Program Manager - AI Programs

Location: Remote (Onshore USA)
Employment Type: Contract
Experience Required: 8+ Years
Positions: 1

We are seeking an experienced Program Manager AI Programs to lead the planning, execution, and governance of enterprise Artificial Intelligence (AI) transformation initiatives. This role will oversee complex, cross-functional programs involving business stakeholders, product teams, AI engineers, architects, infrastructure teams, and external partners to ensure successful delivery of strategic AI solutions.

The ideal candidate will possess a strong background in enterprise program management, Project Management Office (PMO) governance, digital transformation, and AI-enabled initiatives. This individual will be responsible for managing multiple concurrent workstreams, ensuring alignment with business objectives, mitigating risks, and driving successful outcomes from strategy through production deployment.

• 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.
• Coordinate multiple interdependent projects and manage program-level dependencies.

• 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.

• 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.

• 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.

• 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.

• Minimum 8+ years of experience in Program Management, Project Management, or PMO leadership.
• Proven experience managing large-scale enterprise technology transformation programs.
• Experience leading Artificial Intelligence (AI), Machine Learning, Digital Transformation, or Enterprise Technology initiatives.
• Strong knowledge of PMO governance, portfolio management, and program delivery methodologies.
• Experience managing cross-functional teams across business and technology organizations.
• Strong expertise in project planning, budgeting, scheduling, resource management, and risk management.
• Experience with Agile, Scrum, Waterfall, or hybrid delivery methodologies.
• Excellent executive communication, stakeholder management, and leadership skills.
• Strong analytical, organizational, and decision-making abilities.
• Bachelor's degree in Business, Information Technology, Engineering, Computer Science, or a related field.