Data & AI Delivery manager
Bosch
bangalore, , IndiaPosted 18 days ago
Skill Required
AIdata engineeringEngineeringsecurityAgileDesign PatternsGenerative AIRAGandMachine LearningFulltime
Key highlights
- 12–18 years required experience
- B.E/B.Tech/MCA/PhD or equivalent qualification required
- Leads engineering teams in data/AI/GenAI
- Owns revenue, EBIT, and delivery metrics
- First-level people leadership required
- Global footprint (US, Europe, Asia Pacific)
Role overview
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.
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.
- 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.
- 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.
Requirements
- 12–18 years in software/data engineering delivery, with strong delivery-management and people-leadership experience.
- 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.
- B.E/B.Tech/MCA/PhD or equivalent Qualification.