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Tier-1 bank and metro raise competition, but seniority and niche leadership reduce density.
Requires enterprise Data & AI leadership and regulated-industry experience, limiting cross-industry transferability.
Explicit 20+ years, mandatory enterprise Data & AI leadership, and regulated-industry experience create strict filters.
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Lead and scale the India Data & AI organization to enable enterprise-wide Data, Analytics and AI capabilities.
Drive execution of the Enterprise Data & AI strategy, including modern cloud-native data platforms and AI solutions to accelerate business outcomes.
Serve as the key bridge between India and global Enterprise Data & AI leadership, ensuring alignment and positioning India as a strategic innovation hub.
20+ years of progressive technology leadership experience with significant experience leading Enterprise Data & AI organizations.
Bachelor’s degree in Computer Science, Engineering or related discipline (Master’s preferred).
Experience building and scaling enterprise Data & AI capabilities in global organizations or GCCs.
Work Experience Required: 20+ years; Notice Period: Not explicitly mentioned in the JD.
Senior executive with proven success leading enterprise transformation, innovation, and data modernization initiatives in regulated industries (financial services preferred).
Strong strategic and operational leadership experience with ability to collaborate across global, cross-functional teams and influence at executive levels.
Experienced in building high-performing, future-ready Data & AI teams in matrixed, global environments focused on measurable business outcomes and innovation.