Role Overview
We are seeking an experienced Program Manager to lead a large-scale AI-Driven Software Development Lifecycle (AI-DLC) Transformation initiative. This role will drive enterprise adoption of AI-native engineering practices, agentic workflows, and AI-assisted software development, enabling measurable improvements in engineering productivity, quality, cost efficiency, and speed to market.
Key Responsibilities
Lead end-to-end delivery of AI-DLC transformation programs across multiple business units.Establish and manage governance frameworks, operating models, executive reporting, program roadmaps, budgets, risks, and dependencies.Drive phased adoption strategies covering assessment, pilot execution, enterprise scaling, and transition to self-sufficiency.Coordinate cross-functional teams including platform engineering, architects, Forward Deployed Engineers (FDEs), product specialists, and client engineering teams.Manage stakeholder alignment across executive leadership, engineering organizations, and delivery teams.Track and drive value realization through metrics such as DORA metrics, cycle time, defect rates, developer productivity, AI adoption, and engineering maturity.Lead organizational change management, enablement programs, training initiatives, and capability transfer activities.Ensure successful rollout of AI-assisted development workflows, governance controls, playbooks, SOPs, and reusable engineering assets.Required Qualifications
10+ years of experience in Program Management, IT Delivery, Engineering Transformation, or related fields.Proven success leading large-scale Software Engineering, DevOps, Platform Engineering, or Digital Transformation programs.Strong expertise in Agile delivery, DevOps, SDLC modernization, enterprise governance, and organizational change management.Experience with GitHub, AI-assisted software development platforms, developer productivity programs, or engineering transformation initiatives.Demonstrated ability to manage global, distributed, and cross-functional teams.Excellent executive communication, stakeholder management, facilitation, risk management, and problem-solving skills.Preferred Qualifications
- Hands-on experience leading Generative AI, Agentic AI, GitHub Copilot, AI-native SDLC, or Developer Productivity Transformation programs.
Why Join?
Be at the forefront of enterprise AI transformation, shaping the future of software engineering through AI-powered development practices, intelligent automation, and next-generation engineering operating models.