Principal Technical Program Manager - Datacenter Infrastructure

Defining end-to-end technical program plans using structured delivery frameworks including Agile and Waterfall, including scope, milestones, dependencies, and execution timelines. Collaborate with senior leadership to align program goals with organizational objectives and business priorities. Lead cross-functional teams, including engineering, operations, and finance, to ensure program success. Implementing responsible AI practices in AI/ML systems, including model risk assessment, bias evaluation, data governance controls, and compliance with internal and regulatory AI policies. Analyzing complex system and platform dependencies across distributed services, APIs, and infrastructure components to identify technical risks and execution constraints. Managing technical risk, issue, and decision tracking using formal TPM frameworks and escalation models. Defining technical requirements, success criteria, and acceptance metrics using functional and non-functional requirement specifications, including scalability, availability, performance, and security targets. Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience). 5+ years of experience as a Technical Program Manager, Program Manager, or similar role in highly technical environments. Proven experience leading complex, cross-team technical programs with significant infrastructure or platform components. Deep Program Management expertise in converting data into insights into actions into impacts. Change Management and Stakeholder Management are important to the success of this role. Experience delivering programs that not only prove at pilot but also scale for impact. Familiarity with data center operations, hardware lifecycle management, or global deployment programs. Experience driving cycle-time reduction or large-scale process transformation. Background working with hyperscale cloud platforms or enterprise services. Coordinate with internal and external stakeholders to ensure seamless execution of program activities. Implementing governance and change-control mechanisms for technical programs using impact analysis, dependency validation, and formal change-approval processes.