Coordinate delivery across Engineering, Cloud Platform, Networking, SRE, Data Center Operations, Observability, Finance, Business Operations, hardware partners, and executive leadership.
Establish and lead program operating mechanisms, including weekly execution reviews, readiness assessments, governance forums, executive business reviews, and cross-functional planning sessions.
Monitor GPU fleet readiness, deployment progress, operational health, service availability, and reliability across current and next-generation AI platforms.
Manage deployment governance, operational readiness reviews, stakeholder transitions, and change management processes to ensure successful service delivery.
Navigate complex dependencies across organizations, resolve execution risks, drive mitigation plans, and ensure accountability through program completion.
Serve as the primary escalation point between engineering and operations to accelerate issue resolution and remove execution blockers.
Establish structured incident management processes, including root-cause analysis, corrective and preventive action tracking, and verification of long-term resolutions.
Develop executive-level reporting and dashboards that communicate program health, operational KPIs, customer impact, dependencies, financial status, risks, mitigation plans, and key decisions.
Partner with Observability and Telemetry teams to improve visibility into GPU health, network fabric performance, RDMA, RoCE, InfiniBand, and overall service health.
Collaborate with internal engineering organizations and external hardware partners to improve deployment quality, operational efficiency, and time to resolution.
Establish scalable program management frameworks, documentation standards, runbooks, playbooks, onboarding materials, and repeatable delivery processes.
Drive continuous improvement through automation, AI-assisted workflows, data-driven decision making, validation frameworks, version readiness, and operational optimization.
Build and maintain consistent reporting, scorecards, KPIs, and program metrics to support executive decision-making and portfolio management.
Bachelor's or Master's degree in Business, Engineering, Computer Science, or a related discipline, or equivalent practical experience.
Minimum of seven years of program management, product management, technical project management, or related experience leading large-scale, cross-functional initiatives.
Demonstrated experience managing complex technical programs involving infrastructure, cloud services, networking, distributed systems, or enterprise software.
Proven ability to lead multiple concurrent programs while effectively managing competing priorities, dependencies, risks, and stakeholder expectations.
Strong experience partnering with cross-functional technical and business organizations to deliver strategic initiatives.
Experience developing executive dashboards, KPI reporting, scorecards, and data-driven program insights to support operational and business decisions.
Demonstrated ability to establish scalable governance frameworks, operating cadences, and standardized program management processes.
Strong analytical, organizational, communication, and executive presentation skills, with the ability to influence stakeholders at all organizational levels.
Proven ability to work effectively in highly ambiguous, fast-paced environments while driving accountability and execution across organizations without direct authority.
Experience with AI infrastructure, GPU deployments, cloud infrastructure, data center operations, networking, observability, or large-scale distributed systems is strongly preferred.
PMP, Scrum Master, or equivalent project management certification is a plus.
