Responsibilities

• Manage project scope, timelines, budgets, risks, dependencies, and resource planning across multiple AI workstreams
• Coordinate cross-functional teams including AI engineering, infrastructure, security, compliance, enterprise applications, and business stakeholders
• Drive implementation planning, environment readiness, deployment coordination, and rollout governance activities
• Facilitate integration planning between AI platforms and enterprise systems including collaboration, workflow, and productivity tools
• Establish governance mechanisms including steering meetings, status reporting, RAID logs, and executive communications
• Ensure AI implementations align with enterprise security, compliance, and responsible AI governance standards
• Support vendor coordination, implementation planning, onboarding activities, and issue resolution for AI platforms
• Manage Agile and hybrid delivery models including sprint coordination, release tracking, and milestone management
• Track adoption metrics, rollout KPIs, operational readiness, and business value realization
• Collaborate with vendor, architecture, and cybersecurity teams to support AI risk mitigation and operational controls
• Drive continuous improvement initiatives related to AI operationalization, automation, and enterprise rollout processes