Bosch Group
AI Strategy and Adoption Consultant
Skills
3 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
10 August 2026
What they need
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 helps SDS and its clients to move from AI experimentation to enterprise-scale impact — assessing maturity, shaping the use-case portfolio, defining transformation roadmaps and operating models, and driving adoption. Based in the AI CoE, the consultant multiplexes to Data & AI Service Line engagements, combining diagnostic rigor, transformation planning, and executive stakeholder engagement.
AI Maturity assessment
- Design and maintain AI maturity assessment frameworks spanning strategy, data, technology, governance, operating model, adoption, risk, and value.
- Conduct maturity assessments across business units, functions, and regions; benchmark current state and identify gaps against target-state capabilities.
- Identify, shape, and prioritise AI use cases — including GenAI and agentic solutions — based on value, feasibility, data readiness, risk, and scalability.
Transformation strategy and Roadmap development
- Develop AI transformation roadmaps with short to long-term initiatives, tailored to business priorities, maturity, and org readiness.
- Recommend AI operating models with governance interfaces.
- Build business cases and ROI models; establish tracking of value realization across the portfolio.
- Guide the maturity journey from PoC to production-scale AI use case adoption
Consult for client engagements
- Support leadership decision-making through structured recommendations, business cases, and executive briefings. Act as a trusted advisor to stakeholders in client organisations.
- Facilitate discovery workshops, interviews, and executive alignment sessions; derive actionable recommendations and transformation programs with defined success metrics.
- Support pre-sales for Service Line AI transformation engagements.
Change Management and capability building
- Define adoption playbooks and change management interventions.
- Advise on capability-building pathways, collaborating with talent and delivery teams to address skill gaps.
- Development of consulting assets, accelerators, and AI service offerings.
Experience
- 10–12 years in AI/digital strategy, management consulting, enterprise transformation, or business architecture
Expected Skills
- Strong grasp of the AI/ML and GenAI landscape, adoption challenges, Scaling PoCs to production
- Experience with maturity/capability frameworks and assessments, operating model design, and transformation roadmap development
- Proven ability to build business cases, value models, and ROI narratives that secure investment
- Exposure to MLOps, Responsible AI and AI Governance
- Experience working alongside engineering and architecture teams in a services or product organization
Stakeholder skills
- Excellent executive communication; ability to influence without authority
Educational qualification:
B.E/B.Tech/MCA/PhD or equivalent Qualification
Experience :
- 10–12 years in AI/digital strategy, management consulting, enterprise transformation, or business architecture
Mandatory/requires Skills :
- Strong grasp of the AI/ML and GenAI landscape, adoption challenges, Scaling PoCs to production
- Experience with maturity/capability frameworks and assessments, operating model design, and transformation roadmap development
- Proven ability to build business cases, value models, and ROI narratives that secure investment
- Exposure to MLOps, Responsible AI and AI Governance
- Experience working alongside engineering and architecture teams in a services or product organization
Preferred Skills :
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