Remote AI Program Lead | Enterprise Delivery & Governance

CAI

Carson City (NV)

Remote

USD 110,000 - 124,000

Full time

2 days ago

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Job summary

CAI seeks an AI Program Manager to lead a portfolio of enterprise AI initiatives. You will drive cross-functional execution, governance, and delivery of business outcomes in a remote-capable, contract role.

The ideal candidate has 12+ years in program management, strong stakeholder skills, and hands-on experience with AI/ML concepts, data pipelines, and modern PM tools. This remote position emphasizes accountability and strategic execution.

Qualifications

Bachelor’s degree in Engineering, Computer Science, Business Administration, or a related field.
12+ years of program or project management experience in technology, data, digital transformation, or related environments.
Experience leading large-scale, cross-functional programs involving multiple stakeholders and competing priorities.
Demonstrated ability to engage, influence, and challenge senior leaders and executives.
Working knowledge of AI/ML concepts, data pipelines, and deployment considerations.
Experience using program and portfolio management tools such as Jira, Microsoft Project, Asana, or Smartsheet.
Familiarity with Agile methodologies and software development lifecycle practices.
Basic understanding of cloud platforms and IT infrastructure concepts.
Strong stakeholder management, communication, and executive presentation skills.
Proven problem-solving, decision-making, and organizational skills.
Ability to thrive in fast-paced, ambiguous environments and drive accountability without direct authority.

Responsibilities

Lead end-to-end delivery of complex, interdependent AI programs, ensuring alignment with business objectives, timelines, budgets, and quality expectations.
Partner with executive leadership to identify risks, drive critical decisions, remove obstacles, and maintain accountability across stakeholders.
Provide program-level reporting on status, risks, dependencies, and value realization to senior leadership.
Coordinate efforts across data scientists, engineers, business stakeholders, IT operations, security teams, and compliance partners.
Facilitate program kickoffs, steering committee meetings, and post-implementation reviews.
Assess incoming AI initiatives for feasibility, readiness, business value, and resource requirements.
Support portfolio prioritization activities by evaluating impact, complexity, risk, and organizational capacity.
Challenge scope, assumptions, and business cases to ensure realistic plans and measurable success criteria.
Establish governance frameworks, delivery methodologies, and operational processes that balance innovation, speed, compliance, and quality.
Serve as a liaison between AI and technology organizations to resolve technical and operational issues and improve service delivery.
Track and elevate infrastructure, platform, security, and operational roadblocks through resolution.