BI Systems Manager at Valar Atomics

Hawthorne, California, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

160000.0

Posted On

18 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Platform Architecture, BI Architecture, Data Engineering, Team Management, Executive Reporting, Tool Integration, Data Modeling, Data Ingestion, Stakeholder Management, Project Controls, Multi-tenant System Design, Data Lineage

Industry

Oil and Gas

Description

About Valar Atomics Valar Atomics is developing a fleet of advanced nuclear reactors at gigasites across the U.S. As we scale from one pod to many, the data and systems infrastructure that ties together schedule, cost, risk, and document control becomes the operational backbone of the company. The BI Systems Manager builds and runs that backbone. About the role The BI Systems Manager owns Valar's data and systems infrastructure for fleet scaling. Our explicit target candidate profile is ex-Palantir Forward Deployed Engineers (FDEs) — the combination of customer-facing engineering depth, data infrastructure fluency, and ambiguity-tolerant problem orientation is the right fit for this role. AI lab automation researchers are a comparable second pool. You will manage two BI Specialists (BIS1 and BIS2) once those seats are filled, and the hiring plan grows this role into Director of Data Platform as the team adds BIS3+ seats and pod count scales — we are explicitly hiring with director potential in mind. Key responsibilities Data platform architecture Architect Valar's data platform across schedule, cost, risk, document control, and operations data — ingestion, modeling, storage, transformation, serving. Establish data contracts and schemas that survive the transition from one-pod to multi-pod operations. Set platform-level standards: data lineage, observability, access control, audit trail. Make build / buy / integrate calls across the tooling stack — Primavera, MSP, ERP, document control, custom sources. Reporting and self-serve analytics Build and maintain executive dashboards across schedule, cost, risk, and document control. Build the self-serve analytics layer that hiring managers and pod leadership use without engineering bottleneck. Own the reporting design conversation with executive partners — translate fuzzy intake into concrete metrics. Tool integration Lead integration between Primavera / MSP (schedule), ERP (cost / procurement), document control, and custom data sources. Partner with the Project Controller (GS1P-PC) and Cost Estimator (MSG-CostE) on the project-controls source-of-truth question. You own the integration layer; they own the operator-side tool depth. Team building and management Hire and manage the BI Specialists; shape the data-engineering hiring plan as the team scales. Set the team's operating cadence — intake triage, sprint rhythm, on-call for executive dashboards. Mentor BIS hires on customer-facing engineering posture and platform-thinking discipline. Fleet replication Build data systems that scale across pods without re-engineering — multi-tenant by design, abstractable, ops-at-scale. Partner with the future MSG Manager (CoS) on operating cadence and reporting design across pods. Reporting cadence Weekly: platform health + executive dashboard reliability flash to MSG lead. Monthly: data-platform roadmap review with executive team; intake portfolio review. Quarterly: Board-grade reporting design refresh; replication-readiness readout. Cross-functional partnership Partner with GS1P-PC on EVM tooling and cost-loaded schedule integration. Partner with MSG-CostE on estimate-rollup data flow. Partner with MSG-PFA on capital-plan and gate-financial-package data flow. Partner with the Project Manager (GS1P-PM) on schedule data architecture. Partner with the Head of Regulatory Affairs on document-control and audit-trail requirements. Basic Qualifications 7+ years in data engineering, data platforms, or BI architecture. Demonstrated end-to-end data platform ownership — from raw data ingestion through dashboards and self-serve analytics. Strong customer-facing engineering posture — you can run intake meetings with non-technical executives and translate to data work. Track record managing a small data/engineering team. Preferred Qualifications Palantir Forward Deployed Engineer (FDE) alumnus — primary target. AI lab automation / infrastructure background — Anthropic, OpenAI, DeepMind, Scale AI, Adept. Aerospace ops / data-infra background — SpaceX (Production data, Mission Control), Anduril Intel, Tesla manufacturing. Construction / project-controls SaaS background — Procore, Autodesk Construction Cloud, Oracle Primavera Cloud. Comfort with relocation to or substantial presence in Orangeville, UT. What We Offer Competitive base salary Equity ownership in a rapidly growing advanced energy company Comprehensive medical benefits Free daily lunch and dinner provided onsite High-impact startup environment with significant ownership and autonomy Opportunities for rapid career growth and internal advancement Direct collaboration with experienced operators, engineers, and industry leaders The opportunity to help build and scale transformative energy technology from the ground up Equal Employment Opportunity Statement Valar Atomics is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected status under applicable law. We are committed to providing a workplace free of discrimination and harassment and will provide reasonable accommodation as required by law. Applicants must be legally authorized to work in the United States as a U.S. citizen or lawful permanent resident (green card holder). horized to work in the United States as a U.S. citizen or lawful permanent resident (green card holder). Salary $100,000—$160,000 USD

Responsibilities

Architect and manage the data and systems infrastructure to support fleet scaling across schedule, cost, risk, and operations. Lead the integration of various project control tools and manage a team of BI specialists to provide executive-level analytics.