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Senior Director, Global Fraud Analytics

Job in Lakewood, Jefferson County, Colorado, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below
  • Define and execute the global fraud analytics strategy.
  • Own the product strategy, roadmap, and lifecycle management for fraud analytics capabilities.
  • Lead and influence AI strategy for Global Fraud Solutions.
  • 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.
  • 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.
  • Operate with a high degree of ownership and autonomy in a matrixed organization.
  • Represent Trans Union in client discussions and industry forums related to fraud analytics and AI thought leadership.
Requirements
  • 10+ years of experience in analytics, technical product management, or data science, with at least 5 years in leadership roles.
  • 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.
  • 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.
  • Bachelor’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics) or equivalent experience; advanced degree preferred.
Hard Skills
  • fraud analytics
  • data science
  • technical product management
  • product strategy
  • roadmap development
  • AI strategy
  • scalable products
  • risk management
  • identity solutions
  • quantitative analysis
Soft Skills
  • leadership
  • collaboration
  • communication
  • ownership
  • autonomy
  • influence
  • client engagement
  • cross-cultural experience
  • strategic thinking
  • problem-solving
Certifications & Qualifications
  • Bachelor’s degree
  • advanced degree
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Position Requirements
10+ Years work experience
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