Facilitate Agile ceremonies for AI and ML engineering PODs, ensuring all teams follow established AI delivery frameworks and governance processes.
Coordinate planning activities with Product, ML Engineering, Data Science, UX, and Architecture by documenting requirements, dependencies, milestones, and risks.
Maintain governance artifacts including schedules, RAID logs, decision records, and AI-specific delivery documentation.
Track progress across AI workstreams, capturing updates from sprint reviews, model checkpoints, training cycles, and evaluation sessions.
Support cross-functional alignment by coordinating client engagement logistics, AI use-case prioritization, and model delivery readiness.
Prepare bi-weekly delivery reports summarizing progress, risks, blockers, and upcoming AI release milestones using Smartsheet, Azure DevOps, or similar tools.

5+ years of experience supporting software, SaaS, or AI/ML delivery programs in an Agile environment.
Proven experience coordinating AI-enabled product development, including data pipelines, model training workflows, feature engineering, or ML deployment cycles.
Strong ability to manage inter-team dependencies and align work across Product, ML Engineering, Data Science, and Cloud Engineering teams.
Experience maintaining program schedules, RAID logs, delivery documentation, and governance artifacts across multiple PODs or workstreams.
Proficiency with tools such as Smartsheet, Azure DevOps, and Confluence, including structured reporting and dashboard creation.
Familiarity with AI delivery concepts including data governance, model lifecycle stages, technical risks, and responsible AI considerations.

AI Program Manager

Key skills