AI Program Manager

Qualifications

• Bachelor’s degree

• 5 + years of program/project management experience

• 2 + years managing AI/ML or data-driven initiatives

Responsibilities

• The AI Program Manager will lead a team of intermediate to experienced Digital Program Management professionals

• Sets objectives and manages planning, organizing, and controlling resources/processes to achieve project/program objectives within scope, time, quality, and budget constraints

• Program Strategy & Planning

• Define AI program roadmaps aligned with business objectives

• Develop program charters, milestones, and measurable success metrics (KPIs/OKRs)

• Identify dependencies, risks, and mitigation strategies

• Cross-Functional Leadership

• Coordinate across Data Science, ML Engineering, Product, Legal, Compliance, and IT teams

• Facilitate stakeholder alignment between technical and non-technical leaders

• Manage vendor and third-party AI solution partnerships

• Execution & Delivery

• Oversee end-to-end AI lifecycle: problem definition data preparation model development deployment monitoring

• Implement Agile or hybrid delivery frameworks

• Ensure production readiness, scalability, and governance

• Stakeholder Communication

• Provide executive-level updates on AI program progress

• Translate technical concepts into business impact narratives

• Partner with AI adoption and change management team to drive adoption across the organization

• 15 more items(s)

More job highlights

Job description

30201131

Florida, US

About this role

The AI Program Manager will lead a team of intermediate to experienced Digital Program Management professionals.

Sets objectives and manages planning, organizing, and controlling resources/processes to achieve project/program objectives within scope, time, quality, and budget constraints.

Key Responsibilities

• Program Strategy & Planning

• Define AI progra...m roadmaps aligned with business objectives.

• Develop program charters, milestones, and measurable success metrics (KPIs/OKRs).

• Identify dependencies, risks, and mitigation strategies.

• Cross-Functional Leadership

• Coordinate across Data Science, ML Engineering, Product, Legal, Compliance, and IT teams.

• Facilitate stakeholder alignment between technical and non-technical leaders.

• Manage vendor and third-party AI solution partnerships.

• Execution & Delivery

• Oversee end-to-end AI lifecycle: problem definition data preparation model development deployment monitoring.

• Implement Agile or hybrid delivery frameworks.

• Ensure production readiness, scalability, and governance.

• Stakeholder Communication

• Provide executive-level updates on AI program progress.

• Translate technical concepts into business impact narratives.

• Partner with AI adoption and change management team to drive adoption across the organization.

Required Qualifications

• Bachelor’s degree

• 5 + years of program/project management experience.

• 2 + years managing AI/ML or data-driven initiatives.

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, Data Science, Business, or related field.

• Strong understanding of:AI lifecycle

• ML/LLMOps concepts, Cloud platforms (AWS, Azure, or GCP)

• Experience with Agile, Scrum, SAFe, or similar methodologies.

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