Job Description

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

Qualifications

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 :

Data & AI Delivery manager