Jobs / India / Robert Bosch LLC

Data & AI Delivery manager

Robert Bosch LLC · 🌍 bangalore, IN

Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal — ask the recruiter.

  • No government sponsor record hereNo government sponsor record covers this employer in this country.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
  • Confirmed live todayWhen a source last listed this job as open.

A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.

Start free →

Or apply yourself on the official page →

Why not apply?

Sponsorship unknown

No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.

SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →

Sponsor Radar — Robert Bosch LLC

Sponsorship not verified for this country

No government sponsor record covers this employer in this country.

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Robert Bosch LLC →

About the role

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 :

View the official posting →

Source: smartrecruiters First seen: 2026-10-06 Last confirmed: 2026-10-06 How our data works → Report this job

Similar opportunities