understanding of AI/ML model development, deployment, and governance
Demonstrated success in managing global product portfolios and cross-functional teams
Excellent communication and stakeholder management skills, with the ability to influence at all levels
Experience working in a matrixed, global organization with diverse teams and markets
Familiarity with regulatory environments (e.g., GDPR, CCPA, FCRA) and data privacy standards
Bachelor’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics); Master’s or PhD preferred
Benefits
Flexible time off for exempt associates
Paid time off for non-exempt associates
Up to 12 paid holidays per year
Health benefits (including medical, dental, and vision plan options and health spending accounts)
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