Data & AI Delivery manager

Robert Bosch Group; Bengaluru; On-site; INR 5,000,000 - 7,000,000; Full time

Job summary

Bosch Global Software Technologies Private Limited, a subsidiary of Robert Bosch GmbH, is seeking an experienced engineering delivery leader in Bengaluru to drive data engineering and AI/GenAI engagements. You will oversee end-to-end delivery, governance, and profitability across client engagements, guiding teams of engineers and project managers.

Ideal candidates bring 12–18 years in software/data delivery, strong leadership, and expertise in GenAI, RAG, and metric-driven delivery.

Qualifications

• 12–18 years in software/data engineering delivery.
• Strong delivery-management and people-leadership experience.
• Familiarity with GenAI, RAG, and agentic solution delivery.
• Experience owning delivery revenue, EBIT, Deployment efficiency and productivity.
• First-level people leadership; performance assessment and career progression dialogs, mentorship

Responsibilities

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

Skills

Data engineering

AI/ML delivery

GenAI

RAG

Agentic delivery

Delivery governance

Agile delivery

Delivery metrics

People leadership

Cost management

Education

BE/BTech/MCA/PhD

Job description

• Legal Entity: Bosch Global Software Technologies Private Limited

Company Description

Bosch Global Software Technologies Private Limitedis 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

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.

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

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

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 :