AI Strategy and Adoption Consultant

  • Full-time
  • Legal Entity: Bosch Global Software Technologies Private Limited

Company Description

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.

Job Description

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

Qualifications

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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