AI Adoption & Change Manager

• Manage Intake & Business Translation 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.

• Ensure Solutions Meet Real Needs 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.

• Drive Grassroots Adoption & Change Management 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 - understanding that technology adoption is a human challenge, not a technical one. 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.

• Training & Enablement 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.

• Measure & Communicate Impact 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.

• What Success Looks Like - First 90 Days Formal intake and scoping process established and communicated to BAA leadership. Completed an initial "listening tour" across priority BAA functions - with documented findings on pain points and AI opportunities feeding directly into the Studio's use-case backlog. Change management and training plan drafted for the Studio's first major AI deployment. 1-2 key operational partners identified in priority departments to support the Studio's first pilot - laying the groundwork for a future AI Champions network.

• What Success Looks Like - First Year 2-4 high-impact AI solutions successfully deployed with sustained, measurable user adoption across targeted departments. Adoption rates of 70%+ achieved among target user groups, with documented intervention strategies where adoption initially lagged. High satisfaction and trust scores from business unit leaders regarding the AI Studio's partnership and communication. AI Champions network identified and activated - timed to align with successful deployments - actively surfacing high-quality use cases and supporting grassroots troubleshooting. A reusable library of training materials, quick-start guides, and communication templates established as assets for future deployments. Recognized across BAA as the go-to person for "I have a problem - can AI help with this?"

Do you have experience in User training (technical support)?, Do you have a Bachelor's degree?, * 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.

Preferred

• Experience 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).

Minimum 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.