Business Intelligence Systems Manager, Commercial Projects

About the role

The role designs and operates data systems for Valar Atomics commercial projects. It translates complex business needs into scalable data platforms, dashboards, and reporting tools. Valar Atomics commercial projects turn diverse project inputs into structured, connected information that supports enterprise decision making. The position requires deep collaboration with cross-functional teams to ensure data solutions align with strategic objectives. You will own the end-to-end lifecycle of data systems, from initial requirements gathering through deployment and ongoing optimization. This role thrives on turning ambiguity into structured analysis and repeatable processes. You will ensure that data infrastructure supports confident, traceable decision-making across the business.

Key facts

What you'll do

Diverse project inputs feed structured, connected information that supports enterprise decision making. You architect data models that unify these inputs into coherent datasets suitable for analysis. Create systems that scale from a single commercial site to multiple sites without loss of reliability or clarity. Consistent information flow enables business expansion as new sites come online. Stakeholders use these views to track progress and manage trade-offs in real time. Faster access to data helps teams respond quickly to issues and opportunities across project timelines. This alignment turns ambiguity into structured analysis and repeatable processes that reduce manual effort. Smooth connections between systems reduce manual work and improve timeliness of reporting. Consistent standards support traceability and confidence in decisions made by leadership. Shared understanding ensures that data solutions address real business problems and deliver measurable value. A steady rhythm of delivery improves coordination and long-term planning across functions and departments.

Requirements

You can talk with executives and project leaders, understand their needs, and translate them into useful data systems and automations. Clear communication ensures that technical work stays aligned with business goals and priorities. You can build practical dashboards and tools that help teams make timely, evidence-based decisions with accessible insights. Usable interfaces encourage adoption and correct use of data across the organization. You balance speed with data quality, traceability, and reliability while managing platform and business requirements effectively. Thoughtful trade-offs keep the system useful, maintainable, and aligned with stakeholder expectations. You manage both the technical details of a data platform and the business needs it supports over the full lifecycle. Sustained attention to both areas keeps the solution effective, efficient, and resilient to change. You are comfortable leading a small data, analytics, or engineering team while remaining hands-on in implementation when necessary. Direct involvement ensures quality and clarity of expectations across technical and business stakeholders. You avoid building complexity for its own sake and focus on systems that improve business operations sustainably. Simpler solutions are easier to maintain, scale, and explain to non-technical audiences. You can create reporting and data infrastructure that works for one site and scales to many commercial sites without re-architecting. Reusable components reduce future effort, minimize inconsistency, and accelerate new implementations. You have 7+ years of experience in data engineering, business intelligence, data platforms, or analytics systems. Deep experience informs better design decisions, reliability, and long-term maintainability. You own a data platform or reporting system end to end, from raw data through dashboards and decision-making tools. End-to-end ownership ensures coherence, accountability, and alignment with business outcomes. You work effectively with non-technical leaders and translate business needs into precise data work specifications. This collaboration turns vague requests into detailed, actionable requirements and designs. You manage a small data, analytics, or engineering team and set clear expectations regarding roles, responsibilities, and standards. Clear direction helps the team focus on high-value work and maintain alignment with project objectives. You operate comfortably in fast-moving environments with incomplete information and evolving priorities. Adaptability supports steady progress despite uncertainty and changing business conditions. You deliver a useful first version quickly and iteratively improve it over time through feedback and validation. Early value provides actionable feedback for further refinement and system evolution. You exercise good judgment on when to build a system versus adopting a simpler solution. Right-sizing the solution avoids unnecessary cost, complexity, and long-term maintenance burden.

Nice to have

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 relevant to high-assurance environments.

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 where accuracy, traceability, and documentation matter.

Strong communication skills with executives, technical teams, and operational stakeholders across diverse projects.

Practical notes

U.S. citizenship or lawful permanent residency is required.

The role is based in Torrance and involves close collaboration with project controls, finance, engineering, and regulatory teams.

Good to know

Data platforms and business intelligence tools turn complex project information into clear, actionable insights.

Clear reporting standards and audit trails support reliable decision making in regulated industries.

Cross-functional collaboration aligns data systems with evolving commercial project needs.

Scalable data infrastructure enables consistent reporting as the business grows across multiple sites.

Hands-on leadership combines technical implementation with stakeholder communication to ensure successful adoption and ongoing value realization.