Director, Data Center Cost Control Team Lead

Oracle

3h•Remote

About The Position

The AI Gigascale Construction Cost Manager Lead (OCI) provides end-to-end cost leadership for Oracle Cloud Infrastructure (OCI) gigascale construction programs, including hyperscale data center campuses and associated enabling infrastructure. This role blends rigorous cost management and project controls with scaled, time-to-market–focused delivery execution to improve forecast accuracy, accelerate executive decision-making, strengthen early risk detection, and deliver clear, auditable cost transparency across the full project lifecycle. You will build and lead a cost controls function and team, establishing standardized processes, systems, and reporting that scale across multiple sites and workstreams. You will own the development and maintenance of estimates, budgets, forecasts, cash flow, contingency, and change control, partnering closely with Design & Construction, Procurement/Supply Chain, Finance, Scheduling/Project Controls, and Delivery leadership to drive predictable outcomes and disciplined cost governance. You will also champion the responsible use of AI and advanced analytics within Oracle construction and engineering productivity suite; creating repeatable models, dashboards, and insights that improve performance (e.g., variance detection, cost risk indicators, productivity signals, invoice/bid anomalies), while ensuring outputs are explainable, traceable, and aligned with enterprise data governance and compliance expectations. NOTE: Work from home/remote with no less than 50% travel.

Responsibilities

Build and lead a cost controls function and team
Establish standardized processes, systems, and reporting that scale across multiple sites and workstreams
Own the development and maintenance of estimates, budgets, forecasts, cash flow, contingency, and change control
Partner closely with Design & Construction, Procurement/Supply Chain, Finance, Scheduling/Project Controls, and Delivery leadership to drive predictable outcomes and disciplined cost governance
Champion the responsible use of AI and advanced analytics within Oracle construction and engineering productivity suite
Create repeatable models, dashboards, and insights that improve performance (e.g., variance detection, cost risk indicators, productivity signals, invoice/bid anomalies)
Ensure outputs are explainable, traceable, and aligned with enterprise data governance and compliance expectations