Project Manager, PMO - AI
Simpson Thacher & Bartlett
- Location
- New York, NY
- Work model
- On-Site
- Level
- Mid
- Posted
- Aug 8, 2026
Skills
About this role
Simpson Thacher & Bartlett LLP is one of the world’s leading international law firms. With offices across the globe, the firm provides coordinated legal advice and transactional capability to a remarkable roster of clients—including many of the world’s largest corporations, financial institutions, and private equity firms. For more than 130 years, Simpson Thacher has built a reputation for superior performance, intellectual rigor, and an unwavering commitment to excellence. We are committed to leveraging cutting-edge technology, including artificial intelligence, to enhance our legal services and drive innovation across all practice areas. As part of our ongoing digital transformation strategy, we are seeking exceptional talent to lead our AI initiatives and position the firm at the forefront of legal technology. The Project Manager will be a strategic leader responsible for creating and driving the project charter, plan, adoption, implementation, and governance of AI technologies across Simpson Thacher & Bartlett LLP. This role sits at the intersection of technology, legal practice, and program management, requiring an individual who can translate complex AI capabilities into tangible, firm-wide value. The successful candidate will oversee a portfolio of AI projects, manage cross-functional teams, and work closely with senior stakeholders to ensure that AI initiatives align with the firm’s strategic objectives and deliver measurable outcomes.
Responsibilities
Lead the strategic planning, execution, and delivery of AI programs and initiatives across the firm, ensuring alignment with organizational priorities and business objectives. Manage the end-to-end lifecycle of AI projects, including requirements gathering, vendor evaluation, implementation, change management, and post-deployment optimization. Oversee the deployment and adoption of AI platforms including Anthropic’s Claude, Harvey (AI for legal professionals), and Microsoft Co-Pilot across practice groups and business services. Report into the Program Management Office (PMO), implementing governance frameworks, reporting structures, and standardized methodologies. Apply Agile methodologies (Scrum, Kanban, SAFe) to manage iterative AI development cycles, ensuring rapid delivery of value while maintaining quality standards. Serve as the primary liaison between technology teams, legal professionals, firm leadership, and external AI vendors, translating technical capabilities into business language. Develop and maintain program roadmaps, budgets, risk registers, and status reports for executive-level stakeholders and steering committees. Contribute to driving organizational change management to foster AI adoption and digital literacy across the firm, including training programs and communication strategies. Ensure all AI implementations comply with legal, ethical, and regulatory requirements, including data privacy, confidentiality, and responsible AI principles. Manage relationships with key technology partners and outside partners including Anthropic, Harvey AI, and Microsoft, negotiating contracts and ensuring service-level performance. Mentor and coach the PMO team on best practices for running AI programs.
Education
Bachelor’s degree PMP, Prince2 or CAPM preferred Skills and Experience 5–10 years of progressive experience in program or project management, with at least 4 years managing AI/ML projects or digital transformation initiatives. Proven track record of successfully delivering large-scale AI programs in complex organizational environments, preferably in professional services or legal. Demonstrated experience with Anthropic’s products and platform, including hands-on familiarity with Claude for enterprise use cases. Experience implementing and managing Harvey AI or similar AI platforms purpose-built for legal professionals. Strong expertise in Microsoft Co-Pilot deployment and integration, including configuration for enterprise-grade workflows.