Sr. Manager, Business Intelligence and Information Systems
About the role
At Arbor Energy & Resources Corporation, we're creating technology to power our lives while protecting the planet. This role involves owning the design, deployment, and evolution of our company's intelligence layer, which connects engineering, manufacturing, and business functions.
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
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
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
Preferred Qualifications
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
Compensation & Benefits
Pre-IPO stock options
Medical, dental, and vision insurance (Arbor covers 90% for employees)
Basic life insurance fully covered
Health savings account (HSA) with matching
Flexible savings account (FSA)
Unlimited PTO
12+ company holidays, including Earth Day!
401(k)
Commuter benefits
Annual learning and development stipend
And more!
Base Pay: $155,000 - $175,000 USD/year. The salary is subject to the applicant's skills, qualifications, experience, and geographic location.