• Lead large-scale AI/agentic development transformation programs across engineering, product, design, architecture, and platform teams.
• Translate AI strategy into roadmaps, workstreams, milestones, and measurable outcomes.
• Drive adoption of AI development tools such as Claude Code CLI, Cursor, and AI-powered code review, build analysis, and artifact-generation solutions.
• Partner with architects and engineering teams to support AI-ready services and platforms, including exposure to Model Context Protocol (MCP).
• Establish and track program KPIs, including adoption, developer engagement, development cycle time, and productivity improvements.
• Lead change management, training, communications, and enablement to drive sustained adoption.
• Coordinate cross-functional stakeholders, manage dependencies and risks, and provide executive-level reporting.
• Capture successful AI workflows, prompts, and practices and scale them across the organization.

• Proven experience leading large-scale technical programs or transformation initiatives.
• Strong understanding of the software development lifecycle, engineering platforms, and technical architecture.
• Experience with AI/GenAI, AI-assisted development, agentic workflows, or developer productivity initiatives.
• Strong stakeholder management and ability to influence across engineering, product, design, and leadership teams.
• Experience defining and managing program metrics and productivity KPIs.
• Strong change-management, communication, and organizational transformation experience.
• Experience with Claude Code, Cursor, GitHub Copilot, MCP, or similar technologies is highly preferred.
• Fintech, financial services, payments, or other high-integrity transaction environment experience is a plus.

This is an excellent opportunity for a senior TPM who can bridge AI strategy, technical execution, and organizational change to deliver measurable engineering productivity improvements.

MSP

Our client is a leading global technology and financial services organization transforming how engineering teams build and deliver software through AI and Agent-Driven Development.