Own Enterprise AI Platform Strategy and Roadmap
Own the enterprise AI platform ecosystem, including platform selection, standards, configurations, governance requirements, and roadmap planning. Define and maintain enterprise AI platform strategy while evaluating emerging technologies and capabilities. Partner with technical and business stakeholders on build-versus-buy decisions and ensure alignment with enterprise architecture standards, security requirements, and long-term business objectives.
Establish and Scale the AI Factory Operating Model
Lead the development and continuous improvement of the enterprise AI Factory capability by creating reusable templates, patterns, accelerators, tooling, and deployment frameworks that enable rapid and repeatable AI solution delivery. Ensure new AI agents and solutions can be deployed through standardized approaches rather than bespoke development efforts. Drive consistency, scalability, and maintainability across multiple teams and business functions.
Define Enterprise AI Decision Frameworks and Standards
Serve as the enterprise subject matter expert for AI platform selection and usage patterns. Establish decision frameworks and standards that guide when technologies such as Copilot, Copilot Studio, Azure AI, Databricks/Genie, Claude, Gemini, and other AI tools should be utilized. Develop and communicate enterprise guidelines that clarify when AI solutions are appropriate, when advanced AI platforms are justified, and when traditional solutions may better meet business requirements.
Lead Cross-Functional Technical Platform Initiatives
Guide cross-functional teams including Function AI Leads, Product Management, Engineering, Data & Platform teams, Operations, Governance, and Security stakeholders to align on platform capabilities, adoption strategies, and technical decisions. Coordinate dependencies, manage risks, and ensure technical standards are consistently applied across AI initiatives. Break down complex platform challenges into executable workstreams and drive delivery against established objectives.
Govern Platform Controls, Telemetry, and Adoption
Establish and oversee platform-level controls, monitoring, telemetry, usage analytics, and governance mechanisms to ensure secure, compliant, and effective AI adoption. Partner with Governance and Security teams to implement enterprise controls and reporting capabilities. Ensure platform metrics, usage visibility, and operational insights support enterprise governance requirements and continuous improvement efforts.
Influence AI Architecture and Long-Term Solution Design
Collaborate with Enterprise Architecture and Data & Platform teams to evaluate platform capabilities, solution patterns, integrations, and architectural approaches. Provide technical leadership regarding scalability, security, performance, supportability, and maintainability considerations. Balance short-term delivery priorities with long-term architectural goals and platform sustainability.
Support Platform Readiness and Solution Deployment
Partner with Product Managers and delivery teams to ensure AI platforms are ready to support roadmap priorities and business initiatives. Define platform readiness criteria, support implementation planning, validate non-functional requirements, and oversee the transition of AI capabilities into operational environments. Ensure platforms deliver measurable business value and maintain operational reliability.
