Reporting and Controls Lead, Data Center Capacity Delivery

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Training and serving frontier AI models requires data center capacity at a scale and pace that conventional delivery models were not built for. Anthropic's Data Center Capacity Delivery team embeds with developers, general contractors, and third-party partners to take leased and partnered sites from deal close through floor access and operational handover as fast as they can safely be built. As the Reporting and Controls Lead, you'll own the single view of where every project in the delivery portfolio stands: consolidated milestone tracking from early floor access through floor access and ready-for-service, the integrity of the data behind it, and the capacity projections leadership plans against. You'll build and run the reporting the delivery team and executives rely on, and chase down the schedule and data discrepancies it surfaces. This is a highly cross-functional role: you'll work with Senior Delivery Managers and Regional Managers in the field, our third-party project-management partners, and the planning, transaction, design, and deployment teams whose inputs and outputs the portfolio schedule depends on. MOC (Mission + Outcomes + Competencies) Mission Give the delivery team and leadership one trustworthy view of where every project stands. Outcomes - Consolidated milestone tracking (early floor access, floor access, RFS) current across all projects. - Schedule and status data reconciled at the source. - Portfolio capacity projections and variance to plan maintained. - Delivery-review and executive reporting built; data-quality checks automated where possible. Competencies - Project controls / scheduling on large capital programs. - Portfolio-level, not single-job, reporting. - Scheduling, spreadsheet, and BI tooling fluency. - Identifying, qualifying, and packaging data driven insights that define project and portfolio health. 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 You may be a good fit if you - Have [7+] years in project controls, scheduling, or program reporting on large capital construction programs — data center, energy, or industrial - Have run consolidated reporting across a multi-project portfolio, not a single job - Are fluent in scheduling, spreadsheet, and BI tooling [e.g. Primavera P6, Excel, Power BI — confirm] - Communicate clearly, in writing and in charts, to technical and executive audiences - Are comfortable building the process while running it Strong candidates may also have - Hyperscaler, colo, or developer-side program-controls experience - Owner's-side cost controls or earned-value reporting experience - Built planning or reporting tools leveraging AI-assisted development The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000—$405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong c

Have [7+] years in project controls, scheduling, or program reporting on large capital construction programs — data center, energy, or industrial. Have run consolidated reporting across a multi-project portfolio, not a single job. Are fluent in scheduling, spreadsheet, and BI tooling [e.g. Primavera P6, Excel, Power BI — confirm]. Communicate clearly, in writing and in charts, to technical and executive audiences. Are comfortable building the process while running it. Strong candidates may also have hyperscaler, colo, or developer-side program-controls experience; owner’s-side cost controls or earned-value reporting experience; built planning or reporting tools leveraging AI-assisted development.

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.