AI Adoption & Change Manager

BraunAbility•Winamac, IN

About The Position

This role serves as the primary point of contact for the AI Studio, managing the intake and scoping of new AI requests from department leaders. The AI Adoption & Change Manager will translate operational challenges into defined objectives, data requirements, and expected business returns, creating Business Case Briefs for review. They will partner with the AI Studio Lead to prioritize the AI project portfolio based on strategic value, data readiness, and organizational readiness, while maintaining the Studio's use-case backlog. This role ensures solutions meet real needs by acting as the Voice of the User, identifying potential issues, and coordinating user acceptance testing. They will gather and synthesize user feedback for continuous improvement and identify edge cases to ensure robust solutions for a large operation, including factory floor environments. Additionally, this role will lead the deployment and change management strategy for AI solutions, ensuring seamless integration into daily routines for both office staff and factory floor operators. They will monitor user adoption, intervene proactively when usage drops, and identify/support AI Champions to build a peer-to-peer advocacy network. Communication materials will be developed to make AI tools approachable. The role also involves designing and delivering practical training programs tailored to diverse audiences, leveraging internal AI tools to scale training output, and building a reusable library of training materials. Finally, they will define KPIs and measurement frameworks, track and report on business outcomes, and prepare impact summaries for leadership, aiming for sustained adoption rates of 70%+.

Requirements

Bachelor’s degree and minimum of 4 years of related work experience required. An equivalent combination of education and/or related work experience equal to 8 years will also be considered.
3+ years of experience in change management, process improvement, product management, or business analysis — with demonstrated experience translating between business stakeholders and technical teams.
Exceptional communication skills — written and verbal — with the proven ability to adjust your message for executive leadership, technical architects, and factory floor operators with equal effectiveness.
Deep empathy and a natural instinct for identifying operational friction.
A genuine curiosity about how work actually gets done on the floor versus how it is documented.
Proven ability to manage multiple projects simultaneously and drive cross-functional alignment without formal authority.
Experience with change management or technology adoption, particularly in environments with frontline or non-desk workers.
Self-directed and resourceful — in a three-person team, there is no one to hand things off to. You own your workstreams completely.

Nice To Haves

Driving technology adoption in a manufacturing, industrial, or operations environment with a significant frontline workforce.
Background in Lean, Six Sigma, or continuous improvement methodologies.
Familiarity with AI and automation concepts — not to build solutions, but to have informed conversations about what is feasible, what is valuable, and what is overhyped.
Experience with ERP systems (Epicor preferred), CRM platforms (Salesforce), or business intelligence tools.
Experience building training programs or enablement content for diverse, non-technical audiences.
Comfortable utilizing modern enterprise software and eager to learn internal AI toolsets (no coding experience required).

Responsibilities

Serve as the front door for the AI Studio — managing the intake and scoping of new AI requests from department leaders across BAA using structured discovery tools and guided frameworks.
Translate operational friction into clearly defined objectives, required data payloads, and expected business ROI — producing standardized Business Case Briefs for the AI Studio Lead to review for Go/No-Go decisions.
Partner with the AI Studio Lead to prioritize the AI project portfolio based on strategic value, data readiness, and organizational readiness.
Maintain the Studio's use-case backlog, ensuring the team's efforts remain focused on the highest-impact opportunities and that low-value requests are respectfully declined with clear rationale.
Serve as the Voice of the User throughout the development lifecycle — identifying UX friction, edge cases, and real-world workflow complexities that technical teams might miss.
Coordinate user acceptance testing for AI solutions under development, validating that what gets deployed actually solves the problem it was built for.
Gather and synthesize user feedback — both during development and post-deployment — to drive continuous improvement of AI solutions.
Identify edge cases and real-world exceptions that require guardrails or logic constraints, ensuring solutions are robust enough for a 1,200-person operation that includes factory floor environments.
Lead the deployment and change management strategy for all AI solutions, ensuring they fit seamlessly into the daily routines of both office staff and factory floor operators.
Monitor user adoption metrics and intervene proactively when usage drops.
Identify, cultivate, and support AI Champions within major business functions as the Studio matures and deployments gain traction — building a peer-to-peer advocacy network that surfaces new use cases organically.
Develop communication materials — quick-start guides, FAQs, short demos, floor signage — that make AI tools approachable and non-intimidating for all audiences.
Design and deliver practical, engaging training programs tailored to diverse audiences — from office-based teams comfortable with technology to factory floor operators encountering AI tools for the first time.
Leverage internal AI generation tools (Enablement Engine) to scale training output — spending time editing and delivering AI-drafted materials rather than writing every guide from scratch.
Build a reusable library of training materials, quick-start guides, and communication templates that grows with each deployment and reduces ramp-up time for future rollouts.
Define KPIs and measurement frameworks for each AI initiative before development begins — not after.
Track and report on business outcomes of deployed AI solutions, building a portfolio of documented results that demonstrates the Studio's value to BAA leadership.
Prepare impact summaries for the AI Studio Lead and BU President, connecting AI investments to business results in clear, non-technical language.
Target sustained adoption rates of 70%+ among target user groups for each deployed solution, with documented intervention strategies where adoption initially lags.