AI Strategy and Adoption Consultant

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

• 1012 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/ or equivalent Qualification

Experience :

• 1012 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 :

Remote Work :

No

Employment Type :

Full-time