Head - Payments, Data & AI Architecture

Head - Payments, Data & AI Architecture
Location: Gurgaon (WFO)
Role Purpose
Own the cross-business architecture for payments, enterprise data and AI. Shape the UPI switch decision, establish a common data foundation and enable secure, reusable AI-led customer service and decisioning across Lending, Cards and Airtel Payments Bank.
Key Accountabilities
Payments Architecture
Define the target payments architecture and lead the UPI switch recommendation.
Govern payment processing, orchestration, reconciliation and integration patterns.
Ensure architecture meets required resilience, security, scalability and regulatory controls.
Common Data Foundation
Define the common data layer, domain data products and canonical models across the businesses.
Establish standards for customer, account, product and transaction data.
Drive data quality, lineage, access, privacy and retention by design.
AI & Intelligent Customer Service
Define the architecture for AI-led customer service, assisted operations and decisioning.
Establish reusable GenAI and agentic AI platform patterns, including identity, guardrails, monitoring and human oversight.
Govern MLOps / LLMOps, model lifecycle and responsible AI controls.
Cross-business Architecture Leadership
Translate business priorities into sequenced payments, data and AI roadmaps.
Partner with product, engineering, risk, security, compliance and operations leaders.
Own key architecture decisions, dependencies and design trade-offs across the businesses.
Expected Outcomes
Clear, approved direction for the UPI switch and target payments architecture.
Adoption of a governed common data layer across priority journeys.
Reusable AI capabilities that improve service while protecting customer data and controls.
Reduced data duplication and more consistent customer, product and transaction definitions.
Experience & Profile
12+ years in technology with leadership experience across payments, data or AI architecture.
Strong banking, fintech, payments or regulated-platform experience.
Hands-on understanding of real-time payments, enterprise data platforms and modern AI architectures.
Ability to make complex cross-domain trade-offs and influence senior business and technology stakeholders.

Work arrangement
No