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Tier-1 brand, metro locations, and popular AI strategy domain increase candidate competition.
Requires strategy consulting and AI/data domain expertise, reducing cross-industry transferability.
Explicit 10–15 years, consulting experience, MBA preference, and mandatory architecture and leadership skills tighten filters.
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Lead AI & Data Strategy engagements for top global clients, focusing on AI value assessment, opportunity identification, and enterprise-wide AI architecture design.
Develop strategic AI & Data roadmaps, business cases, data governance frameworks, and platform strategies leveraging cloud and non-cloud technologies.
Manage and guide teams delivering end-to-end AI & Data transformations, including stakeholder engagement and solution benchmarking.
10 to 15 years total work experience, including 5–7 years in strategy consulting at a consulting firm.
3+ years hands-on experience leading AI & Data strategic solutions including AI use case identification, AI readiness assessments, and AI foundation architecture.
Experience with cloud and non-cloud platforms such as GCP, Azure, AWS, Snowflake, Databricks, or Palantir for Enterprise AI & Data solutions.
Mandatory knowledge of IT & Enterprise architecture concepts and practical experience with data governance technologies (e.g., Collibra, Talend).
Experienced manager with proven ability to lead AI & Data strategy teams and engage C-level stakeholders in large, complex organizations.
Strong background in strategy consulting combined with deep technical understanding of AI, Generative AI, data supply chain, and related cloud platforms.
Capable of translating AI & Data transformations into measurable business value and designing scalable, enterprise-grade architectures and governance frameworks.