Data & AI Delivery manager

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

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.

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.

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

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 :