Product Analytics is building self-service tools and operating AI agents that influence product development; agents that monitor product health, surface anomalies, analyze user behavior, and produce the insights product leaders rely on. We are seeking an AI Engineering Lead to own that layer across a team of roughly 35 analysts supporting 60+ products. You will build the shared repositories, standards, context, and evaluation tooling our analysts depend on, and you will define what production means for the team's AI work.

This is an ongoing leadership role that evolves as the field does, reporting directly to the VP, Product Analytics. You will advocate for the data and tooling the team needs, push to get the right sources into the data lake, work with engineering and TR's central Data and Analytics team, and connect with AI leaders in other product groups so our work compounds with theirs. Within 12 months we expect agents owning whole analytics workstreams, and this role builds the foundation that gets us there.

Build and maintain the shared assets our analysts build on: the team's Git repositories, reusable components, context and data‑access standards, and a registry of what exists and who owns it. Build production AI agents yourself, frequently by picking up a tool another analyst prototyped and extending it into something more capable and broadly useful.

Own Evaluations and the Definition of Done: Define what production means for the team's AI work and own the evaluation standard that holds it there.

Close Pipeline Gaps: Find the breaks between collecting the right data and shipping the self‑service AI tooling product managers use to understand user behavior in our products. Diagnose where data, context, or infrastructure is missing, drive the work to close those gaps, and advocate to get the right sources into the data lake. Keep these changes cheap and fast to make so the standards speed builders up.

Propose, with conviction, which workstreams should move fully to AI first, and sequence them so early wins build credibility.

Governance and Compliance: Navigate TR's AI governance landscape on the team's behalf. Help analysts build to TR standards, support compliance where agents touch sensitive data and decisions, and keep governance workable so it does not block shipping. Represent the team in TR‑wide AI conversations, connect with AI leaders in other product groups, and keep the link to TR's AI transformation program active.

Manage the cross‑team dependencies the work runs on, including data lake access and platform infrastructure. Establish how the team watches its own agents once they run in production, so breakage and quality drift get caught early. Give every production tool a clear owner and a monitored definition of done.

You are a fit for the role of AI Engineering Lead if your background includes: Demonstrated personal investment in AI: you actively track developments, experiment with new tools, and build things on your own initiative. Roughly 2+ years of serious hands‑on building with modern AI tooling, with work you can point to. You are fluent across AI assistants, coding in an AI development environment, and the patterns of agent design, fluent enough to build production‑grade tools and the shared infrastructure other builders rely on.





Experience taking someone else's prototype and generalizing it into reusable infrastructure is a strong signal, and self‑directed projects count as much as anything done on the job.

A working knowledge of how to evaluate AI systems: defining success criteria, building evals, and using them to decide what is ready for production. Substantial experience building structure and programs that scale a capability across a whole team: standards, processes, cadences, and documentation. Strong eye for detail and the discipline to specify what success looks like before building and verify it continuously after.

The judgment to know when to push the team toward AI and when a workflow is not ready for it, and the credibility to articulate that vision to analysts and product leaders alike. 4+ years driving change across teams and with senior stakeholders, with a track record of getting people to adopt new ways of working. 5+ years in analytics or a closely related data discipline, with working command of a modern stack (e.g. Snowflake, SQL, Python, BI tools such as Power BI or Tableau, Streamlit) sufficient to lead technical work and judge tool quality. Awareness of AI governance and compliance considerations.

Project tracking and program coordination experience (e.g. Linear, Azure DevOps, SharePoint) is an asset.

Experience in or alongside product teams and SaaS experience are assets.

Hybrid Work Model: We’ve adopted a flexible hybrid working workplace (2-3 days a week in the office depending on the role) for our office‑based roles while delivering a seamless experience that is digitally and physically connected.

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Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work‑life balance.

Our Grow My

Way programming and skills‑first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI‑enabled future.

Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company‑wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Globally recognized, award‑winning reputation for inclusion and belonging, flexibility, work‑life balance, and more. Obsess over our Customers, Compete to Win, Challenge Your Thinking, Act Fast / Learn Fast, and Stronger Together.

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Make an impact in your community with our Social Impact Institute.

We offer employees two paid volunteer days off annually and opportunities to get involved with pro‑bono consulting projects and Environmental,



Social, and Governance (ESG) initiatives. We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt‑out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position.

For Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 CAD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.

This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

Thomson

Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.

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We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. com At Thomson Reuters, we’re not riding the AI wave — we’re reshaping the future of professional work across law, tax, compliance, and journalism. Learn more about a career with us Our Employer Story Inside Thomson Reuters Blog Awards and Recognition Join Our Talent Community Protect Your Job Search Future‑ready careers Our focus on a skills‑first approach ensures you’ll have the tools and knowledge to grow, lead, and thrive in an AI‑enabled future. #

📌 AI Engineering Lead, Product Analytics (Toronto)
🏢 CAN002 Thomson Reuters Canada
📍 Toronto