Reporting and Controls Lead, Data Center Capacity Delivery
Anthropic· Compute
Hybrid (Remote/USA)$320k - $405kFull-timePosted 2mo ago
About the role
Lead responsible for consolidated portfolio-level reporting, data integrity, and capacity projections across Anthropic's data center delivery projects from early floor access to ready-for-service, partnering with field teams, PM partners, and design/deployment inputs.
Responsibilities
- Own consolidated milestone tracking across all active and upcoming delivery projects — early floor access, floor access, ready for service — and keep it current
- Validate schedule and status data from developers, GCs, and third-party partners; challenge what doesn't reconcile and fix it at the source
- Maintain portfolio capacity projections and the variance to plan behind them
- Build and maintain reporting for delivery reviews and executive updates
- Define the data standards and integrated-schedule and tooling conventions projects report against, with the Program Management Lead
- Automate reporting and data-quality checks where possible, including with AI-assisted tools
Qualifications
- 7+ years in project controls, scheduling, or program reporting on large capital construction programs — data center, energy, or industrial
- Ran consolidated reporting across a multi-project portfolio, not a single job
- Fluent in scheduling, spreadsheet, and BI tooling (e.g. Primavera P6, Excel, Power BI)
- Clear written and visual communication to technical and executive audiences
- Comfortable building the process while running it
Skills
Required:Project controls / schedulingPortfolio-wide reportingBI toolingData quality and validation
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration
Last updated Aug 26, 2026. Interested? Apply on the company site.
About Anthropic
building reliable, interpretable, and steerable AI systems
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
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