Senior Director, Data Science Product Development, Specialized Risk

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What We'll Bring:

At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.

Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.

This role serves as a key leader within the Global Data Science & Analytics (GD&A) Product Development team. The position requires deep data science expertise and will drive the development of market‑leading data products and analytic solutions aligned to TransUnion’s Specialized Risk roadmap.

The leader in this role will maintain a strong understanding of state‑of‑the‑art methodologies and the competitive landscape—advising on the best technical approaches (“how”) to achieve the strategic objectives defined by Global Solutions stakeholders (“what”). They will translate innovation from across GD&A and the broader enterprise into scalable standards that support consistent, high‑quality product development.

This role will collaborate closely with stakeholders across Global Technology, Data & Analytics (GTDA) and Solutions, fostering strong partnerships to accelerate delivery and ensure alignment on priorities.

What You'll Bring:

• 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.

• Technical Skills: 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); experience with modern cloud computing platforms (GCP, AWS, OneTru); 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, and anomaly detection; high level of familiarity with Microsoft Office tools.

• Functional Skills: 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, communications, insurance, fraud, and digital marketing. Prior experience working with public record data sets for investigative, including collections, law enforcement, insurance SIU, etc. would be preferred. 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. This may require the need to make impactful project decisions and recommendations, taking ownership for actions and providing a robust framework for justifying, defending, and documenting such actions across multiple stakeholder levels. Additionally, the role may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows.

• Behavioral Competencies: Demonstrates strong business acumen and versatile interpersonal skills, with the ability to communicate effectively across all levels of a complex, dynamic matrix organization. Understands the organization and adapts flexibly to changes in business objectives or structure. Exhibits strong verbal and written communication skills, with a proven ability to translate technical concepts into clear, actionable recommendations that influence stakeholders and decision‑makers. Actively supports and drives change, encouraging adoption of new concepts and practices. Serves as a reliable partner and effective problem‑solver with a demonstrated ability to navigate and overcome challenges.