Leads strategic technical programs supporting the design, automation, and global delivery of data center white space. Partners with Data Hall Design (DHD) and cross-functional OCI teams to translate complex technical requirements into scalable, executable solutions.
Applies critical thinking, data-driven decision-making, and proactive risk management to identify issues early, challenge assumptions, navigate ambiguity, and improve Data Hall Design at scale.
Internal Responsibilities
Technical Program Leadership
- Leads complex Data Hall Design programs from concept through deployment.
- Defines strategy, priorities, roadmaps, dependencies, and measurable outcomes across DHD and partner teams.
- Navigates ambiguity, evaluates tradeoffs, and drives critical decisions.
- Influences senior stakeholders and resolves issues spanning organizations and regions.
Risk & Data-Driven Execution
- Anticipates technical and program risks and drives mitigation before delivery is impacted.
- Uses data and leading indicators to identify trends, assess program health, and prioritize action.
- Challenges assumptions, identifies root causes, and drives solutions to systemic issues.
- Provides fact-based recommendations with clear options, tradeoffs, and impacts.
Automation & Scale
- Partners with engineering and software teams to advance Data Hall Design automation.
- Translates design standards and engineering workflows into scalable automation opportunities that reduce manual effort, variation, errors, and cycle time.
- Uses deployment feedback and performance data to improve standards, processes, and tooling.
External Responsibilities
Technical Program Leadership
- Leads complex Data Hall Design programs from concept through deployment.
- Defines strategy, priorities, roadmaps, dependencies, and measurable outcomes across DHD and partner teams.
- Navigates ambiguity, evaluates tradeoffs, and drives critical decisions.
- Influences senior stakeholders and resolves issues spanning organizations and regions.
Risk & Data-Driven Execution
- Anticipates technical and program risks and drives mitigation before delivery is impacted.
- Uses data and leading indicators to identify trends, assess program health, and prioritize action.
- Challenges assumptions, identifies root causes, and drives solutions to systemic issues.
- Provides fact-based recommendations with clear options, tradeoffs, and impacts.
Automation & Scale
- Partners with engineering and software teams to advance Data Hall Design automation.
- Translates design standards and engineering workflows into scalable automation opportunities that reduce manual effort, variation, errors, and cycle time.
- Uses deployment feedback and performance data to improve standards, processes, and tooling.
