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.
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
- Excellent executive communication; ability to influence without authority
Qualifications
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