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

- Solid 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 :

📌 AI Strategy and Adoption Consultant (India)
🏢 Robert Bosch
📍 India