Education

• Bachelor’s degree in Computer Science, Information Technology, Data, Engineering, Business, or related field, or equivalent practical experience
• Microsoft AI, Azure, Power Platform, or Copilot Studio certification
• Training in responsible AI, data governance, product management, agile delivery, or enterprise architecture
  

Experience

• 8-10+ years in AI, enterprise platforms, data, automation, software delivery, or digital transformation
• 2+ years of hands-on experience building AI agents, automations, copilots, Retrieval-Augmented Generation (RAG) solutions, or AI-enabled workflow tools
• 3–5+ years of experience leading, coaching, and mentoring teams
• Experience leading enterprise-scale AI or technology initiatives across multiple business units
• Experience influencing senior leaders and working within executive-sponsored programs
• Experience with Microsoft AI tools including Copilot Studio, Azure AI, Azure OpenAI, Power Platform, SharePoint, Teams, and Microsoft Graph
• Experience working in a governed enterprise environment with Architecture, Security, Legal, Compliance, Data, and business stakeholders
• Experience owning or contributing to enterprise governance frameworks or operating models
• Experience standing up a CoE, platform team, product function, or internal product operating model
• Retail or multi-site experience strongly preferred
  

Skills

• Translate business problems into AI opportunities, solution requirements, and adoption plans
• Manage product intake, roadmap prioritization, enablement planning, pilot execution, adoption, and value tracking
• Define enterprise AI strategy, operating models, and adoption frameworks
• Apply knowledge of Microsoft Copilot, Copilot Studio, Azure AI, Power Platform, and enterprise data sources
• Apply sound judgment on responsible AI, data privacy, access controls, prompt security, and cost management
• Communicate effectively with and influence senior and executive stakeholders
  

Responsibilities

• Own AI CoE product intake, roadmap prioritization, enablement planning, pilot execution, adoption, and value tracking
• Lead AI CoE initiatives at enterprise scale across multiple business units
• Define and own the AI CoE operating model including governance, intake, and platform reuse
• Partner with business and senior leadership to identify AI use cases tied to productivity, operational improvement, risk reduction, and decision-making
• Serve as a trusted advisor to senior leadership on AI enablement, investment prioritization, and governance
• Guide design and rollout of AI-enabled solutions using Microsoft AI platforms and enterprise data sources
• Determine optimal delivery path across native platforms, CoE-built solutions, architecture support, and third-party tools
• Partner with Architecture, Security, Legal, and Data teams to ensure solutions are secure, governed, and supportable
• Establish guardrails for data privacy, access controls, prompt security, cost management, and responsible AI use
• Define enterprise-level success measures including adoption, productivity impact, cycle-time reduction, and ROI
• Build and scale repeatable enablement patterns, intake templates, adoption playbooks, and governance mechanisms
• Manage relationships with strategic partners supporting AI platform and delivery
• Lead and develop team members
  

Physical Requirements & Attendance

• Acceptable level of hearing and vision to perform job duties
• Adhere to company work hours, policies, procedures, and rules governing professional staff behavior
• Regular in-office attendance is required