AI Delivery Manager

Key Responsibilities

• AI Program Delivery
• Lead end-to-end delivery of AI/ML and GenAI programs, from ideation and POC to production deployment
• Manage multiple AI initiatives including:
• LLM applications (RAG, agents, copilots)
• Data science and ML model deployment
• AI-driven automation and transformation programs
• Ensure timely delivery, quality, and cost efficiency across engagements
• Client & Stakeholder Management
• Act as a trusted advisor to enterprise clients across data-intensive domains
• Collaborate with senior stakeholders (CTO, CIO, Product Heads) to define AI strategy and roadmap
• Drive account growth and expansion opportunities
• Delivery & Program Management
• Manage large-scale, multi-million dollar portfolios/programs
• Lead distributed/global teams across engineering, data science, and product
• Establish delivery governance, KPIs, and reporting mechanisms
• Ensure adherence to Agile/Scrum methodologies and best practices
• AI & Technology Leadership
• Work closely with AI/ML teams on:
• Model development lifecycle
• MLOps and deployment strategies
• Data pipelines and cloud infrastructure
• Drive adoption of:
• GenAI tools (LangChain, LlamaIndex, OpenAI, etc.)
• Cloud platforms (AWS/GCP/Azure)
• Provide guidance on solution architecture for AI systems
• Transformation & Innovation
• Lead AI-led digital transformation initiatives
• Identify opportunities to:
• Automate legacy systems
• Improve efficiency using AI
• Reduce operational costs via intelligent solutions

Required Qualifications

• 10–15 years of experience in delivery/program management
• Proven track record in managing large-scale enterprise programs
• Hands-on exposure to AI/ML/GenAI projects (minimum 1–3 years)
• Strong experience in:
• Global delivery models
• Stakeholder management
• Budget and portfolio ownership
• Background in data platforms or large-scale enterprise systems is highly preferred
• Must-have skills
• AI model deployment
• MLOps
• Data science delivery
• Good-to-have skills
• AI/ML Program Manager
• AI Product Delivery Manager
• Data & AI Program Manager
• Key Responsibilities
• AI Program Delivery
• Lead end-to-end delivery of AI/ML and GenAI programs, from ideation and POC to production deployment
• LLM applications (RAG, agents, copilots)
• Data science and ML model deployment
• AI-driven automation and transformation programs
• Ensure timely delivery, quality, and cost efficiency across engagements
• Client & Stakeholder Management
• Act as a trusted advisor to enterprise clients across data-intensive domains
• Collaborate with senior stakeholders (CTO, CIO, Product Heads) to define AI strategy and roadmap
• Drive account growth and expansion opportunities
• Delivery & Program Management
• Manage large-scale, multi-million dollar portfolios/programs
• Lead distributed/global teams across engineering, data science, and product
• Establish delivery governance, KPIs, and reporting mechanisms
• Ensure adherence to Agile/Scrum methodologies and best practices
• AI & Technology Leadership
• Model development lifecycle
• MLOps and deployment strategies
• Data pipelines and cloud infrastructure
• GenAI tools (LangChain, LlamaIndex, OpenAI, etc.)
• Cloud platforms (AWS/GCP/Azure)
• Provide guidance on solution architecture for AI systems
• Transformation & Innovation
• Lead AI-led digital transformation initiatives
• Automate legacy systems
• Improve efficiency using AI
• Reduce operational costs via intelligent solutions

Must-have skills

Good-to-have skills

Preferred Qualifications

• Background in data platforms or large-scale enterprise systems is highly preferred