bangalore, India
Live, first seen by us 24 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Lead data engineering and AI/GenAI solution teams through delivery
Own end-to-end delivery from planning and execution to transition to Managed Ops
Track revenue realization, EBIT, and deployment efficiency
Own client governance, status reporting, and escalation resolution
Define and report quality, cost, and schedule delivery metrics
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
Track and own revenue realization, EBIT, and deployment efficiency
Own the delivery relationship with clients — governance, status, expectation management, and escalation resolution
Define, track, and report delivery metrics — Quality, Cost and Schedule
12–18 years in software/data engineering delivery, with strong delivery-management and people-leadership experience
Proven ownership of cost, quality, and schedule across complex engagements
Experience owning delivery revenue, EBIT, Deployment efficiency and productivity
Educational qualification: B.E/B.Tech/MCA/PhD or equivalent Qualification Experience :
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 24
Similar jobs usually come down between day 7 and day 55.
At Bosch Group, jobs usually come down by about day 18.
From 8,408 similar postings that came down, and 307 of Bosch Group’s. Coming down is not always a hire.
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Yes. We’ve followed one other Data & AI Delivery manager job there since August 2026. It came down after 26 days.
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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 :
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.
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bangalore, India
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