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Tier-1 brand and Bangalore metro increase competition despite the niche senior AI strategy focus.
High due to deep AI domain expertise and consulting transformation experience required, limiting transferable candidates.
Mandatory 10–12 years plus specific AI strategy, MLOps, governance, and consulting skills create high screening rigor.
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Lead AI maturity assessments and benchmark capabilities across business units and regions to identify gaps and prioritize AI use cases including GenAI.
Develop and execute AI transformation roadmaps and operating models, building business cases and tracking value realization from PoC to production scale.
Advise client leadership via workshops, briefings, and executive alignment; drive AI adoption through change management, capability building, and consulting asset development.
10–12 years of experience in AI/digital strategy, management consulting, enterprise transformation, or business architecture.
Strong expertise in AI/ML and GenAI technologies, adoption challenges, and scaling PoCs to production.
Proven skills in AI maturity/capability frameworks, operating model design, transformation roadmaps, and building business cases with ROI models.
Educational qualifications: B.E/B.Tech/MCA/PhD or equivalent.
Experienced consultant able to operate at executive levels and influence key stakeholders without authority.
Demonstrated ability to integrate AI strategy with engineering and architecture teams within service or product organizations.
Skilled in combining diagnostic rigor with transformation planning and adoption to drive enterprise-scale AI impact.