AI Adoption and Implementation Lead

Alto-Shaam • Menomonee Falls, WI

6h

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, align them with suitable tools and platforms, and lead delivery from pilot through full deployment. As a member of the AI Leadership Team, the role contributes to enterprise-wide AI strategy and adoption. It combines strategic planning with hands-on technical execution, with success measured by scalable, user-adopted AI solutions that generate tangible business value.

The Lead drives opportunity discovery and prioritization, manages end-to-end implementation, and integrates AI into existing enterprise systems. The role designs and maintains AI workflows such as LLM agents, copilots, retrieval-augmented generation systems, and intelligent automation. It also establishes AI governance and risk practices, evaluates and manages vendors and technology, supports organizational change and training, and measures adoption and business impact.

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, AI-enabled workflows, and prompt engineering best practices.
• Experience integrating AI solutions with enterprise platforms via APIs, such as ERP, CRM, SharePoint, or similar systems.
• Strong communication skills and ability to translate complex AI concepts for 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 structured working sessions with cross-functional leaders 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 actionable AI roadmaps, including build, buy, or configure recommendations.
• Evaluate emerging AI tools, platforms, and use cases for alignment with manufacturing and mid-market business needs.
• Lead AI initiatives from requirements gathering and tool or vendor selection through 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.
• Establish prompt engineering standards and evaluation frameworks, and improve solutions using user feedback and performance metrics.
• Own delivery timelines and milestones, collaborate with project managers, 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 a network of departmental AI Champions.
• Design and deliver role-based AI training, workshops, playbooks, and best-practice guidance.
• Track, measure, and report adoption, user satisfaction, and business impact of deployed AI solutions.
• Develop 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 related to data privacy, hallucinations, intellectual property, and regulatory compliance.
• Ensure AI solutions meet 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.
• Manage and evolve the enterprise AI technology stack while balancing cost, security, scalability, and integration complexity.
• Provide the VP of Technology with insights on 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 on project status, pilot progress, adoption metrics, and spend.
• Refine AI solutions using performance data, analytics, and user feedback.

What This Job Offers

• Job Type: Full-time