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Essential Functions:

• 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 definedobjectives,requireddata payloads, and expected business ROI - producing standardized Business Case Briefs for theAI StudioLeadtoreview forGo/No-Go decisions.
  Partner with theAI StudioLeadto 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 effortsremainfocused 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 -identifyingUX friction, edge cases, and real-world workflow complexities that technical teams might miss.
  Coordinate user acceptance testing for AI solutions under development,validatingthat what gets deployedactually solvesthe 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 useradoptionmetrics 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 operatorsencounteringAI 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 thatgrowswith each deployment andreducesramp-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 thatdemonstratesthe Studio's value to BAA leadership.
  Prepare impact summaries for theAI Studio Leadand 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 processestablishedand communicated to BAA leadership.
  Completedan 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 partnersidentifiedin priority departments to support the Studio's first pilot -layingthe 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 leadersregardingthe AI Studio's partnership and communication.
  AI Champions networkidentifiedand 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 templatesestablishedas assets for future deployments.
  Recognized across BAA as the go-to person for "I have a problem - can AI help with this?"

Knowledge, Skills, Abilities:

• 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 anda natural instinctforidentifyingoperational 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 isfeasible, what is valuable, and what is overhyped.

• Experience with ERP systems (Epicor preferred), CRM platforms (Salesforce), or business intelligence tools.

• Experience building training programs orenablementcontent for diverse, non-technical audiences.

• Comfortable utilizing modern enterprise software and eager to learn internal AI toolsets (no coding experience required).

MinimumRequirements:

• Bachelor's degree and minimum of 4 years of related work experiencerequired.

• 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-withdemonstratedexperience translating between business stakeholders and technical teams.