AI Adoption and Implementation Lead

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 a AI Adoption and Implementation Lead would be able to do the following

Opportunity Discovery & Prioritization

1. Lead structured working sessions with cross-functional leaders (Finance Operations Engineering Sales HR Customer Service) to identify process inefficiencies and high-impact AI opportunities.
2. Support the AI Steering Committee in building and maintaining a prioritized enterprise-wide AI opportunity backlog.
3. Develop and present clear actionable AI roadmaps to the VP of Technology and executive team including recommendations on build buy or configure approaches.
4. Continuously evaluate emerging AI tools platforms and use cases ensuring alignment with manufacturing and mid-market business needs.

Implementation & Execution

1. Lead end-to-end delivery of AI initiatives including requirements gathering tool/vendor selection configuration or development testing deployment and post-launch monitoring.
2. Integrate AI solutions into existing enterprise systems such as Oracle Fusion Cloud (ERP/SCM/Finance) Microsoft 365 SharePoint CRM and MES platforms.
3. Design build and maintain AI-driven workflows including LLM agents copilots retrieval-augmented generation (RAG) systems and intelligent automation solutions.
4. Establish and refine prompt engineering standards and evaluation frameworks; continuously improve solutions based on user feedback and performance metrics.
5. Own delivery timelines and milestones partnering with project managers to execute work proactively mitigate risks and resolve blockers.
6. 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.
7. Partner with leadership to identify and develop a network of departmental AI Champions to drive adoption within each function.
8. Design and deliver role-based AI training including workshops playbooks and best-practice guidance for end users.
9. Track measure and report on adoption user satisfaction and business impact of deployed AI solutions.

Governance Security & Ethics

1. Develop implement and maintain AI governance frameworks including Acceptable Use Policy Data Classification Guidelines and Prompt Engineering Standards.
2. Maintain an AI risk register proactively identifying and mitigating risks related to data privacy hallucinations intellectual property and regulatory compliance.
3. Ensure all AI solutions adhere to organizational security standards and align with established IT governance processes.
4. Collaborate with IT Legal and HR to address AI-related policy compliance and ethical considerations.

Vendor & Technology Management

1. Evaluate select and recommend AI tools platforms and vendors aligned to business needs.
2. Manage and evolve the enterprise AI technology stack balancing cost security scalability and integration complexity. 
3. Provide ongoing insights to the VP of Technology on emerging AI trends competitive applications and potential risks. Measurement & Reporting

Measurement & Reporting

1. Define and advise on key performance indicators (KPIs) to measure AI adoption usage and business impact.
2. Deliver regular program updates to Technology leadership including project status pilot progress adoption metrics and spend.
3. Continuously refine AI solutions using performance data analytics and user feedback to maximize value and effectiveness

Qualifications :

EDUCATION / SKILLS REQUIRED:

• Bachelors degree in Information Technology Computer Science Engineering Business Technology or a related field (or equivalent practical experience).
• 35 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 via APIs (e.g. ERP CRM SharePoint or similar systems).
• Strong communication skills with the ability to translate complex AI concepts for both 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.

Additional Information :

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Work :

No

Employment Type :

Full-time