AI Lead

Title: AI Lead

Location:
Raleigh, NC

The AI Lead will own the AI Solutions & Automation pillar of the CBS Digital Transformation & AI Enablement organization. This role is responsible for translating high-value business opportunities into practical, scalable AI solutions, intelligent automation, copilots, agents, and workflow-enabled capabilities across engineering, operations, quality, supply chain, finance, and commercial functions.

The AI Lead will partner closely with the Information Systems Lead, Transformation PMO, corporate IT/security, implementation partners, and Federated Center of Excellence functional champions. The role is focused on AI solution strategy, solution design, automation enablement, governance, deployment, adoption, and value realization. Data platform architecture, source-system onboarding, and core data pipelines will be owned by the IS/Data team, with the AI Lead responsible for ensuring AI solutions are built on trusted, governed, and reusable data assets.

• Lead the CBS AI Solutions & Automation roadmap, including practical AI use cases, copilots, agents, intelligent applications, and workflow-enabled business solutions.
• Partner with the Transformation PMO and Federated Center of Excellence to define, prioritize, and manage the AI/automation use-case pipeline based on business value, feasibility, data readiness, adoption risk, and governance requirements.
• Translate business problems into scalable AI solution concepts, including requirements, solution patterns, success measures, adoption approach, and sustainment expectations.
• Lead the design and deployment of AI-enabled solutions such as knowledge assistants, engineering productivity tools, document summarization, classification, risk summaries, anomaly detection support, and agentic workflows.
• Partner with the IS Lead and Data Engineer to assess data readiness, define required data products, and ensure AI solutions are connected to trusted, governed, and secure data sources.
• Define reusable AI solution patterns, prompt/agent design standards, solution templates, documentation practices, and deployment playbooks to avoid one-off experimentation.
• Evaluate and guide the use of approved AI and automation platforms such as ChatGPT Enterprise, Microsoft Copilot, Claude Code, Azure AI, Microsoft Fabric, Databricks AI, Power Platform, and related tools.
• Partner with corporate IT, cybersecurity, legal/compliance, and data owners to establish responsible AI guardrails, IP protection, access controls, model usage standards, and approval processes.
• Lead or coordinate external partners and vendors supporting AI solution design, automation delivery, AI governance, and technical implementation work streams.
• Support pilots, user testing, training, deployment, and adoption in partnership with functional leaders, the Transformation PMO, and Federated Center of Excellence champions.
• Track adoption, utilization, productivity impact, and business value of deployed AI solutions in partnership with the Transformation PMO and Finance.
• Build capability within the organization by coaching business users, functional champions, and technical team members on effective and responsible AI usage.
• Travel as required to support global operations, deployment activities, and business transformation initiatives.
• Perform other duties and responsibilities as required to support the growth and success of the business.

• BS in Information Systems, Computer Science, Engineering, Data Science, Business Analytics, or related field; advanced degree preferred but not required.
• 7-10+ years of experience in digital transformation, applied AI, automation, analytics, enterprise systems, or technology-enabled business transformation, preferably within a manufacturing or engineering environment.
• Demonstrated experience translating business problems into practical AI, automation, analytics, or digital solutions that are deployed into real workflows.
• Working knowledge of generative AI, large language models, copilots, agents, prompt/agent design, retrieval augmented generation (RAG), enterprise search, document intelligence, model evaluation, and AI governance concepts.
• Experience with one or more platforms such as Azure AI, ChatGPT Enterprise, Microsoft Copilot, Claude, Microsoft Fabric, Databricks, Power Platform, Logic Apps, or comparable enterprise AI/automation technologies.
• Strong understanding of data readiness, data governance, secure access, and the dependency of AI solutions on trusted data foundations.
• Experience with workflow automation, API-enabled solutions, low-code/no-code platforms, or business-process automation strongly preferred.
• Strong business process orientation, with the ability to understand engineering, operations, quality, supply chain, finance, and commercial workflows.
• Experience developing governance, adoption, training, and value-tracking practices for new digital capabilities.
• Strong leadership, communication, stakeholder management, and…