Job Description
Lead - AI
Reporting To
Managing Director & CEO's Office
Location
Mumbai – Corporate Office
Grade
SVP1/ SVP2
Role Purpose
The Lead – AI will be responsible for supporting and executing RBL Bank's enterprise-wide AI vision and strategy. Reporting to the MD & CEO's Office, the role will drive responsible, scalable, and business-outcome–focused adoption of Artificial Intelligence, Machine Learning, and Generative AI across the Bank, while ensuring strong governance, regulatory compliance, and risk management.
Key Responsibilities
- Partner with the MD's Office and senior leadership to align AI initiatives with strategic priorities and P&L outcomes.
- Support and own the Bank's long-term AI vision, strategy, and execution roadmap.
- Identify and scale high-impact AI and GenAI use cases across lending, payments, cards, risk, fraud, operations, and customer experience.
- Establish enterprise-wide AI governance covering model risk, explainability, bias, ethics, data privacy, and regulatory compliance.
- Oversee AI platform strategy, architecture, and integration with core banking and digital systems.
- Build and lead a high-performing AI, data science, and advanced analytics organization.
- Manage ecosystem partnerships with fintechs, technology vendors hyperscalers, and academia.
- Serve as the primary interface with Risk, Compliance, Internal Audit, and Regulators on AI-related matters.
Key Performance Indicators (KPIs)
- Measurable P&L impact through revenue uplift, cost reduction, and risk loss prevention enabled by AI
- .Successful deployment and scale-up of prioritized AI and GenAI use cases
- .Adoption of AI-driven insights and decisioning across business units
- .Zero major audit or regulatory observations related to AI models or data usage
- .Stability, performance, explainability, and compliance of AI models in production
- .Strength, retention, and capability maturity of the AI organization
.Qualifications & Experience
- Bachelor's or Master's degree in Engineering, Computer Science, Data Science, or a related field
- .15+ years of overall experience, with 8–10+ years in senior AI, ML, or advanced analytics leadership roles
- .Strong preference for candidates from fintechs, digital-native financial services, or analytics-led technology organizations
- .Proven experience delivering AI solutions at scale in domains such as lending, payments, fraud, credit risk, or customer experience
- .Experience working within or closely with regulated financial services environments is strongly preferred
- .Exposure to enterprise GenAI and LLM implementations will be an added advantage
.Key Competencies
- Strategic leadership with strong execution and outcome orientation
- .Deep understanding of AI/ML technologies and their business applications
- .Strong stakeholder management and influencing skills at Board and CXO levels
- .High standards of governance, risk awareness, and ethical decision-making
- .Ability to operate in ambiguity and lead large-scale transformation
.Additional Requirement
- sAgile, execution-first leader with a strong bias toward speed and outcomes
- .Proven fintech or digital-first financial services exposure.
- Hands-on AI leadership in environments where AI/ML/GenAI directly drove business decisions
- .Demonstrated practical AI execution, from use‑case design to large‑scale production deployment
- .Strong delivery ownership, with the ability to execute complex AI programs end‑to‑end across functions
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