Strategic AI Governance Leader - Control Tower

Lenovo; North Carolina; On-site; USD 150,000 - 190,000; Full time

Job summary

Lenovo is seeking a Senior Manager for AI Control Tower governance to lead enterprise agentic AI initiatives. You will ensure business justification, governance, and scalability across data and knowledge assets, while coordinating with DTIT on security, architecture, and operating models.

Your role requires guiding business units, defining enablement needs, and establishing clear ownership and metrics to realize value from AI deployments at scale.

Qualifications

• Experience in enterprise transformation and data/AI governance.
• Proven ability to translate business needs into structured AI, data, and knowledge requirements.
• Strong governance, operating models, and portfolio management background.
• 10+ years across business units and central IT.

Responsibilities

• Operate and evolve the AI Control Tower as the central coordination point for enterprise agentic AI initiatives.
• Establish and manage governance frameworks for AI agent intake, prioritization, risk assessment, lifecycle management, and change control.
• Coordinate with DTIT to ensure AI agents align with enterprise architecture, security, compliance, and operating model standards.
• Track and manage the enterprise portfolio of AI agents, including status, dependencies, reuse opportunities, and value realization.
• Engage business units to support AI agent design, development, piloting, testing, and adoption.
• Define training and enablement needs for AI agent deployment.
• Ensure clear ownership, success metrics, adoption readiness, and stakeholder alignment.

Skills

Executive communication

Stakeholder management

Governance

Portfolio management

AI governance

Education

Business degree with MIS or Computer Science background

Job description

Lenovo is seeking a Senior Manager for AI Control Tower governance to lead enterprise agentic AI initiatives. You will ensure business justification, governance, and scalability across data and knowledge assets, while coordinating with DTIT on security, architecture, and operating models.

Your role requires guiding business units, defining enablement needs, and establishing clear ownership and metrics to realize value from AI deployments at scale.