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What We'll Bring:
What we’ll bringWhat You'll Bring:
What you’ll bring
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 career development
- Foster an inclusive, innovative, and results-driven team culture
Collaboration & Stakeholder Management
- Drive alignment across cross-functional partners (Product, Engineering, Business), managing dependencies and competing priorities
- Influence decision-making across teams and levels without direct authority
Communication & Executive Influence
- Deliver clear, compelling, and executive-ready insights that shape strategy and drive decisions
- Translate complex analytical outputs into actionable recommendations for diverse audiences
Capability Building
- Define, scale, and evolve data science capabilities, including tools, frameworks, and best practices
- Drive adoption of standards that improve efficiency, consistency, and long-term sustainability
#LI-IT1
This is a remote position which may require occasional in-person attendance at work-related events at the discretion of management.TransUnion Job Title
Manager II, Data Science and AnalyticsBased on 1,377 disclosed Data & ML salaries on RoleSuite, the role pays a median of $165K/year, with most offers between $128K and $209K (10th–90th percentile: $106K–$250K).
See the full Data & ML salary breakdown →