Product Manager, Data and Identity at Transunion

  • Company: Transunion
  • Location: Multiple Locations
  • Salary: $110K – $160K
  • Job type: full time
  • Workplace: hybrid
  • Posted: 2026-05-29

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Job description

TransUnion's Job Applicant Privacy Notice What We'll Bring: At TransUnion, we are dedicated to finding ways information can be used to help people make better and smarter decisions. As a trusted provider of global information solutions, our mission is to help people around the world access the opportunities that lead to a higher quality of life, by helping organizations optimize their risk-based decisions and enabling consumers to understand and manage their personal information. Because when people have access to more complete and multidimensional information, they can make more informed decisions and achieve great things. Every day TransUnion offers our employees the tools and resources they need to find ways information can be used in diverse ways. Whether it is helping businesses better manage risk, providing better insights so a consumer can qualify for their first mortgage or working with law enforcement to make neighborhoods safer, we are improving the quality of life for individuals, families, communities and local economies around the world. What You'll Bring: We are looking for product leaders who can operate in complex data-driven environments and drive improvement in foundational systems. 5-8+ years of product management experience with proven ability to define OKRs and KPIs, define roadmaps, prioritize work, write clear requirements and user stories, drive release readiness and acceptance criteria, and deliver outcomes in cross-functional teams. 5+ years of experience with data-intensive systems involving large datasets, data hygiene, standardization, identity resolution, and analytical processes; multi-region product development experience is a plus. Identity resolution experience is desirable (name, address, IP, device IDs, cookies, etc.). Demonstrated problem-solving and analytical skills, including diagnosing data and system issues, proactively identifying algorithm changes and data shifts, breaking down complex systems, and identifying practical improvements. Ability to work across technical and non-technical teams, translating between engineering, data science, and business stakeholders, and partnering with legal and compliance teams to ensure capabilities meet regulatory and contractual obligations. Ownership mindset in comfortably operating in ambiguous environments, setting direction, and driving results without clear precedents in a matrixed environment; hold cross-functional partners accountable through clear plans, operating cadence, and escalations when needed. Effective communication in clearly explaining complex topics, influencing decisions across stakeholders, and presenting to senior leaders. Experience with Agile delivery and tools such as Jira and Confluence. Nice to have familiarity with data matching, deduplication, or entity resolution concepts, and experience with regulated data environments. Impact You'll Make: We are hiring a Product Manager to lead our company’s core identity platform. You will own the critical capability of identifying individuals accurately and building consumer profiles over time. You are accountable for continuously improving the quality, performance, and business value of this data platform, with a focus on identity-related capabilities such as search, match, and profile management. This role has priority-setting authority for the platform, aligning to global standards and enterprise governance. You will operate at the intersection of data, technology, and product, working across teams to ensure this foundational capability evolves in line with business and customer needs. Where delivery capacity is shared, you will drive alignment on scope, sequencing, and release acceptance criteria, and escalate tradeoffs and risks through senior leadership and governing bodies. Own the roadmap and continuous improvement of identity capabilities by defining and prioritize end-to-end lifecycle enhancements on data quality, linkage accuracy, system performance, and downstream busin

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