Data & Analytics Lead at AstraZeneca driving data - driven solutions in clinical product development. Leading teams and collaborating with stakeholders across global platforms.
TR
Hybrid Senior Director, Data Science Product Development – Specialized Risk
Posted 51 minutes ago
About the role
- Senior Director driving product development in data science for TransUnion. Leading initiatives in AI and analytics for the Specialized Risk portfolio.
Responsibilities
- 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
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