Manager II, Data Science and Analytics

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Team Overview

The Data Science and Analytics team drives advanced analytics and AI solutions to solve complex business problems and enable data-driven decision-making across the organization. This team plays a critical role in translating business strategy into scalable analytics solutions that generate measurable impact. The role operates within a cross-functional environment and partners closely with Product, Engineering, and business stakeholders. This is a remote position which may require occasional in-person attendance at work-related events at the discretion of management.

Role Overview And Core Responsibilities

• Translate business strategy into a prioritized data science roadmap aligned to measurable business outcomes.
• Lead end-to-end delivery of scalable analytics and machine learning (ML) solutions, from problem definition to deployment and monitoring.
• Manage and execute multiple concurrent initiatives, ensuring alignment across cross-functional stakeholders.
• Drive measurable business impact by defining success metrics, tracking ROI, and optimizing portfolio performance.
• Establish and enforce best practices across the analytics lifecycle, including quality, reproducibility, and automation standards.
• Provide strategic guidance and analytical leadership to senior stakeholders, influencing decision-making.
• Lead, coach, and develop high-performing data science teams, fostering an inclusive and results-driven culture.
• Drive alignment across Product, Engineering, and business teams, managing dependencies and competing priorities.
• Translate complex analytical outputs into clear, executive-ready insights and actionable recommendations.
• Scale and evolve data science capabilities, including tools, frameworks, and processes across the organization.

Required Knowledge And Experiences

• Strong background in data science, analytics, or quantitative fields, supported by a Bachelor’s degree with 10+ years of experience or a Master’s/PhD with 7+ years; ensures ability to deliver complex analytics solutions at scale.
• Proven experience managing teams and delivering large-scale analytics portfolios; critical to drive measurable business impact and organizational alignment.
• Deep understanding of statistical methods, predictive analytics, and machine learning frameworks; required to design and guide robust analytical solutions.
• Experience working in cross-functional or client-facing environments; essential to build trust and influence stakeholders across technical and business teams.
• Demonstrated ability to operate in complex, matrix organizations and make high-impact decisions under ambiguity; ensures effective prioritization and execution.

Required Technical Skills

• Proficiency in Python, R, and SQL for advanced analytics and data science development.
• Experience designing and deploying ML (Machine Learning) and AI solutions in production environments.
• Knowledge of MLOps (Machine Learning Operations) principles to ensure scalability and maintainability of solutions.
• Familiarity with big data ecosystems and cloud platforms such as AWS (Amazon Web Services), GCP (Google Cloud Platform), or Azure.
• Expertise in end-to-end analytics lifecycle management, including experimentation, validation, deployment, and monitoring.

We’re Also Looking For The Preferred Skills Below

• Experience in identity, fraud, security, or credit bureau data to accelerate impact in real-world use cases.
• Background in regulated industries such as financial services or insurance.
• Experience shaping global product or analytics roadmaps across multiple teams.
• Ability to influence long-term strategy across business, product, and engineering organizations.
• Exposure to large-scale, data-rich environments and enterprise analytics ecosystems.

TransUnion Overview

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.

TransUnion Job Title

Manager II, Data Science and Analytics