Job Description
Are you passionate about transforming how legal professionals find trusted answers with AI? Join our Global Westlaw Engineering organization and help shape the future of AI-driven legal research.
Westlaw helps legal professionals around the world research, analyze, and act with confidence. We are building the next generation of fiduciary-level, AI-powered legal research and workflow capabilities, and we are changing how we build software.
As Director, you will lead a global organization of engineering managers, senior engineers, and vendor partners. You will own the multi-year AI engineering strategy and its alignment with the product delivery roadmap. You will move the organization to mission-based teams with clear ownership and accountability. You will also drive the shift to AI-assisted, agent-driven development and use engineering data to guide decisions and show results.
We want a technical leader with a track record of leading AI transformation, who leads by example, stays hands-on, keeps up with AI and engineering best practices, uses data to find what needs to change, and empowers teams to innovate across the organization.
Key Responsibilities
Lead
Lead a high-performing global organization. Set clear expectations, coach managers and engineers, and lead by example, using AI tools and engineering data in your own work.
Stay close to the technical work.



Work directly with senior engineers on architecture, technical direction, and hard problems to raise the technical bar across the organization.
Own Engineering strategy implementation and its alignment with the product delivery roadmap. Run it as a living plan with clear milestones and owners, adapt quickly as priorities evolve, and recommend measures that keep engineering objectives aligned to business strategy.
Lead the transformation to a mission-based operating model. Replace project-by-project handoffs with long-lived teams that own a product area, service, or customer outcome from design through production support. Define each team's mission, scope, decision rights, and the skills and authority it needs.
Set measures for each mission. Define measures such as reliability, quality, delivery speed, adoption, and cost. Review them regularly and use them to guide priorities, resourcing, and accountability.
Manage the vendor relationship. Help the vendor keep pace with business needs. Integrate vendor-managed teams into the organization, with explicit scope, outcomes, service levels, and governance. Hold them to the same standards as internal teams for architecture, quality, security, and delivery, and measure their performance with the same data. Make sure they document their work and

📌 Director, engineering, ai (Toronto)
🏢 Thomson Reuters
📍 Toronto