AI Adoption and Implementation Lead

Job Description

The AI Adoption & Implementation Lead is responsible for identifying, prioritizing, and delivering practical AI solutions across Alto-Shaam. Reporting to the VP of Technology, this role partners with all departments to evaluate high-impact opportunities, align them with appropriate tools and platforms, and lead end-to-end execution from pilot to full deployment. As a key member of the AI Leadership Team, this individual helps drive enterprise-wide AI strategy and adoption.

This is a highly hands-on role, requiring both strategic vision and technical execution. Success is measured by delivering scalable, user-adopted AI solutions that generate tangible business value.

The ideal candidate for an AI Adoption and Implementation Lead would be able to do the following

• Opportunity Discovery & Prioritization
  • Lead structured working sessions with cross-functional leaders (Finance, Operations, Engineering, Sales, HR, Customer Service) to identify process inefficiencies and high-impact AI opportunities.
  • Support the AI Steering Committee in building and maintaining a prioritized, enterprise-wide AI opportunity backlog.
  • Develop and present clear, actionable AI roadmaps to the VP of Technology and executive team, including recommendations on build, buy, or configure approaches.
  • Continuously evaluate emerging AI tools, platforms, and use cases, ensuring alignment with manufacturing and mid-market business needs.
• Implementation & Execution
  • Lead end-to-end delivery of AI initiatives, including requirements gathering, tool/vendor selection, configuration or development, testing, deployment, and post-launch monitoring.
  • Integrate AI solutions into existing enterprise systems such as Oracle Fusion Cloud (ERP/SCM/Finance), Microsoft 365, SharePoint, CRM, and MES platforms.
  • Design, build, and maintain AI-driven workflows, including LLM agents, copilots, retrieval-augmented generation (RAG) systems, and intelligent automation solutions.
  • Establish and refine prompt engineering standards and evaluation frameworks; continuously improve solutions based on user feedback and performance metrics.
  • Own delivery timelines and milestones, partnering with project managers to execute work, proactively mitigate risks, and resolve blockers.
  • Serve as an AI subject matter expert and advocate, supporting change management efforts and translating technical concepts into practical business value across all levels of the organization.
  • Partner with leadership to identify and develop a network of departmental AI Champions to drive adoption within each function.
  • Design and deliver role-based AI training, including workshops, playbooks, and best-practice guidance for end users.
  • Track, measure, and report on adoption, user satisfaction, and business impact of deployed AI solutions.
• Governance, Security & Ethics
  • Develop, implement, and maintain AI governance frameworks, including Acceptable Use Policy, Data Classification Guidelines, and Prompt Engineering Standards.
  • Maintain an AI risk register, proactively identifying and mitigating risks related to data privacy, hallucinations, intellectual property, and regulatory compliance.
  • Ensure all AI solutions adhere to organizational security standards and align with established IT governance processes.
  • Collaborate with IT, Legal, and HR to address AI-related policy, compliance, and ethical considerations.
  • Evaluate, select, and recommend AI tools, platforms, and vendors aligned to business needs.
  • Manage and evolve the enterprise AI technology stack, balancing cost, security, scalability, and integration complexity.
  • Provide ongoing insights to the VP of Technology on emerging AI trends, competitive applications, and potential risks.
• Measurement & Reporting
  • Define and advise on key performance indicators (KPIs) to measure AI adoption, usage, and business impact.
  • Deliver regular program updates to Technology leadership, including project status, pilot progress, adoption metrics, and spend.
  • Continuously refine AI solutions using performance data, analytics, and user feedback to maximize value and effectiveness.

• • Bachelor’s degree in Information Technology, Computer Science, Engineering, Business…