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. 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 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 :