AI Engineering Lead, Product Analytics
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
About the Role
Thomson Reuters seeks an AI Engineering Lead to own the shared AI infrastructure for a team of 35 analysts supporting 60+ products. You will build repositories, standards, evaluation tooling, and production agents.
Key Skills for This Role
Responsibilities
- Own the Shared Infrastructure: Build and maintain the team's Git repositories, reusable components, context and data access standards, and a registry of what exists and who owns it.
- Build Agents: 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.
- Set the Build Standards: Own how the team creates and manages its build artifacts: repository conventions, context files, documentation that makes agents reliable.
- Make Builders Better: Bring analysts along by teaching the infrastructure they use.
- Governance and Compliance: Navigate TR's AI governance landscape on the team's behalf.
- Scale Adoption Across the Team: Make the team's tools findable and usable by someone who has no direct relationship with whoever built them.
- Interface Outward: Represent the team in TR wide AI conversations, connect with AI leaders in other product groups.
- Keep Production Agents Healthy: Establish how the team watches its own agents once they run in production.
Requirements
- Demonstrated personal investment in AI: actively track developments, experiment with new tools, and build things on own initiative.
- Roughly 2+ years of serious hands on building with modern AI tooling, with work you can point to.
- 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.
- 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).
- Awareness of AI governance and compliance considerations.
Full Job Posting
Summary
- Product Analytics is building self service tools and operating AI agents that influence product development.
- We are seeking an AI Engineering Lead to own that layer across a team of roughly 35 analysts supporting 60+ products.
About The Role
- Own the Shared Infrastructure: 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 Agents: 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.
- Set the Build Standards: Own how the team creates and manages its build artifacts: repository conventions, context files, documentation that makes agents reliable.
- Make Builders Better: Bring analysts along by teaching the infrastructure they use.
- Governance and Compliance: Navigate TR's AI governance landscape on the team's behalf.
- Scale Adoption Across the Team: Make the team's tools findable and usable by someone who has no direct relationship with whoever built them.
- Interface Outward: Represent the team in TR wide AI conversations, connect with AI leaders in other product groups.
- Keep Production Agents Healthy: Establish how the team watches its own agents once they run in production, so breakage and quality drift get caught early.
About You
- 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.
- 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.
- 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.
Compensation
- For Ontario, Canada, the base compensation range for this role is CAD 140,000 CAD 175,000.
- 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.
- This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
Hybrid Work Model
- We’ve adopted a flexible hybrid working environment (2 3 days a week in the office depending on the role) for our office based roles.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Thomson Reuters
Vice President, Product Transformation
Toronto, CAN
Thomson Reuters seeks a Vice President, Product Transformation to define and drive the AI-era operating model for their 400+ PM organization. This hands-on, builder-operator role requires technical fluency with AI tools
Client Technology Partner
Dubai, UAE
Thomson Reuters is seeking a Client Technology Partner to lead professional and consulting services for strategic clients. This leadership role requires 15+ years of experience in enterprise account management or consult
Client Technology Partner
Dubai, UAE
Thomson Reuters is seeking a Client Technology Partner to lead professional and consulting services for strategic clients. You will serve as a trusted technology advisor, drive commercial growth, and ensure high-quality
Product Manager - FDE
Toronto, CAN
Thomson Reuters seeks a Product Manager for the CoCounsel Legal Forward Deployed Engineering team. The role involves customer engagement, backlog management, and productizing bespoke AI solutions for legal workflows. Req
Strategic Account Manager, Legal
Riyadh, UAE
The role involves driving revenue growth through strategic account management, selling legal tech solutions, and building relationships with key decision makers.
AI Product Security Manager
Toronto, CAN
Thomson Reuters is looking for an AI Product Security Manager to lead the Product Security Core team. You will own the Secure Software Development Lifecycle, including threat modeling, security testing, and software supp
Senior Product Manager
Toronto, CAN
Thomson Reuters seeks a Senior Product Manager to lead the strategy, roadmap, and delivery of Revenue Technology capabilities on Salesforce and related platforms. The role partners with business leaders, Revenue Operatio
Strategic Account Manager, Legal
Dubai, UAE
Thomson Reuters is hiring a Strategic Account Manager for Legal solutions in the MENA region, based in Dubai. The role focuses on growing revenue and market share of legal content, tech, and AI solutions within strategic
Vice President, Product Transformation
Toronto, CAN
Client Technology Partner
Dubai, UAE
Client Technology Partner
Dubai, UAE
Product Manager - FDE
Toronto, CAN
Strategic Account Manager, Legal
Riyadh, UAE
AI Product Security Manager
Toronto, CAN
Senior Product Manager
Toronto, CAN
Strategic Account Manager, Legal
Dubai, UAE