Job Description

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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

What 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 Analytics