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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 AnalyticsSkills Required
- Bachelor's degree in a quantitative field with 10+ years, or Master's/PhD with 7+ years in data science or analytics
- Proven track record managing teams and delivering complex, large-scale analytics or data science portfolios
- Ability to make high-impact decisions under ambiguity and communicate rationale to diverse stakeholders
- Experience leading multiple concurrent initiatives and driving execution across cross-functional teams
- Strong client-facing and cross-functional collaboration experience
- Strong proficiency in Python, R, and SQL
- Proven experience designing and deploying machine learning and AI solutions in production
- Deep understanding of statistical methods, feature engineering, and MLOps principles
- Experience applying predictive analytics, machine learning, and optimization techniques
- Expertise in end-to-end analytics lifecycle delivery (problem framing to monitoring)
- Working knowledge of big data ecosystems and cloud platforms (AWS, GCP, or Azure)
- Ability to provide strategic analytical guidance to senior stakeholders
- Proven ability to lead complex, multi-team programs and analytics portfolios
- Ability to translate business strategy into prioritized analytics roadmaps
- People leadership experience including hiring, developing, and coaching data science teams
- Strong business acumen and ability to operate in complex matrix organizations
- Excellent communication and influencing skills for technical and non-technical audiences
- Ability to define success metrics, ensure delivery, and drive measurable business impact
- Provide organizational leadership and define analytical vision
- Deep expertise in identity, fraud, security, or credit bureau data and solutions
- Experience shaping and influencing multi-year, global product roadmaps
- Industry experience in financial services, insurance, digital marketing, or other regulated data-rich domains
What the Team is Saying
TransUnion Compensation & Benefits Highlights
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Parental & Family Support — Paid, gender‑neutral parental leave with a gradual return is highlighted alongside adoption/surrogacy/infertility support and backup care through Care@Work. Dependent‑care FSA options and caregiver assistance further bolster family support.
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Healthcare Strength — Day‑one medical, dental, and vision coverage is offered with HSA/FSA options, EAP/therapy sessions, 24/7 support, and wellness programming. Coverage extends to dependents and includes mental‑health resources.
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Retirement Support — A 401(k) plan features no waiting period, an employer match, and immediate 100% vesting. Employees can also participate in an Employee Stock Purchase Plan to build long‑term financial security.
TransUnion Insights
What We Do
TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace. We do this by having an accurate and comprehensive picture of each person. This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world. Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve. We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.
Why Work With Us
Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.
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TransUnion Teams
TransUnion Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
