As OCI’s development pipeline expands, actionable insights, strong data governance, and consistent reporting are essential to supporting informed decision-making at scale.TheSenior Principal Technical Program Manager acts as the primary systems architect for our global infrastructure organization, overseeing the end-to-end flow of people, processes, and systems required to scale Cloud and AI delivery.This leader will drive critical infrastructure oversight, action, and controls, ensuring that organizational handoffs are seamless and that the business is positioned to meet its strategic and financial objectives.
Internal Responsibilities
Responsibilities
Scalable Program Management: Lead a high-impact program management function to drive cross-functional visibility and ensure execution remains within OCI’s capacity and financial guardrails.
Data Center Cost Management Strategy: Establish and lead OCI’s centralized Data Center Cost Management function, creating the governance framework, operating model, and reporting mechanisms required to manage the full lifecycle cost structure of global data center expansion and operations.
Long-Range Planning (LRP) Execution: Bridge the gap between multi-year financial models and operational reality, ensuring the organization has the right headcount and systems to support projected growth.
Systems & Process Oversight: Act as the lead architect for organizational workflows, identifying and resolving friction points in the handoffs between engineering, supply chain, and site operations.
AI Infrastructure Controls: Drive critical oversight and governance for strategic AI/ML GPU cluster deployments, ensuring operational readiness and risk-aware decision-making.
Executive Governance: Synthesize complex operational telemetry into actionable insights for C-suite and Executive-level stakeholders, driving consensus on investment and risk.
Systems Integration: Partner with internal tooling teams to design executive-level telemetry and BI dashboards that track the "health of the machine" across all global regions.
Qualifications
Operational Leadership: 10+ years of progressive experience in operational excellence, change management, systems architecture, or program management within a hyperscale data center or cloud environment.
Infrastructure Financial Management Expertise: Demonstrated experience building or leading large-scale cost management, financial governance, FP&A, or operational finance functions within hyperscale cloud, data center, infrastructure, or capital-intensive environments.
Cost Optimization & Benchmarking: Drive enterprise-wide cost optimization initiatives through advanced analytics, supplier performance management, benchmarking, process standardization, and identification of cost-saving opportunities across the infrastructure portfolio.
Advanced Educational Foundation: MBA or Master’s degree in a quantitative or technical field (e.g., Engineering, Finance, or Operations) from a reputable institution.
AI & Infrastructure Fluency: Deep understanding of the operational complexities of GPU-intensive clusters, including high-density power requirements and the unique networking needs of AI delivery.
Executive-Level Influence: Mastery in distilling massive organizational datasets into high-impact narratives that drive consensus across fragmented engineering and supply chain teams.
Strategic Systems Thinking: Demonstrated ability to act as both a systems architect and a driver of action, establishing the controls necessary to manage an expansive infrastructure portfolio.
External Responsibilities
Responsibilities
Scalable Program Management: Lead a high-impact program management function to drive cross-functional visibility and ensure execution remains within OCI’s capacity and financial guardrails.
Data Center Cost Management Strategy: Establish and lead OCI’s centralized Data Center Cost Management function, creating the governance framework, operating model, and reporting mechanisms required to manage the full lifecycle cost structure of global data center expansion and operations.
Long-Range Planning (LRP) Execution: Bridge the gap between multi-year financial models and operational reality, ensuring the organization has the right headcount and systems to support projected growth.
Systems & Process Oversight: Act as the lead architect for organizational workflows, identifying and resolving friction points in the handoffs between engineering, supply chain, and site operations.
AI Infrastructure Controls: Drive critical oversight and governance for strategic AI/ML GPU cluster deployments, ensuring operational readiness and risk-aware decision-making.
Executive Governance: Synthesize complex operational telemetry into actionable insights for C-suite and Executive-level stakeholders, driving consensus on investment and risk.
Systems Integration: Partner with internal tooling teams to design executive-level telemetry and BI dashboards that track the "health of the machine" across all global regions.
Qualifications
Operational Leadership: 10+ years of progressive experience in operational excellence, change management, systems architecture, or program management within a hyperscale data center or cloud environment.
Infrastructure Financial Management Expertise: Demonstrated experience building or leading large-scale cost management, financial governance, FP&A, or operational finance functions within hyperscale cloud, data center, infrastructure, or capital-intensive environments.
Cost Optimization & Benchmarking: Drive enterprise-wide cost optimization initiatives through advanced analytics, supplier performance management, benchmarking, process standardization, and identification of cost-saving opportunities across the infrastructure portfolio.
Advanced Educational Foundation: MBA or Master’s degree in a quantitative or technical field (e.g., Engineering, Finance, or Operations) from a reputable institution.
AI & Infrastructure Fluency: Deep understanding of the operational complexities of GPU-intensive clusters, including high-density power requirements and the unique networking needs of AI delivery.
Executive-Level Influence: Mastery in distilling massive organizational datasets into high-impact narratives that drive consensus across fragmented engineering and supply chain teams.
Strategic Systems Thinking: Demonstrated ability to act as both a systems architect and a driver of action, establishing the controls necessary to manage an expansive infrastructure portfolio.
