Data & AI Delivery manager

Roles & Responsibilities : This role leads the engineering teams that build and deliver the Service Line's client engagements across data foundations and AI/GenAI solutions.

A hands-on delivery leader accountable for people, commercials, client engagements, quality, cost, and delivery metrics.

Key responsibilities Engineering delivery leadership Lead the engineering teams — data engineering and AI/GenAI solution development.

Own end-to-end delivery across the engagement lifecycle: Planning, execution, deployment, and transition to Managed Ops.

Direct delivery through project managers and technical leads; set delivery methods, cadences, and governance.

Ensure architectural and engineering decisions align with CoE standards and reference architectures Business & commercials Track and own revenue realization, EBIT, and deployment efficiency Manage profitable delivery: Resource pyramid and productivity measures Support pursuits with delivery estimates, staffing plans, and solution feasibility Support account mining through delivery excellence and identification of follow-on work.

Client engagement management Own the delivery relationship with clients — governance, status, expectation management, and escalation resolution.

Manage customer satisfaction – Feedback, Timely communication, Excellence Identify and track delivery risks, mitigation Quality, cost & delivery metrics Own engineering and delivery quality and adherence to delivery quality standards.

Define, track, and report delivery metrics — Quality, Cost and Schedule.

Ensure delivery adheres to AI governance, security, and Responsible AI standards.

Drive continuous improvement in delivery efficiency People & capability Lead, develop, and retain engineering talent; own hiring, performance, and career development in partnership with the Talent Family.

Build technical bench strength across data and AI/GenAI engineering skills.

Foster culture of excellence.

Experience 12–18 years in software/data engineering delivery, with strong delivery-management and people-leadership experience Expected Skills Solid grounding in data engineering and AI/ML delivery; familiarity with GenAI, RAG, and agentic solution delivery Strong grasp of engineering quality, agile delivery, and delivery metrics/governance Proven ownership of cost, quality, and schedule across complex engagements Experience owning delivery revenue, EBIT, Deployment efficiency and productivity First-level people leadership; performance assessment and career progression dialogs, mentorship

Educational qualification: B.E/B.Tech/MCA/PhD or equivalent Qualification Experience : 12–18 years in software/data engineering delivery, with strong delivery-management and people-leadership experience Mandatory/requires Skills : Solid grounding in data engineering and AI/ML delivery; familiarity with GenAI, RAG, and agentic solution delivery Strong grasp of engineering quality, agile delivery, and delivery metrics/governance Proven ownership of cost, quality, and schedule across complex engagements Experience owning delivery revenue, EBIT, Deployment efficiency and productivity First-level people leadership; performance assessment and career progression dialogs, mentorship Preferred Skills :