Sr. Business Systems Manager (Data and Automation)

Arbor Energy•El Segundo, CA

18h•$155,000 - $175,000

About The Position

At Arbor Energy & Resources Corporation ("Arbor Energy"), we’re creating technology to power our lives while protecting the planet that sustains them. Our advanced power systems deliver clean, reliable baseload electricity with zero operating emissions—modular, fuel-flexible, and engineered for the realities of today’s energy demand. At the core is a supercritical CO₂ turbine with integrated carbon capture, designed to bring carbon-neutral power online quickly at meaningful scale. Our team includes aerospace engineers, combustion experts, and systems thinkers with a shared goal: to build technology worthy of the world we want to live in. While many of us began our journeys looking to the stars, we’re applying that expertise here at home to deliver dependable, emission-free baseload power and a future of lasting abundance. If you share our values and are drawn to rigorous work with lasting impact, we’d love to learn more about you. Come build what the future will run on. Steward our planet: We build for tomorrow, ensuring every bolt we tighten and every hand we lend leaves our environment stronger than we found it. Lead with Love: We champion the success of our people, partners, and planet, nurturing excellence through camaraderie and rigor. Explore the Uncharted: We embrace the unknown with curiosity, using courage and discipline to transform uncertainty into opportunity. We're seeking a Principal-level leader to own the design, deployment, and evolution of our company's intelligence layer—the systems, workflows, and AI-native applications that connect engineering, manufacturing, and business functions. You'll define how information flows across the organization, deploy AI tools safely and effectively, and translate operational pain points into engineered solutions. This is a high-impact strategic role that requires both architectural vision and hands-on execution. You'll manage our Senior IT Infrastructure Engineer, partner cross-functionally with engineering and operations teams, and have the autonomy to hire software engineers as needed to build custom AI-native applications. The ideal candidate is an engineer-turned-product leader who understands how to build scalable systems while staying obsessively focused on solving real user problems.

Requirements

7+ years of experience in platform engineering, technical program management, business systems architecture, or related technical leadership roles
Strong technical foundation with hands-on experience building or deploying systems at scale (engineering, platform, or infrastructure background required)
Demonstrated experience deploying AI/ML platforms, tools, or automation workflows in production environments
Proven ability to design information architecture, data governance frameworks, or enterprise-scale platform strategies
Track record of leading cross-functional projects and earning credibility with deeply technical engineering teams
Experience working in high-growth, fast-paced environments (hardware, aerospace, defense, or advanced manufacturing strongly preferred)
Strong systems-thinking mindset—ability to see organizational challenges as interconnected systems, not isolated problems
Excellent communication skills with the ability to explain technical concepts to both engineers and non-technical stakeholders

Nice To Haves

Experience building business systems or internal platforms that connect engineering, manufacturing, and operations functions
Background in AI/ML operations (MLOps), including model deployment, monitoring, and governance at scale
Familiarity with data acquisition systems, time-series databases, or real-time telemetry infrastructure
Experience managing technical teams or hiring and mentoring engineers
Understanding of security frameworks, compliance requirements, or data governance in regulated industries
Product management or technical program management experience in platform, infrastructure, or developer tools
Exposure to manufacturing execution systems (MES), ERP platforms, or industrial automation workflows

Responsibilities

Define and implement the company's information architecture—how data, knowledge, and documentation flow across engineering, manufacturing, and business teams
Design the platforms, integrations, and workflows that serve as the "central nervous system" connecting cross-functional operations
Establish governance frameworks, documentation standards, and data safety protocols that ensure scalability without sacrificing speed
Partner with IT leadership to ensure infrastructure, security, and access controls support the information architecture vision
Own the strategy and execution for deploying AI tools (Claude Enterprise, custom agents, automation workflows) across the organization
Design and enforce containment layers, access permissions, and network isolation strategies for AI systems
Identify high-impact use cases for AI automation, prioritize based on pain points, and drive cross-functional adoption
Ensure AI deployments meet security, compliance, and data governance requirements
Act as the voice of the user—deeply understand pain points across engineering, manufacturing, and business operations teams
Translate operational challenges into technical solutions, either through platform configuration or by directing software engineers to build custom applications
Lead cross-functional projects that require coordination across IT, software, systems, and business teams
Balance speed and rigor—design systems that enable fast iteration while maintaining proper documentation, structure, and maintainability
Build business cases, define success metrics, and track the impact of information systems and AI initiatives
Manage and mentor the Senior IT Infrastructure Engineer, providing technical guidance and strategic direction
Hire and manage software engineers as needed to develop AI-native applications and automation workflows
Partner with engineering leadership to support data pipelines, telemetry infrastructure, and real-time monitoring systems
Interface credibly with deeply technical teams (propulsion engineers, electrochemical engineers, manufacturing specialists) to understand their workflows and pain points