Product Manager, Data and Identity

TransUnion•Toronto, ON

1d•$110,000 - $160,000•Hybrid

About The Position

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.

Requirements

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 Haves

Familiarity with data matching, deduplication, or entity resolution concepts.
Experience with regulated data environments.

Responsibilities

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 business outcomes.
Drive measurable performance improvements by establishing and managing KPIs/OKRs and performance targets (e.g., algorithm quality and accuracy), and build proactive monitoring, alerting, and investigation routines.
Champion a structured backlog and iterative enhancement program, aligning stakeholders on trade-offs, driving execution, and defining release readiness and success criteria.
Lead cross-functional execution by working across teams to convert business needs into clear technical direction, requirements, and priorities, ensuring coordinated delivery in a complex, shared environment.
Establish a regular operating cadence to improve performance, resiliency, and responsiveness, including post-incident reviews and follow-through on corrective actions.
Operationalize the system for scale and reliability by building and maintaining documentation (capabilities, known behaviors, monitoring playbooks, controls, troubleshooting guides) to enable repeatable investigations, consistent stakeholder communications, and audit-ready traceability.
Represent the capability and drive alignment across the organization and the industries we serve.
Support client requests and ensure industry-wide adoption of standards and best practices.
Communicate effectively with stakeholders, including senior leadership.
Connect regional needs to global evolution by ensuring regional priorities and learnings are reflected in global product development by partnering with the Centre of Excellence, adopting shared standards, and contributing insights to enterprise-wide improvements.