AI Adoption and Implementation Lead

Alto-Shaam•Menomonee Falls, WI

About The Position

The AI Adoption and Implementation Lead identifies, prioritizes, and delivers practical AI solutions across Alto-Shaam. Reporting to the VP of Technology, the role partners with departments to assess high-impact opportunities, select appropriate tools and platforms, and lead initiatives from pilot through full deployment. As a member of the AI Leadership Team, the Lead contributes to enterprise-wide AI strategy and adoption. This hands-on role combines strategic planning with technical execution, with success measured by scalable, user-adopted solutions that deliver tangible business value. The role discovers and prioritizes AI opportunities, develops roadmaps, and leads implementation and integration with enterprise systems. It designs and maintains AI-driven workflows such as LLM agents, copilots, retrieval-augmented generation systems, and intelligent automation. The Lead also advances adoption through change management, departmental AI Champions, end-user training, and measurement of usage and business impact. The position develops AI governance and risk-management practices, ensuring solutions align with security standards, IT governance, and relevant policy, compliance, and ethical considerations. It evaluates vendors and technology platforms, manages the enterprise AI technology stack, and reports on program progress, adoption, performance, and spend.

Requirements

Bachelor’s degree in Information Technology, Computer Science, Engineering, Business Technology, or a related field, or equivalent practical experience.
3–5 years of progressive experience in systems integration, automation, software development, or AI implementation.
Proven ability to deliver AI or automation solutions in a business environment from pilot through full production deployment.
Hands-on experience with large language models (LLMs), AI-enabled workflows, and prompt engineering best practices.
Experience integrating AI solutions with enterprise platforms through APIs, such as ERP, CRM, or SharePoint systems.
Strong communication skills and ability to explain complex AI concepts to technical and non-technical audiences, from frontline employees to executive leadership.
Demonstrated project management capability, including leading cross-functional initiatives and driving outcomes without direct authority.

Responsibilities

Lead cross-functional working sessions to identify process inefficiencies and high-impact AI opportunities.
Support the AI Steering Committee in maintaining a prioritized, enterprise-wide AI opportunity backlog.
Develop and present AI roadmaps, including build, buy, or configure recommendations, to the VP of Technology and executive team.
Evaluate emerging AI tools, platforms, and use cases for alignment with manufacturing and mid-market business needs.
Lead end-to-end AI initiative delivery, including requirements gathering, tool and vendor selection, configuration or development, testing, deployment, and post-launch monitoring.
Integrate AI solutions with enterprise systems, including Oracle Fusion Cloud, Microsoft 365, SharePoint, CRM, and MES platforms.
Design, build, and maintain AI-driven workflows, including LLM agents, copilots, RAG systems, and intelligent automation solutions.
Establish prompt engineering standards and evaluation frameworks, and improve solutions using user feedback and performance metrics.
Own delivery timelines and milestones; partner with project managers to execute work, mitigate risks, and resolve blockers.
Serve as an AI subject matter expert and advocate, translating technical concepts into practical business value and supporting change management.
Partner with leadership to develop departmental AI Champions.
Design and deliver role-based AI training, workshops, playbooks, and best-practice guidance for end users.
Track and report on adoption, user satisfaction, and business impact of deployed AI solutions.
Develop, implement, and maintain AI governance frameworks, including an Acceptable Use Policy, Data Classification Guidelines, and Prompt Engineering Standards.
Maintain an AI risk register and identify and mitigate risks involving data privacy, hallucinations, intellectual property, and regulatory compliance.
Ensure AI solutions adhere to organizational security standards and established IT governance processes.
Collaborate with IT, Legal, and HR on AI-related policy, compliance, and ethical considerations.
Evaluate, select, and recommend AI tools, platforms, and vendors aligned with business needs.
Manage and evolve the enterprise AI technology stack, balancing cost, security, scalability, and integration complexity.
Provide the VP of Technology with insights on emerging AI trends, competitive applications, and potential risks.
Define and advise on KPIs for AI adoption, usage, and business impact.
Deliver regular program updates to Technology leadership, covering project status, pilot progress, adoption metrics, and spend.
Refine AI solutions using performance data, analytics, and user feedback to maximize value and effectiveness.