Senior Director of Global Analytics driving the future of fraud solutions and analytics for TransUnion. Collaborating across teams to enhance AI/ML models and ensure regulatory alignment.
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, 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)
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