Drive a strategic transformation of the Specialized Risk product portfolio through the innovative application of AI, including emerging agentic AI capabilities.
Key responsibilities include identifying high-impact AI opportunities, business case development, shaping priorities, and ensuring successful integration of AI—traditional, generative, and agentic—into existing and new products
Develop generalized, off-the-shelf scores, attributes, and other analytic solutions with alignment to the Specialized Risk roadmap, supporting all stages of the product development lifecycle (PDLC) that are applicable to a variety of business processes, industries, and regions.
Maintain and continually enhance global best practices for model development, including development and delivery of a training curriculum, leveraging new capabilities developed by R&D
As a GD&A leader, play a critical role in collaborating with Solutions and Product Marketing to turn your team's innovations and deliverables into compelling, value‑driven messaging for customers.
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)
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.
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.

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data scienceanalyticsAImachine learningstatistical inferencepredictive modelingPythonRSQLSpark

Soft Skills

team managementleadershipanalytical thinkingcritical thinkingcreative thinkingproblem-solvingproject managementtime managementinitiativecollaboration

Certifications

Master’s degreePhD