Data & AI Delivery manager
About the Role
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 responsibilitiesEngineering delivery leadershipLead 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 architecturesBusiness & commercialsTrack and own revenue realization, EBIT, and deployment efficiencyManage profitable delivery: Resource pyramid and productivity measuresSupport pursuits with delivery estimates, staffing plans, and solution feasibilitySupport account mining through delivery excellence and identification of follow-on work.Client engagement managementOwn the delivery relationship with clients — governance, status, expectation management, and escalation resolution.Manage customer satisfaction – Feedback, Timely communication, ExcellenceIdentify and track delivery risks, mitigationQuality, cost & delivery metricsOwn 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 efficiencyPeople & capabilityLead, 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.Experience12–18 years in software/data engineering delivery, with strong delivery-management and people-leadership experienceExpected SkillsSolid grounding in data engineering and AI/ML delivery; familiarity with GenAI, RAG, and agentic solution deliveryStrong grasp of engineering quality, agile delivery, and delivery metrics/governanceProven ownership of cost, quality, and schedule across complex engagementsExperience owning delivery revenue, EBIT, Deployment efficiency and productivityFirst-level people leadership; performance assessment and career progression dialogs, mentorshipEducational qualification:B.E/B.Tech/MCA/PhD or equivalent QualificationExperience :12–18 years in software/data engineering delivery, with strong delivery-management and people-leadership experienceMandatory/requires Skills :Solid grounding in data engineering and AI/ML delivery; familiarity with GenAI, RAG, and agentic solution deliveryStrong grasp of engineering quality, agile delivery, and delivery metrics/governanceProven ownership of cost, quality, and schedule across complex engagementsExperience owning delivery revenue, EBIT, Deployment efficiency and productivityFirst-level people leadership; performance assessment and career progression dialogs, mentorshipPreferred Skills :