Reporting and Controls Lead, Data Center Capacity Delivery

6 дн. назад

USALeadRemote

data analysisreportingproject managementmilestone tracking

Lead reporting and controls for data center capacity delivery projects, managing milestone tracking and data integrity.

Обязанности

Training and serving frontier AI models requires data center capacity at a scale and pace that conventional delivery models were not built for. '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.
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

Другое

’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.
Give the delivery team and leadership one trustworthy view of where every project stands.
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.
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.
 
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
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.
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 recruiters only contact you
We believe that the highest-impact AI research will be big science. At 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 , including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
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.