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BI Systems Manager

Job in Hawthorne, Passaic County, New Jersey, 07506, USA
Listing for: Insider, Inc.
Full Time position
Listed on 2026-05-22
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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, Deep Mind, Scale AI, Adept.
  • Aerospace ops / data-infra background — Space

    X (Production data, Mission Control), Anduril Intel, Tesla manufacturing.
  • Construction / project-controls SaaS background — Procore, Autodesk Construction Cloud, Oracle…
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