About this Reporting and Controls Lead, Data Center Capacity Delivery role at Anthropic
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
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Consolidated milestone tracking (early floor access, floor access, RFS) current across all projects.
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Schedule and status data reconciled at the source.
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Portfolio capacity projections and variance to plan maintained.
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Delivery-review and executive reporting built; data-quality checks automated where possible.
Competencies
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Project controls / scheduling on large capital programs.
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Portfolio-level, not single-job, reporting.
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Scheduling, spreadsheet, and BI tooling fluency.
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Identifying, qualifying, and packaging data driven insights that define project and portfolio health.
Responsibilities
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Own consolidated milestone tracking across all active and upcoming delivery projects — early floor access, floor access, ready for service — and keep it current
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Validate schedule and status data from developers, GCs, and third-party partners; challenge what doesn't reconcile and fix it at the source
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Maintain portfolio capacity projections and the variance to plan behind them
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Build and maintain reporting for delivery reviews and executive updates
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Define the data standards and integrated-schedule and tooling conventions projects report against, with the Program Management Lead
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Automate reporting and data-quality checks where possible, including with AI-assisted tools
You may be a good fit if you
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Have [7+] years in project controls, scheduling, or program reporting on large capital construction programs — data center, energy, or industrial
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Have run consolidated reporting across a multi-project portfolio, not a single job
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Are fluent in scheduling, spreadsheet, and BI tooling [e.g. Primavera P6, Excel, Power BI — confirm]
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Communicate clearly, in writing and in charts, to technical and executive audiences
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Are comfortable building the process while running it
Strong candidates may also have
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Hyperscaler, colo, or developer-side program-controls experience
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Owner's-side cost controls or earned-value reporting experience
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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.
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 candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
