Valar Atomics

advanced energy

BISystemsManager

$100–160k Hawthorne, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“BI Systems Manager at Valar Atomics. Skills: data platform architecture, reporting, self-serve analytics, tool integration, team building, fleet replication. 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.”

What You'll Achieve.

Build data systems that scale across pods without re-engineering — multi-tenant by design, abstractable, ops-at-scale.

Industry & Context.

advanced energy
Problems you'll solve

ambiguity-tolerant problem orientation

Eligibility Requirements

Comfort with relocation to or substantial presence in Orangeville, UT, Applicants must be legally authorized to work in the United States as a U. S. citizen or lawful permanent resident (green card holder).

What They're Looking For.

Must Have

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, 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

Nice to Have

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 You'll Do.

Architect Valar's data platform across schedule

and operations data — ingestion

Establish data contracts and schemas that survive the transition from one-pod to multi-pod operations.

Set platform-level standards: data lineage

Make build / buy / integrate calls across the tooling stack — Primavera

Build and maintain executive dashboards across schedule

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.

Lead integration between Primavera / MSP (schedule)

ERP (cost / procurement)

and custom data sources.

Hire and manage the BI shape the data-engineering hiring plan as the team scales.

Set the team's operating cadence — intake triage

on-call for executive dashboards.

Mentor BIS hires on customer-facing engineering posture and platform-thinking discipline.

Build data systems that scale across pods without re-engineering — multi-tenant by design

How You'll Work.

Team & Collaboration

Partner with the Project Controller (GS1P-PC) and Cost Estimator (MSG-CostE) on the project-controls source-of-truth question.; Partner with the future MSG Manager (CoS) on operating cadence and reporting design across pods.; 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.

Communication Scope

customer-facing engineering posture — you can run intake meetings with non-technical executives and translate to data work; reporting design conversation with executive partners — translate fuzzy intake into concrete metrics

Process & Methodology

sprint rhythm, intake triage

Full Job 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 custo

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