Business Intelligence Systems Manager, Commercial Projects

Business Intelligence Systems Manager, Commercial Projects Build and scale Valar’s commercial data platform to support multi-site projects

Location:

Torrance, California

Compensation: $175, USD / year

Torrance

At Valar Atomics, we're redefining what's possible in energy. Our mission is to make clean, high-temperature nuclear power scalable - unlocking abundant energy for industry, hydrogen, and next-generation manufacturing. We are a team of builders, engineers, and operators who believe nuclear energy should be fast to deploy, factory-made, and built for the real world. Our first pilot plant in Orangeville, Utah will demonstrate how advanced nuclear systems and fuel fabrication can power the future.

Joining Valar Atomics means becoming part of a company where autonomy, ownership, and impact exist at every level.

The Business Intelligence Systems Manager will build and manage the data systems that support Valar's commercial project growth.

Valar's commercial projects depend on many moving parts: schedules, costs, risks, documents, engineering inputs, licensing requirements, procurement, and supply chain. This role will own the systems that connect that information and turn it into useful reporting for project teams, site leaders, and executives.

The goal is to give teams across the enterprise clear, reliable information so they can make better decisions and move faster. This includes deciding how data is collected, organized, connected, checked, reported, and protected; as well as allowing and streamlining cross enterprise data flows both into, and out of, the commercial team.

This is a hands-on leadership role for someone who can work with both technical and non-technical teams. Success in this role means translating messy business needs into clear data systems, operational automations, workflows, and reporting tools that can scale from one commercial site to many.

• Build and manage Valar's commercial data platform across schedule, cost, risk, document control, and operations.
• Design how data is collected, structured, stored, connected, and reported.
• Create systems that can scale from one commercial site to many.
• Build executive dashboards for project status, cost, risk, schedule, and document control.
• Create self-serve reporting tools so teams can access the information they need without waiting on engineering support.
• Work with executives and project leaders to turn broad questions into clear metrics and reports.
• Lead integrations between different business systems and data sources.
• Set standards for data quality, access control, audit trails, and reporting reliability.
• Manage updates, changes, and retirement of dashboards, reports, and platform components.
• Work closely with Project Controls, Finance, Engineering, Regulatory Affairs, IT, and Commercial Projects.
• Help establish the team's working rhythm, including intake, prioritization, roadmap planning, and reporting reviews.

• You can talk with executives and project leaders, understand what they need, and translate that into useful data systems.
• You can build practical dashboards and tools that help teams make decisions.
• You know how to balance speed with data quality, traceability, and reliability.
• You can manage both the technical details of a data platform, and the business needs it supports.
• You are comfortable leading a small technical team while staying hands-on.
• You avoid building complexity for its own sake and focus on systems that help the business operate better.
• You can create reporting and data infrastructure that works for one site and can scale to many.

• 7+ years of experience in data engineering, business intelligence, data platforms, or analytics systems.
• Experience owning a data platform or reporting system from raw data through dashboards and decision-making tools.
• Strong ability to work with non-technical leaders and translate business needs into data work.
• Experience managing a small data, analytics, or engineering team.
• Comfort working in a fast-moving environment with incomplete information.
• Ability to build a useful first version quickly, then improve it over time.
• Good judgment about when to build a system and when a simpler solution is better.

• Experience as a Palantir Forward Deployed Engineer or in a similar customer-facing data engineering role.
• Background in AI infrastructure, lab automation, or technical operations.
• Experience in aerospace, defense, advanced manufacturing, construction technology, project controls, or energy.
• Familiarity with tools such as Primavera, Microsoft Project, ERP systems, Palantir Foundry, document control systems, or construction/project management platforms.
• Experience in regulated industries such as nuclear, aerospace, defense, aviation, or manufacturing.
• Ability to operate well in environments where accuracy, traceability, and documentation matter.
• Strong…