Manager II, Data Science and Analytics

Requirements

• Experience & Education
• Bachelor's degree in a quantitative field with 10+ years of relevant experience, or a Master's/PhD with 7+ years of experience in data science, analytics, or a related domain
• Proven track record of managing teams and delivering complex, large-scale analytics or data science portfolios, driving measurable business impact
• Demonstrated ability to make high-impact decisions under ambiguity, taking ownership of outcomes and effectively communicating rationale and trade-offs to diverse stakeholder groups, including senior leadership
• Experience leading multiple concurrent initiatives, aligning priorities, and driving execution across cross-functional teams in dynamic environments
• Strong experience in client-facing and/or cross-functional settings, with the ability to build trust and influence stakeholders across technical and business domains
• Technical & Analytical Skills
• Strong proficiency in Python, R and SQL, with the ability to guide teams in best practices for scalable data science development
• Proven experience leading the design and deployment of machine learning and AI solutions in production environments
• Deep understanding of statistical methods, feature engineering, and MLOps principles; able to ensure robust, scalable, and maintainable solutions through team execution
• Demonstrated success applying predictive analytics, machine learning, and optimization techniques to solve complex business problems
• Expertise in end-to-end analytics lifecycle delivery, from problem framing and experimentation to deployment and monitoring
• Working knowledge of big data ecosystems and cloud platforms (AWS, GCP, or Azure), with the ability to make architectural and tooling decisions
• Strong ability to provide strategic and authoritative analytical guidance to senior stakeholders, influencing decisions across all phases of development (design, validation, implementation, and monitoring)
• Leadership & Business Skills
• Proven ability to lead complex, multi-team programs and analytics portfolios, driving alignment and execution across cross-functional stakeholders
• Translate business strategy into clear, prioritized analytics and data science roadmaps, balancing impact, feasibility, and scalability
• Strong people leadership experience, including hiring, developing, and coaching high-performing data science teams
• Exceptional business acumen with the ability to operate effectively in complex, dynamic matrix organizations; adapts quickly to evolving priorities and organizational changes
• Excellent communication and influencing skills, with a proven ability to translate complex technical concepts into clear, actionable insights for executive and non-technical audiences, driving decision-making and business outcomes
• Demonstrated ability to own outcomes by defining success metrics, ensuring delivery, and driving measurable business impact through data science solutions
• Provide organizational leadership and analytical vision, shaping how data science drives product and business strategy at scale
• What we'd prefer to see
• Deep expertise in identity, fraud, security, or credit bureau data and solutions, with the ability to apply this knowledge to real-world product and analytics challenges
• Extensive experience shaping and influencing multi-year, global product roadmaps, driving alignment across business, product, and engineering organizations
• Industry experience in domains such as financial services, insurance, digital marketing, or other data-rich, regulated environments served by TransUnion
• Impact You'll Make:
• Impact you'll make
• Strategic Leadership & Business Impact
• Translate business strategy into a clear, prioritized data science roadmap aligned to measurable outcomes
• Own, track, and continuously optimize portfolio impact, including ROI and business value realization
• Delivery Excellence & Innovation
• Lead the end-to-end delivery of scalable, production-grade analytics and data science solutions
• Establish and enforce high standards for quality, reproducibility, and automation across the analytics lifecycle
• People Leadership & Team Health
• Build, lead, and develop high-performing data science teams through coaching, mentoring, and thoughtful

Benefits

Additional Information

TransUnion's Job Applicant Privacy Notice What We'll Bring: What we'll bring - Work from home, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars. - A collaborative, innovation-driven environment where teams solve complex business problems using advanced analytics and AI - Opportunities to lead multi-team initiatives with organization-wide impact and shape strategic direction - A modern data ecosystem leveraging cloud platforms, big data technologies, and scalable ML solutions - Investment in leadership growth and continuous learning - A culture focused on mentorship, inclusion, and building high-performing teams

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