Principal Technical Program Manager - Datacenter Infrastructure

Microsoft Cloud Operations and Innovation (CO+I) is the team behind the cloud.  Within CO+I, the Integrated Planning & Execution (IPE) - Datacenter Infrastructure team responsible for global planning to maximize efficiency of our capacity while optimizing safety, security, and availability across our global datacenter portfolio. As a Principal Technical Program Manager focused on Datacenter Infrastructure , you will be responsible for leading and managing Global OKRs across multiple regions and cross functional teams. You will partner with team projects, analytics, and growing key business relationships aimed at optimizing global programs that not only prove at pilot but also scale for impact. You will work closely with cross-functional teams to develop and implement strategies for maximizing efficiency and ensuring sustainable practices in our cloud infrastructure.   In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.   We are seeking a highly skilled and motivated Principal Technical Program Manager to join our dynamic team. The ideal candidate will have a proven track record in managing enterprise level programs in a complex cloud infrastructure environment, ensuring seamless integration of cloud services, and optimizing performance across the organization. As a Datacenter Infrastructure Lead, you will play a key role in driving a successful multi-year execution, implementation of strategies and ongoing management of our cloud infrastructure initiatives across MSFT.

Program Leadership and Strategy: Defining end-to-end technical program plans using structured delivery frameworks including Agile and Waterfall, including scope, milestones, dependencies, and execution timelines. Execute a comprehensive multi-year program strategy to optimize infrastructure utilization across Microsoft's global datacenters. 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. Technical Expertise and Management: 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. Project Planning, Execution and Stakeholder Management: Defining operational readiness criteria for production releases using go-live checklists, failure-mode analysis, and post-deployment validation metrics. Monitor project progress, identify potential risks, and implement mitigation strategies to ensure timely and successful delivery. Coordinate with internal and external stakeholders to ensure seamless execution of program activities. Driving program execution across distributed engineering teams by tracking delivery metrics including schedule variance, milestone burndown, throughput, and defect leakage. Implementing governance and change-control mechanisms for technical programs using impact analysis, dependency validation, and formal change-approval processes. Continuous Improvement and Innovation: Drive a culture of continuous improvement by identifying and implementing best practices, innovative solutions, and process enhancements. Stay current with industry trends, emerging technologies, and regulatory requirements related to datacenter infrastructure and delivery.