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.
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.
Key Responsibilities:
- 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.
- Lead the transformation to a mission-based operating model.
- Set measures for each mission.
- Manage the vendor relationship.
- Decide what to do in-house, with partners, or through vendors.
- Communicate proactively.
Deliver:
- Deliver strategic projects with urgency.
- Drive the end-to-end AI lifecycle.
- Set the standard for operational excellence.
- Manage the project portfolio.
Operate: Run a Data-Driven, AI-Enabled Organization :
- Provide guardrails and empower teams to use AI.
- Make decisions with data.
- Track ownership and accountability.
- Measure the impact of AI.
- Own the economics of AI usage.
Innovate:
- Stay on top of the AI landscape.
- Try new approaches.
Required Qualifications:
- Education: A bachelor's degree in computer science, information technology, or a related field, or equivalent practical experience.
- Experience: 10+ years in software development, including 3+ years leading AI solution development, and 10+ years managing managers and building high-performing engineering teams in an agile environment.
- Organizational leadership: Experience leading managers, individual contributors, and vendor-managed teams.
- Strategy and execution: Experience turning a multi-year vision into programs, roadmaps, and measurable results.
- Shipping AI in production: A track record of shipping LLM-based applications.
- Cloud, DevOps, and reliability: Strong depth in cloud-native architecture on AWS.
- Hands-on AI tool use: Daily use of AI coding tools.
- Data-driven leadership and AI economics: Experience defining and analyzing metrics.
- Leading change: Experience shifting team mindsets.
- Communication: Excellent communication skills.
Preferred Qualifications:
- Experience leading globally distributed teams.
- Agentic systems and responsible AI.
- LLM APIs, search, and agent frameworks.
- Vendor and cost management.
- Career paths.
- Technical background.
- Domain background.
What's in it For You?:
- Hybrid Work Model.
- Flexibility & Work-Life Balance.
- Career Development and Growth.
- Industry Competitive Benefits.
- Culture.
- Social Impact.
- Making a Real-World Impact.