Director Artificial Intelligence

Job Title

Director Artificial Intelligence Leads the strategy, delivery, and adoption of AI and automation solutions across Coors Tek. This role is responsible for turning data, GenAI, and automation capabilities into practical tools that improve safety, quality, throughput, customer experience, and cost efficiency in a global advanced ceramics manufacturing environment. This role will have supervisory responsibilities for the automation team providing leadership for close integrations between AI, Agents and transactional system to system interactions.

The Director partners closely with IT, Operations, R&D, Finance, HR, and Commercial teams to build a scalable, secure AI and automation foundation that supports Coors Tek’s long‑term growth.

• Strategic Vision and Execution. Set and maintain the AI and automation roadmap aligned to Coors Tek’s business strategy, IT strategy, and key value streams (smart manufacturing, supply chain, commercial, and corporate functions). Prioritize a clear portfolio of use cases, balancing quick wins with multi‑year platform investments.
• Solution Delivery and Platforms. Oversee design and implementation of AI, GenAI, and automation solutions (e.g., copilots, machine learning models, RPA, workflow automation, intelligent document processing, MCP/A2A, etc.). Ensure these solutions integrate with core platforms such as SAP, MES, and the enterprise data platform.
• Data, Governance, and Risk Management. Partner with Data & Analytics, Cybersecurity, and Legal/Compliance to ensure responsible use of AI. Establish and run light‑weight governance for model lifecycle, security/privacy, regulatory considerations, and alignment with Coors Tek policies and standards.
• Monitoring the performance and suggests improvements. Define and track KPIs (e.g., hours saved, cycle time reduction, defect reduction, improved forecast accuracy, revenue impact). Regularly report outcomes and recommendations to IT and business leadership, adjusting priorities based on realized value and capacity.
• Change Management and Adoption. Establish end user integration and adoption strategies aligned with broader Coors Tek AI strategy to drive AI and automation literacy across Coors Tek through playbooks, training, and internal communities of practice. Work with HR and Communications to support adoption, clarify impacts on roles and skills, and highlight success stories from plants and functions.
• Leadership, Team, and Vendor Management. Lead a small, high‑impact internal team and coordinate external partners as needed. Manage relationships with key AI and automation vendors and systems integrators, ensuring Coors Tek gets both value and flexibility from its investments.

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field, or equivalent relevant experience.

• 10+ years of experience in IT, Data & Analytics, or Digital roles, including 3–5 years leading AI, data science, or intelligent automation initiatives.
• Experience in manufacturing or other asset‑intensive industries strongly preferred.
• Prior people leadership experience (direct or matrix) and experience working in a global organization are strongly preferred.

• Advanced AI / Automation Skills – Strong understanding of AI/ML (including GenAI), RPA, workflow automation, and integration patterns. Able to review solution designs and guide teams on architecture, security, and scalability.
• Strong Communication and Leadership Skills – Effective at translating technical concepts into clear business outcomes for plant managers, functional leaders, and executives. Experienced in leading cross‑functional initiatives and influencing without direct authority in a global setting.
• Strong Problem‑Solving and Analytical Skills – Comfortable breaking down complex operational and business challenges, using data to size opportunities and measure impact. Skilled in prioritizing initiatives under capacity and budget constraints.
• Relationship Building – Builds trusted partnerships with Operations, R&D, Finance, HR, and…