Role Purpose: The AI Transformation Lead will drive the enterprise-wide AI agenda, translating the organization’s strategic ambitions into scaled, high-impact AI interventions. The role serves as the primary conduit between Business and IT — collaborating with the Data Infrastructure and AI Infrastructure teams to convert prioritized business opportunities into deployed, value-generating AI solutions. Partnering closely with the Transformation team, this position ensures the enterprise focuses on the right areas of AI intervention and delivers each initiative on time and in full (OTIF), with measurable business outcomes.

Role Accountability:
Enterprise AI Strategy & Prioritization:
Own the enterprise AI roadmap, aligning AI investments to strategic priorities and quantified business value.
Build and maintain a prioritized pipeline of AI/GenAI use cases across acquisition, engagement, risk, collections, service, and cost efficiency.
Partner with the Transformation team to sequence interventions by impact, feasibility, and readiness,



ensuring scarce capacity is directed to the highest-value opportunities.
Work jointly with the Data Infrastructure and AI Infrastructure teams to shape data pipelines, model platforms, and deployment architecture required for each use case.
Ensure business intent is carried through design, build, and deployment, resolving trade-offs between ambition, feasibility, and time-to-value.

Delivery Governance – On Time & In Full
Drive timely and in-full (OTIF) implementation of prioritized AI initiatives through disciplined planning, milestone tracking, and issue resolution.
Establish delivery cadence, dependency management, and escalation mechanisms in partnership with the Transformation PMO.
Manage cross-functional risks, remove blockers, and hold owners accountable for committed timelines and outcomes.

Data & AI Infrastructure Partnership
Collaborate with the Data Infrastructure team to ensure availability, quality, lineage, and governance

📌 Vice President – POD (Gurugram)
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