Director, AI Strategy & Transformation (Onsite)

Longroad Energy•San Francisco, CA

1d•$185,000 - $225,000•Onsite

About The Position

Longroad is hiring its first Director of AI Strategy & Transformation to define how AI will reshape the way Longroad operates — from project finance and asset management to legal, regional development, and operations — and to lead the change required to get there. This is a newly created role within the IT organization, chartered directly by the senior leadership team. The role begins as a strategic, assessment-oriented one. In the first phase, the Director will work across every function to understand Longroad’s current state, define a multi-year enterprise AI strategy, and lay the foundation — tooling, governance, operating model, and change management — for sustainable transformation. The Director is expected to roll up their sleeves where it matters most, but will spend the majority of their time on strategy, advisory, and transformation leadership. As the program scales, this role is expected to grow, with the potential to add an AI Analyst direct report to extend hands-on delivery capacity. The successful candidate is part strategist, part change agent, and part technologist. Equally credible challenging the senior leadership team on how AI changes the business and working alongside a team to advance a specific capability, they will define the multi-year vision, partner with functional leaders, and serve as Longroad’s lead AI evangelist. This role will be onsite and based in San Francisco, CA or Boston, MA.

Requirements

10+ years of professional experience, with significant time leading enterprise strategy, business transformation, or large-scale change programs.
Demonstrated track record as a transformation leader — proven ability to drive durable change in how a business operates, build executive alignment, and sustain behavior change across functions.
Broader technology leadership experience or exposure across enterprise data infrastructure, operational technology, or IT governance, with interest in growing into a broader technology leadership mandate over time.
Hands-on fluency with leading frontier LLM platforms (Claude strongly preferred), including practical experience with prompt design, agents and skills, and integration patterns.
Strong strategic thinking and executive presence — equally credible challenging the CEO and senior leaders and working alongside a team to advance a specific use case.
Excellent written and verbal communication, with a teaching and coaching instinct.
Comfort operating as a department of one in the early phase, with the judgment to know when to build, buy, or partner.

Nice To Haves

Experience leading technology-based transformation engagements, or in an internal transformation role at a comparable enterprise
Prosci Change Management Certification or PMP Certification
AWS Machine Learning Certification
Experience in the renewable energy industry (development, project finance, asset management, or operations).
Familiarity with the document and data ecosystems common to our industry: PPAs, tax equity term sheets, interconnection queues, GIS/KMZ data, permit filings, and ISO/RTO datasets.
Exposure to AI governance topics: data privacy, model evaluation, third-party risk, and responsible-use frameworks.
Experience designing and leading enablement programs such as ambassador networks, communities of practice, or internal certifications.

Responsibilities

Lead an enterprise-wide assessment of Longroad’s current AI usage, capability gaps, governance processes, and high-value transformation opportunities.
Develop and steward Longroad’s multi-year AI strategy, including platform standards, build-vs-buy decisions, operating-model implications, and a prioritized investment roadmap aligned to company strategy across commercial, operating, and back-office priorities.
Partner with the senior leadership team to identify where AI fundamentally changes how Longroad works — what gets done, by whom, how, and at what cost — and translate that into concrete workflow redesigns and capability shifts.
Push the organization beyond incremental tool use to durable changes in operating model and talent density.
Serve as Longroad’s senior change agent for AI transformation in partnership with Human Resources.
Define and execute a change management plan that brings employees along, builds AI fluency, and addresses the cultural, organizational, and workflow change required to realize value, anticipating and removing barriers along the way.
Serve as Longroad’s lead AI evangelist and trusted advisor to the senior leadership team and department leaders.
Translate a rapidly evolving AI market into pragmatic, Longroad-specific recommendations that drive business value.
Challenge leaders constructively where AI changes the right answer.
Own the enterprise AI tool stack in coordination with the broader IT organization and develop working fluency across Longroad's broader technology portfolio — data infrastructure, operational systems, and SCADA — to ensure AI strategy is built on and aligned with the company's full technology landscape.
Standardize on a primary platform (Claude is the current direction), rationalize redundant tooling, and establish guardrails for data handling, vendor due diligence, model selection, and acceptable use — aligned with Longroad’s information security, data, and infrastructure standards.
Evaluate and govern agentic AI deployments, including multi-step workflows, tool-use patterns, and human-in-the-loop design — with particular attention to operational and SCADA-adjacent contexts where reliability and auditability requirements are high.
Partner with leaders across project finance, investments, asset management, operations, legal, corporate development, regional development, planning, HR, and finance to identify and deliver high-impact use cases.
Provide hands-on coaching and demonstration support where it accelerates value, while building the surrounding teams’ capacity to deliver on their own.
Establish the foundation for Longroad’s AI enablement program — including role-based learning paths, an internal community of practice, and an AI ambassadors’ network — so transformation is owned across the business rather than dependent on a single individual.
Define how Longroad measures AI transformation and value — emphasizing business outcomes (cycle-time, decision quality, capacity unlocked) over surface usage metrics.
Report to the VP of IT and senior leadership on a regular cadence and adjust the strategy as the technology and the business evolve.