Director, AI Strategy & Transformation; Onsite
Listed on 2026-06-14
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Software Development
AI Engineer (Applied/Software)
About Longroad Energy
Longroad Energy is a Boston, MA headquartered renewable energy developer focused on the development, ownership, and operation/asset management of wind and solar energy projects throughout North America. Founded in 2016, Longroad owns 4.5 GW of wind and solar projects across the United States in addition to operating and managing a total of 6.2 GW of wind and solar projects on behalf of Longroad and third parties.
Our vision is to create lasting value for our shareholders, communities, and employees by responsibly developing, owning, and operating renewable energy projects. We have assembled a world‑class team with a passion for renewable energy innovation and a commitment to developing renewable projects throughout the US.
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.
Responsibilities- Enterprise Strategy & Assessment:
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. - AI-Driven Business Transformation:
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. - Change Management & Cultural Adoption:
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. - Evangelism & Executive Advisory:
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. - Tooling, Standards & Governance:
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…
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