Technical Product Owner supporting the Small Business Data Science team to enhance analytical solutions. Collaborating with stakeholders to align data science strategies with business goals.
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Hybrid Senior Director, Data Science Product Development – Fraud Solutions
Posted last month
About the role
- Lead the Global Data Science & Analytics Product Development team at TransUnion. Build data products and analytic solutions supporting TransUnion's Fraud roadmap.
Responsibilities
- Act as a key leader of the Global Data Science & Analytics (GD&A) Product Development team
- Requires data science expertise and resources necessary to build market-leading data products and analytic solutions in support of TransUnion’s Fraud roadmap
- Maintains a strong vision of the state-of-the-art and competitive landscape, advising on the best way to achieve objectives defined by Global Solutions stakeholders
- Incorporates innovation arising across GD&A and the broader enterprise into standards that enable consistent, high-quality, scaled development
- Partner and collaborate with stakeholders across Global Technology, Data & Analytics (GTDA) and Solutions
- Proactively analyze alternative data assets and AI methods for potential impacts to new and existing products
- Develop generalized, off-the-shelf scores, attributes, and other analytic solutions with alignment to the Fraud roadmap
- Design, develop, and continually improve common global frameworks to accelerate product development and facilitate consistent, efficient delivery through OneTru and other TransUnion platforms
- Maintain complete and accurate records of department activities to support resource optimization and all levels of reporting
- Attract and nurture leading data science talent, creating opportunities for continual professional growth
Requirements
- 10+ years in data science and analytics
- 5+ years in progressively more challenging team management and leadership roles
- Master’s or PhD degree in statistics, applied mathematics, quantitative economics/finance, engineering, operations research, physical sciences, computer science or another highly quantitative field strongly preferred
- Advanced programming skills and aptitude; mastery of statistical programs such as Python or R; mastery of other programming and data manipulation languages and big data platforms (SQL, Spark, C/C++, Java)
- experience with modern cloud computing platforms (AWS, GCP, OneTru)
- high level of familiarity with Microsoft Office tools
- Deep, hands-on expertise applying AI (ML, agentic, LLMs), statistical inference, and predictive modeling methods in a commercial setting including real-time modeling, adversarial modeling, financial crimes, and anomaly detection
- Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving
- Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing
- Ability to lead complex analytic projects under limited supervision and in close coordination with matrix partners
- Strong project and time management skills to lead multiple complex portfolios and work streams simultaneously with minimal if any direct supervision in a collaborative and fast-paced environment
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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