Lead organizational change, workforce transitions, vendor consolidation, office relocation activities, and AI-enabled transformation as needed.
Promote automation adoption, identify productivity opportunities, and help teams adapt to evolving delivery models.
Ensure compliance with corporate policies, regulatory requirements, data privacy expectations, and physical and digital security requirements.
Perform other duties as assigned.
Bachelor’s degree in Computer Science, Information Technology, Engineering, Business, or a related field; equivalent experience will be considered.
10 – 15+ years of technology leadership experience in IT delivery, engineering, infrastructure, data and analytics, enterprise technology, or related disciplines.
Experience leading large technology organizations of 100 – 300 people preferred; must have led teams of at least 75 people across employees and contractors.
Direct experience managing managers, individual contributors, and large contractor populations.
Strong background in Global Capability Centers, captive centers, shared services, offshore delivery centers, or similarly scaled global delivery environments strongly preferred.
Strong understanding of SDLC, Agile, DevOps, service management, operational excellence, vendor governance, and enterprise delivery practices.
Demonstrated success with workforce planning, capacity management, talent development, succession planning, employee engagement, and retention.
Experience supporting global stakeholders, distributed teams, and cross-cultural operating models.
Proven ability to communicate with executive leaders, HR, Finance, Real Estate, Procurement, and business stakeholders.
Experience leading organizational change, major workforce transitions, vendor consolidation, AI-driven transformation, or similar enterprise change efforts.
Ability to use operational metrics, KPIs, SLAs, budgets, headcount plans, and vendor scorecards to improve delivery predictability and accountability.
Working understanding of AI and automation impact on workforce planning, productivity, and delivery models; deep technical AI expertise is not required.
Professional certifications such as ITIL, PMP, CISSP, CISM, AWS, Azure, or similar credentials are advantageous but not required.
