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Assistant Vice President - Application
Full-time
The
Head - AI & Intelligent Automation
will be responsible for establishing and leading the Enterprise AI & Intelligent Automation Centre of Excellence.
This is a strategic leadership role responsible for defining the enterprise AI roadmap, building high-performing AI engineering and data science teams, implementing AI governance, and delivering measurable business value through Artificial Intelligence, Generative AI, Machine Learning, Intelligent Automation, and Agentic AI.
The ideal candidate will combine deep technical expertise with strong business acumen and leadership experience to translate business challenges into scalable AI-powered solutions.
Key Responsibilities
Enterprise AI Strategy
Develop and execute the enterprise AI strategy aligned with business and digital transformation goals.
Build a multi-year AI roadmap across all business functions.
Identify high-value AI opportunities that improve customer experience, operational efficiency, and revenue growth.
Drive AI adoption across lending, customer service, collections, sales, risk, finance, HR, legal, and operations.
Establish AI as a core capability within the organization.
Build & Lead the AI Centre of Excellence
Establish the Enterprise AI & Intelligent Automation CoE.
Recruit, mentor, and lead a multidisciplinary team comprising AI architects, AI engineers, ML engineers, data scientists, MLOps engineers, AI platform engineers, and AI governance specialists.
Foster a culture of innovation, experimentation, collaboration, and continuous learning.
Define operating models, delivery standards, and engineering best practices.
AI Product & Solution Delivery
Own The End-to-end Delivery Of Enterprise AI Initiatives Including
AI-powered Customer Service
Enterprise AI Assistants
Employee Copilots
AI-enabled CRM
AI-powered Loan Origination
Intelligent Underwriting
Fraud Detection
Collections Intelligence
Risk Analytics
Document Intelligence
Marketing Personalization
Conversational Analytics
Executive AI Dashboards
Agentic AI Workflows
Intelligent Decision Engines
Enterprise Knowledge Management
Ensure solutions move successfully from concept to production with measurable business outcomes.
AI Engineering & Architecture
Define enterprise AI architecture and reference frameworks.
Standardize reusable AI services and components.
Build scalable AI platforms capable of supporting enterprise-wide adoption.
Define AI integration standards with enterprise applications including CRM, Mobile App, LOS, LMS, Data Lake, APIs, Contact Centre, Marketing Platforms, and Digital Portals.
Drive cloud-native AI architecture and API-first development.
Generative AI & Agentic AI
Lead Implementation Of
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Multi-Agent Systems
AI Agents
AI Orchestration
Prompt Engineering Frameworks
Enterprise Knowledge Assistants
AI Copilots
Intelligent Workflow Automation
Conversational AI
AI Search
Evaluate emerging AI technologies and identify opportunities for enterprise adoption.
Data Science & Machine Learning
Lead The Development Of
Credit Risk Models
Customer Segmentation
Cross-sell and Upsell Models
Churn Prediction
Collections Optimization
Fraud Detection Models
Recommendation Engines
Forecasting Models
NLP Solutions
Customer Lifetime Value Models
Ensure models are scalable, explainable, and business-ready.
AI Platform & MLOps
Establish enterprise AI infrastructure and deployment pipelines.
Define model lifecycle management processes.
Build CI/CD pipelines for AI applications.
Establish model monitoring, observability, and drift detection.
Define standards for feature stores, vector databases, and model registries.
Optimize AI platform performance, reliability, and cost.
AI Governance & Responsible AI
Define enterprise AI governance policies and standards.
Ensure compliance with RBI regulations, internal risk policies, and applicable data privacy requirements.
Establish controls for model validation, explainability, fairness, bias detection, and auditability.
Lead AI risk assessments and governance forums.
Promote ethical and responsible AI practices across the organization.
Stakeholder & Vendor Management
Partner with CXOs, Business Heads, Risk, Compliance, Operations, IT, and Product teams.
Build executive-level relationships to identify and prioritize AI opportunities.
Manage AI technology vendors, cloud partners, and consulting organizations.
Evaluate AI platforms, tools, and partnerships to maximize business value.
Innovation & Emerging Technologies
Continuously Evaluate And Drive Adoption Of
Generative AI
Agentic AI
Autonomous Decision Systems
Intelligent Process Automation
AI-powered Analytics
Knowledge Graphs
Computer Vision
Speech AI
Document AI
AI-powered Customer Engagement
Build an innovation pipeline and incubate AI use cases through proofs of concept and pilots.
Financial & Delivery Management
Own AI budgets, resource planning, and investment prioritization.
Establish AI delivery governance and execution metrics.
