Vice President, Data Science Product Development - Marketing

Vice President, Data Science Product Development - Marketing

$ - $

Benefits: parental leave, paid time off, paid holidays, tuition reimbursement, flex time, 401(k)

Compliance with Trans Union’s privacy notice.

This role will act as a key leader of the Global Data Science & Analytics (GD&A) Product Development team. It requires data science expertise and resources necessary to build market‑leading data products and analytic solutions in support of Trans Union's Marketing roadmap. The role maintains a strong vision of the state‑of‑the‑art and competitive landscape, advises on the best way (the “how”) to achieve objectives defined by Global Solutions stakeholders (the “what”), incorporates innovation across GD&A and the broader enterprise into standards that enable consistent, high‑quality, scaled development, and partners with stakeholders across Global Technology, Data & Analytics (GTDA) and Solutions.

• 15+ years in data science and analytics
• 7+ years in progressively more challenging team management and leadership roles
• Master’s or PhD degree in statistics, applied mathematics, economics/finance, engineering, operations research, 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, C/C++, Java); experience with modern cloud computing platforms (AWS, GCP, One Tru); 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, measurement, segmentation, MTA, MMM, AdTech, Mar Tech, customer analytics, and transaction analytics.
• 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 Trans Union, 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.
  
  This may require making 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
  :
  Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels – including executives – within a complex and dynamic matrix organization. Knows the organization and can adapt to changes in business objectives or organizational structure flexibly. Strong verbal and written communication skills. Proven ability to translate technical concepts into articulate, actionable recommendations in a manner that is suitable to influence business partners and decision‑makers inside and outside toward desired outcomes.
  
  A champion of change, able to influence others to adopt new concepts and practices.

• Proactively analyze alternative data assets and AI methods for potential impacts to new and existing products, drafting business cases for Solutions review as warranted.
• Develop generalized, off‑the‑shelf scores, attributes, and other analytic solutions with alignment to the Marketing roadmap, supporting all stages of the product development lifecycle (PDLC) that are applicable to a variety of business processes, industries, and regions. Use cases include customer segmentation, customer lifetime value, churn prediction, recommender systems, leads scoring, and market response, among others.
• Design, develop, and continually…