AI Senior Program Manager

Must Have Technical/Functional Skills

• Proven track record of leading projects that bridge software engineer, data scientist , legal compliance And executive stakeholders.

· Knowledge of Cloud computing knowledge (AWS, Google, Azure). Costs associated to GPU.

• Management of dependencies, budgets, long term strategic value across project.

Roles & Responsibilities

• Manage multiple AI initiatives from use-case identification through implementation and value realization.

• Establish an AI program roadmap, milestones, dependencies, risks, and governance.

• Coordinate business, AI engineering, architecture, data, security, legal, risk, and operations stakeholders.

• Establish a structured process for evaluating and prioritizing AI opportunities.

• Work with stakeholders to develop business cases and measurable success criteria.

• Track implementation cost, benefits, business outcomes, and AI ROI.

• Facilitate decisions on whether a use case should employ GenAI, traditional ML, automation, or conventional application development.

• Coordinate pilots and production implementations.

• Manage resource requirements, dependencies, budgets, risks, issues, and executive reporting.

• Establish repeatable program-management practices for scaling AI adoption.

• Drive executive-level steering committee discussions and decision-making.

• Cross-Functional Collaboration: Partner with data scientists, software developers, and product managers to align technical execution with business outcomes.

• Technology Evaluation: Select optimal frameworks, vector databases, cloud services (AWS, Azure, GCP), and hardware resources for specific workloads.