Spearhead transformative journeys in AI-assisted engineering and governed AI-DLC delivery as a Program Manager. This role involves defining and executing a comprehensive portfolio roadmap, integrating diverse workstreams, and driving the adoption of cutting-edge AI tools.

Focus on building capability and ensuring fluency in AI technologies, including the prioritization and governance of reusable agents. Establish robust governance frameworks for Responsible AI, lifecycle controls, and audit readiness.

Drive value realization by tracking key metrics like adoption, cycle time, quality, and productivity. Engage effectively with executive stakeholders, leading forums and reporting on progress, risks, and outcomes.

- Define and execute portfolio-level transformation roadmaps from AI-assisted engineering to governed AI-DLC and agent-enabled delivery. - Integrate product, engineering, architecture, quality, operations, security, risk, and business workstreams. - Scale adoption of GitHub Copilot, AI tools, and role-based capabilities. - Prioritize, rationalize, and govern reusable agents across the software development lifecycle. - Establish lifecycle controls, human oversight, model evaluations, security compliance, and audit readiness for Responsible AI. - Track adoption, cycle time, quality, automation, reuse, and productivity. - Lead steering forums, transformation councils, and QBRs; manage decisions, risks, and dependencies.

- 12+ years of experience in technology delivery, with a minimum of 5 years leading complex enterprise transformation programs. - Proven leadership in Agile, DevOps, cloud, engineering modernization, or digital transformation initiatives. - Demonstrated executive stakeholder management and global, cross-functional delivery experience. - Working knowledge of GenAI, LLMs, Agentic AI, AI governance, engineering metrics, and modern SDLC practices. - Bachelor's degree in Engineering, Computer Science, or a related field. MBA and relevant AI or program certifications are preferred.