AI/ML Program Manager

Must Have Technical/Functional Skills

· AI/ML Program Delivery & Lifecycle Management

· Agile / Scrum Project Management

· Multi-workstream Program Management (enterprise scale)

· Stakeholder Management (Business + IT Leadership)AI/ML & GenAI delivery exposure (LLM, RAG,

Agentic AI)

· Financial & Budget Management (SoW, forecasting)

· Risk & Governance Management (RAID, compliance)

· Cross-functional Team Leadership

Roles & Responsibilities

· Lead end-to-end AI workstream delivery (planning → execution → monitoring

· Manage project plans, timelines, dependencies, resources

· Drive Agile ceremonies (sprint planning, stand-ups, retrospectives)

· Act as primary interface between stakeholders and delivery teams

· Ensure governance, compliance, and responsible AI adherence · Coordinate across AI engineering, data, architecture, QA teams · Track KPIs (timeline, quality, business outcomes) · Manage budgets, forecasts, and vendor coordination · Identify & mitigate risks, issues, dependencies (RAID) · Lead cross-functional AI teams and delivery model execution

Generic Managerial Skills, If any

· Stakeholder Communication (Executive + Technical)

· Leadership of cross-functional teams (AI/DS/Engineering)

· Program Governance & Decision Making

· Risk Management & Escalation Handling Financial Planning & Cost Control

· Vendor & Partner Management Delivery Excellence & Quality Assurance