AI Transformation Manager

RWE•Austin, TX

1d•$140,000 - $180,000•Onsite

About The Position

The AI transformation team, part of the broader Strategy department, leads the company's AI agenda from ambition setting through blueprinting (designing AI-enabled workflows) and execution. The team partners with the Executive Leadership Team (ELT) to define AI priorities and works closely with IT and business functions to deliver against the strategy. It also monitors the evolving AI landscape, translating emerging trends into actionable opportunities in collaboration with relevant business units.

Requirements

Bachelor’s degree in business, STEM, or related field required.
Minimum 5 years of relevant professional experience in technology adoption and enablement, learning & development, digital transformation, product or tools management, or related roles, with demonstrated experience driving end-user adoption of new technology across cross-functional teams
Hands-on proficiency with generative AI tools (e.g., Claude, LLM chat interfaces, Cowork), including practical experience building and configuring reusable prompts, skills, plug-ins, or lightweight AI tools to improve everyday workflows
Strong technology-adoption and enablement capability, translating new functionality into practical, department-specific solutions that improve existing workflows without requiring redesign, with a track record of driving end-user adoption and measurable outcomes
Skilled at developing clear enablement collateral - configuration guides, user documentation, and training content spanning foundational to advanced proficiency - tailored to varied audiences and technical comfort levels
Ability to design and run technology pilots, defining success criteria, gathering usage feedback, and converting results into practical scaling recommendations
Effective cross-functional collaboration and stakeholder management, partnering with departmental champions, Communications, and IT to drive alignment and adoption without formal authority
Working knowledge of AI concepts, generative AI, and digital product development sufficient to engage credibly with technical teams and departmental users and to contextualize business requirements
Solid project management discipline, managing own workstreams with minimal oversight while providing reliable support to broader program management and blueprinting efforts led by others
Strong written and verbal communication skills, including experience creating training materials, user-facing communications, and leader enablement resources
Proactive and impact-oriented, with high standards and the ability to iterate based on user feedback to deliver quality output
Independently drives progress in ambiguity, with strong ownership, follow-through, and the confidence to drive progress across multiple concurrent workstreams in ambiguous environments
Proficiency in standard productivity tools (e.g., Excel, PowerPoint) and collaboration and enablement platforms (e.g., SharePoint, MS Teams, Miro, or equivalent)

Nice To Haves

Experience in the power, utilities, or clean energy sector, including solid knowledge of clean energy technologies and renewable project development preferred

Responsibilities

Drive enterprise AI adoption, including the set of initiatives that embed AI tools into everyday knowledge work in each department. Includes designing, running, and evaluating AI pilots, defining success criteria and user personas, and translating results into go/no-go recommendations for program leadership
Partner with departments and departmental champions to develop department-specific standalone AI use cases, plug-ins, and skills (e.g., Legal, Controlling, Investment & Valuation, Engineering, Operations, etc), including owning requirements gathering, configuration, testing, and iteration in collaboration with technical teams and end users
Create and maintain enablement collateral for these department-specific tools, including configuration guides, user documentation, and training materials. Develop advanced and department-specific training content that builds on companywide foundational training
Equip departmental champions with practical materials, playbooks, and department adoption plans to reinforce and role-model AI tool use in their teams, driving sustained adoption of AI-enabled ways of working
Gather and synthesize adoption and usage feedback from office-work users, surfacing high-value use cases, friction points, and tool requests. Feed these insights into continuous improvement of department tools and enablement content
Partner with IT on prioritizing AI tool requests through the demand intake process, based on value, feasibility, and data readiness when internal technical resourcing is required
Provide hands-on support to the AI-enabled workflow re-design (“blueprinting”) workstream led by other AI Transformation colleagues, contributing to workflow re-design execution, workshop facilitation, and use-case funnel prioritization
Provide hands-on support to the program management workstream led by other AI Transformation colleagues, contributing to enterprise change management, program-level resource management, and portfolio analytics and KPI tracking