AI Program Lead: Enterprise Delivery & Governance

Hydrogen Group

San Diego (CA)

Hybrid

USD 149,000 - 156,000

Part time

47 hours ago

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Job summary

Hydrogen Group is seeking an AI Project Manager for a hybrid role in San Diego, CA. This 6-month contract requires delivering enterprise AI initiatives from intake to production, coordinating cross-functional teams and governance.

Responsibilities include managing AI roadmaps, vendor/SOW oversight, adoption planning, and executive-status reporting. Candidates should have strong PM skills and hands-on AI delivery experience in regulated environments.

Qualifications

Bachelor's degree in a related field.
5+ years managing technical delivery or enterprise technology projects.
Experience leading AI or ML initiatives from concept through production at enterprise scale.
Direct experience delivering generative AI initiatives such as enterprise search, document intelligence, or conversational assistants.
Practical experience delivering agentic AI or multi-step automation capabilities.
Experience in regulated environments with Legal, Security, and Compliance approvals.
Experience with vendor management, SOW administration, or contract management.

Responsibilities

Manage delivery from intake through pilot and production deployment.
Maintain scopes, milestones, dependencies, risks, decisions, and launch plans.
Establish a transparent prioritization model connecting business value, delivery requirements, and available pod capacity.
Document and communicate roadmap changes, prioritization decisions, and scope adjustments.
Coordinate AI Policy Review Committee submissions and ensure governance activities are completed on schedule.
Engage Legal, Security, IT, Compliance, and other governance stakeholders early in the project lifecycle.
Evaluate AI workflows to determine which processes are appropriate for autonomous or agentic execution.
Define human review checkpoints, escalation paths, monitoring requirements, guardrails, and rollback procedures for agentic AI solutions.
Coordinate implementation across enterprise AI and automation platforms and technical teams.
Monitor vendors and implementation partners to ensure delivery aligns with SOW requirements and timelines.
Establish pilot programs and measure utilization and adoption against defined targets.
Coordinate enablement activities alongside AI literacy initiatives.
Track and report production adoption rather than deployment metrics.
Develop executive-level status reports and steering materials.