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About the role
- 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, with at least 5 years in a leadership role.
- 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)
- Mental health support
- Disability benefits
- Up to 12 weeks of paid parental leave
- Adoption assistance
- Fertility planning coverage
- Legal benefits
- Long-term care insurance
- Commuter benefits
- Tuition reimbursement
- Charity gift matching
- Employee stock purchase plan
- 401(k) retirement savings with employer match
- Access to TransUnion’s Employee Resource Groups
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