Job Description
AI Technical Program Manager (AI TPM)
Locations: Edina, MN || Chicago, IL || Irving, TX (Hybrid – 3 days onsite per week)
CTH
Position Overview:
- We are seeking an experienced AI Technical Program Manager (AI TPM) to drive the execution and delivery of complex enterprise AI initiatives. The AI TPM will work closely with engineering, product, architecture, platform, security, and business teams to coordinate cross-functional programs, manage dependencies and risks, and ensure successful delivery of AI/ML and Generative AI solutions.
- The ideal candidate combines strong technical program management expertise with a solid understanding of AI/ML, GenAI, agentic AI, cloud platforms, APIs, software development lifecycles, and enterprise architecture.
Key Responsibilities:
- Lead and manage complex, cross-functional AI/ML, GenAI, and agentic AI programs from planning through delivery.
- Develop and maintain program plans, milestones, schedules, dependencies, deliverables, and execution roadmaps.
- Drive alignment across engineering, product, architecture, platform, security, data, and business stakeholders.
- Identify, track, and proactively mitigate program risks, issues, dependencies, and blockers.
- Facilitate technical discussions and translate complex technical concepts into clear program-level objectives and outcomes.
- Coordinate multiple engineering and technology teams to ensure timely delivery of program milestones.
- Establish program governance, status reporting, communication plans, and executive-level updates.
- Work closely with product and engineering leadership to prioritize initiatives and manage competing requirements.
- Support AI governance, AI lifecycle management, responsible AI, and enterprise AI adoption initiatives.
- Ensure programs follow established SDLC, Agile, security, architecture, and technology governance processes.
- Track technical deliverables involving APIs, cloud platforms, data platforms, AI/ML systems, and enterprise integrations.
- Identify opportunities to improve program execution, processes, delivery methodologies, and cross-team collaboration.
- Manage program documentation, decision logs, action items, and stakeholder communications using tools such as Azure DevOps (ADO), Jira, Confluence, or similar platforms.