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Senior niche data/AI leadership reduces density despite strong Tier-1 brand and Bangalore metro presence.
Deep data/AI architecture and financial domain leadership needs make background fit highly sensitive and less transferable.
Explicit 16+ years plus mandated data, AI, cloud, governance, and leadership experience increases shortlisting strictness.
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Design and own end-to-end data pipelines, AI-ready infrastructure, and feature stores supporting batch and real-time streaming.
Lead teams to build self-service data and AI services including MLOps tools, fostering cross-geographical collaboration and innovation.
Drive data, AI, and cloud architecture strategies, ensuring compliance with data governance standards such as GDPR and CCPA.
Bachelor’s degree in computer science, information systems, or related field; advanced degree preferred but not mandatory.
16+ years of experience in a similar role designing and launching digital platforms and cloud/data/AI initiatives.
Proven expertise in AI/ML model deployment, data governance, and managing large cross-functional, multi-location teams.
Work Experience Required: 16+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced strategic technology leader with a demonstrated ability to translate AI and digital assets strategies into scalable engineering solutions.
Capable of managing multiple high-priority initiatives and driving cross-cultural collaboration globally.
Ability to innovate and disrupt using new AI, BI, and automation tools aligned with organizational strategy and compliance requirements.