Data & AI Delivery manager

About the job

Company Description 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.

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 :

Additional Information