AI Transformation Manager
Job in
Chicago, Cook County, Illinois, 60290, USA
Listed on 2026-09-10
Listing for:
RWE AG
Full Time
position Listed on 2026-09-10
Job specializations:
-
IT/Tech
AI Business & Operations, Change Management, IT Business Analyst, AI Evaluation -
Business
AI Business & Operations, Change Management, AI Evaluation
Job Description & How to Apply Below
Chicago, IL, US, 60654 Austin, TX, US, 78701
RWE Americas, LLC
To start as soon as possible, full time, permanent
Functional area: Corporate Development / Strategy;
Project Management
Remuneration: Exempt
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.
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 company wide 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
- 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…
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