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Tier-1 bank and Mumbai location increase applicant density, but seniority and niche AI-operations focus limit applicants.
Role requires deep regulated-operations and enterprise AI experience, reducing cross-industry transferability.
Explicit 15+ years, required large-team leadership, regulated controls, and domain-specific AI skills make hiring strict.
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Lead design and deployment of reusable AI capabilities across multiple global Operations functions to reduce duplication and accelerate adoption.
Partner with Product, Technology, Data, and Control teams to ensure scalable, secure, and compliant AI solutions, managing operational readiness and training.
Manage the Operations AI solutions portfolio, tracking adoption, impact, and strategic alignment while influencing senior stakeholders to adopt horizontal solutions.
15+ years in operations or related function with 8-10+ years leading large, matrixed teams through other managers.
Proven experience designing and delivering shared horizontal AI capability programmes across complex, cross-functional environments with full accountability.
Deep knowledge of operational process design and practical AI application for large-scale service delivery improvements.
Not explicitly mentioned: mandatory degrees, specific AI technical certifications, notice period, or strict location requirements.
Experienced leader in technology-enabled transformation within regulated operations environments, especially at scale with high-volume, compliance-sensitive services.
Proven track record implementing AI/automation programs that produce measurable sustained operational outcomes across multiple functions, not just pilots.
Strong operational empathy and pragmatic AI knowledge, able to balance technical feasibility with operational risk, compliance, and user-centric adoption.