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.

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.

Vendor & Technology Management

• 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.