Program Manager 4

Oracle Corporation; Nashville (TN); On-site; USD 150,000 - 210,000; Full time

Job summary

Oracle Corporation in Nashville, TN seeks a Principal Program Manager to lead planning, execution, and readiness of AI infrastructure and GPU delivery programs. You will translate complex requirements into execution plans, establish governance, drive cross-functional alignment, and deliver across multiple concurrent programs.

The role requires influencing across organizations, navigating ambiguity, and driving executive decisions without direct authority. PMP/Scrum Master credentials are a plus.

Qualifications

• Bachelor's or Master's degree in Business, Engineering, Computer Science, or a related discipline.
• Proven ability to lead large-scale, cross-functional initiatives.
• Experience managing complex technical programs involving infrastructure, cloud, networking, or distributed systems.
• Strong communication and executive presentation skills.

Responsibilities

• Own end-to-end execution of AI infrastructure and GPU delivery programs.
• Coordinate delivery across Engineering, Cloud Platform, Networking, SRE, and Ops teams.
• Establish program cadences: reviews, governance forums, executive reviews.
• Develop integrated program plans with milestones, risks, and owners.
• Monitor GPU fleet readiness and service health across platforms.
• Serve as escalation point between engineering and operations.

Skills

Program management

Cross-functional leadership

Stakeholder management

Executive communication

Ambiguity navigation

Education

Bachelor's or Master's degree in Business/Engineering/CS

Job description

As a Principal Program Manager, you will oversee the planning, execution, and operational readiness of strategic AI infrastructure and GPU delivery initiatives. You will be responsible for translating complex technical and operational requirements into integrated execution plans, establishing governance frameworks, driving cross-functional alignment, and ensuring successful delivery across multiple concurrent programs. This role requires the ability to influence across organizations, navigate ambiguity, manage competing priorities, and drive executive decision-making without direct authority.

Internal Responsibilities

• Own the end-to-end execution of complex AI infrastructure and GPU delivery programs, from strategic planning and deployment readiness through operational handoff.
• Identify, prioritize, and successfully execute a broad portfolio of cross-functional initiatives while managing multiple programs concurrently.
• Develop and maintain integrated program plans that define milestones, deliverables, dependencies, risks, owners, key decisions, and committed actions.
• 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.

Qualifications

• 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.

External Responsibilities

• Own the end-to-end execution of complex AI infrastructure and GPU delivery programs, from strategic planning and deployment readiness through operational handoff.
• Identify, prioritize, and successfully execute a broad portfolio of cross-functional initiatives while managing multiple programs concurrently.
• Develop and maintain integrated program plans that define milestones, deliverables, dependencies, risks, owners, key decisions, and committed actions.
• 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.

Qualifications

• 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.