Program Manager - AI Programs

Key Responsibilities

• Lead the end-to-end delivery of enterprise AI transformation programs across multiple business units.
• Develop comprehensive program plans, schedules, milestones, budgets, and resource strategies.
• Establish governance frameworks to ensure successful execution and alignment with organizational objectives.
• Drive strategic planning, prioritization, and execution of AI initiatives across cross-functional teams.
• Cook up coordination of multiple interdependent projects and manage program-level dependencies.

Project & PMO Management

• Oversee program governance, risk management, issue resolution, and executive reporting.
• Develop and maintain program dashboards, KPIs, status reports, and executive presentations.
• Ensure compliance with PMO standards, project methodologies, and organizational governance processes.
• Monitor budgets, timelines, scope, and resource allocation to ensure successful program delivery.
• Facilitate steering committee meetings, governance reviews, and executive decision-making sessions.

Cross-Functional Collaboration

• Collaborate with business leaders, Product Owners, AI architects, engineering teams, infrastructure teams, security, and operations.
• Coordinate infrastructure readiness, environment provisioning, API approvals, deployment schedules, and production releases.
• Manage communication across technical and business teams to ensure alignment throughout the program lifecycle.
• Build strong relationships with internal stakeholders, vendors, and external partners.

AI Transformation Delivery

• Support the execution of enterprise AI, Machine Learning, and Generative AI initiatives.
• Ensure AI programs align with business strategy, operational goals, and customer value.
• Monitor program performance using business and technical KPIs.
• Drive organizational change management, user adoption, and communication strategies for AI initiatives.
• Identify opportunities for continuous improvement and operational efficiency across AI programs.

Risk & Quality Management

• Identify program risks, dependencies, and potential roadblocks.
• Develop mitigation strategies and contingency plans to minimize delivery risks.
• Ensure quality standards, compliance requirements, and security considerations are incorporated throughout program execution.
• Promote continuous improvement of delivery methodologies and governance practices.