Senior Director, Global Fraud Analytics

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Team Overview

Global Fraud Solutions (GFS) at TransUnion is responsible for developing and delivering analytics driven products that help clients prevent, detect, and respond to fraud across the customer lifecycle. The Fraud Analytics pillar plays a critical role in shaping TransUnion’s global fraud vision by unlocking competitive advantage through data, AI, and advanced analytics. This role reports to the VP of Global Fraud Strategy and partners closely with regional fraud leaders, product, platform, data science, and engineering teams worldwide. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview and Core Responsibilities

• Define and execute the global fraud analytics strategy, aligning product direction with GFS priorities, TransUnion business objectives, and customer needs across regions.
• Own the product strategy, roadmap, and lifecycle management for fraud analytics capabilities, including generic and custom AI/ML (Artificial Intelligence / Machine Learning) models across the fraud portfolio.
• Lead and influence AI strategy for Global Fraud Solutions, balancing innovation, model performance, governance, scalability, and regulatory compliance.
• Partner with data science and engineering teams to translate analytics capabilities into production‑ready, scalable products.
• Drive the global expansion of fraud analytics by adapting and scaling models across geographies while navigating data availability, regulatory, and market constraints.
• Collaborate with regional fraud leaders, sales, customer success, and global market teams to ensure analytics solutions meet client needs and support revenue growth.
• Monitor and evaluate product performance, adoption, and ROI, using data‑driven insights to refine strategy and improve outcomes.
• Operate with a high degree of ownership and autonomy in a matrixed organization, with regular visibility and influence at senior and executive leadership levels.
• Represent TransUnion in client discussions and industry forums related to fraud analytics and AI thought leadership.

Required Knowledge and Experiences

• 10+ years of experience in analytics, technical product management, or data science, with at least 5 years in leadership roles, to effectively guide complex, global analytics initiatives.
• Demonstrated success in product strategy and business ownership, including setting vision, defining roadmaps, and driving measurable outcomes.
• Strong technical acumen with the ability to “speak the language” of data science and engineering, enabling effective partnership without requiring hands‑on model development.
• Experience in fraud analytics, risk management, identity solutions, or adjacent domains within financial services, fintech, or data‑driven technology environments.
• Global or international experience working across regions and cultures in matrixed organizations, supporting cross‑functional alignment and execution.
• Bachelor’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics) or equivalent experience; advanced degree preferred.

Required Technical Skills

• Working knowledge of AI/ML (Artificial Intelligence / Machine Learning) models, analytics pipelines, and model governance concepts.
• Experience collaborating on analytics‑driven products built on cloud‑based data and analytics platforms.
• Strong analytical and data‑driven decision‑making skills to assess product performance, risk, and business impact.

 

We’re also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we’re happy to support your career development and growth in:

• Direct experience with fraud typologies, identity verification, transaction monitoring, and emerging fraud trends.
• Experience scaling analytics products or models globally across multiple markets.
• Familiarity with regulatory and data privacy frameworks such as GDPR, CCPA, or FCRA and their im