Arockia Liborious
Navi Mumbai
Summary
Architecting transformative AI strategies at ICICI Bank, I delivered a 674% ROI through generative AI solutions. Leveraging expertise in GPT-4 and Azure OpenAI, I excel in C-suite advisory and building global teams. My leadership in responsible AI governance and operational efficiency drives innovation and compliance, enhancing enterprise automation and strategic partnerships. Dynamic leader in Generative AI and analytics, renowned for driving transformative projects that yield significant ROI. Proven expertise in P&L management, operational efficiency, and responsible AI governance.
Overview
16
16
years of professional experience
Work History
Head – Head of Generative AI & Cognitive Analytics
ICICI Bank
12.2022 - Current
- Architected and led enterprise GenAI transformation strategy generating ₹400+ Cr in 3-year value (₹58 Cr investment, 674% ROI)—delivered through fraud detection (₹35 Cr annual), loan automation (₹62 Cr annual), churn reduction (₹21 Cr annual), and compliance automation (₹15 Cr projected).
- Influenced ₹15+ Cr in AI investment approvals through compelling business cases, executive presentations, and data-driven ROI modeling—demonstrating pre-sales and solutioning capabilities critical for consulting.
- Serve as trusted AI advisor to C-suite across 8 business verticals (Retail Banking, Corporate Banking, Wealth Management, Risk, Compliance, Operations, Treasury, IT)—managing parallel client engagements with competing priorities and resource constraints, mirroring multi-client consulting environment.
- Established AI governance framework ensuring RBI compliance—deployed bias detection algorithms, explainability dashboards (SHAP/LIME), comprehensive audit trails, and human-in-the-loop protocols—positioning bank as industry leader in responsible AI adoption and regulatory readiness.
- Designed and deployed enterprise-scale GenAI platform on hybrid multi-cloud infrastructure (Azure OpenAI, GCP Vertex AI) processing 50TB+ financial data with 99.5% accuracy and 20% real-time inference improvement—serving as reusable foundation for 15+ downstream use cases.
- Architected RAG (Retrieval-Augmented Generation) systems with semantic chunking, hybrid dense-sparse retrieval, and vector databases (Pinecone, Weaviate)—achieving 87% precision@5 in document retrieval and reducing hallucination rates from 12% to 2% through citation enforcement and NLI validation.
- Pioneered multimodal GenAI solutions integrating GPT-4 Vision and custom NLP for intelligent document processing across trade finance, loan documentation, regulatory filings—automating 780+ man-hours annually while maintaining audit-grade accuracy for RBI scrutiny.
- Orchestrated production deployment of GPT-4, Gemini, and custom fine-tuned LLMs (LoRA on Llama-2-70B) into banking workflows—enabling conversational AI for customer service, automated KYC verification, real-time transaction monitoring, and credit risk narrative generation.
- Led 6-person team over 12 months (₹2.8 Cr investment) to deploy GenAI-powered fraud detection combining XGBoost pre-screening with GPT-4 contextual analysis—reduced false positives by 35% (500K fewer customer disruptions annually), improved defaulter identification by 0.5%, protected ₹200 Cr in potential losses. Delivered ₹35 Cr annual ROI with 4-month payback.
- Architected document intelligence solution (8-person team, 9 months, ₹3.2 Cr) using GPT-4 and computer vision for 45-page loan application processing—reduced manual review time by 60% (2 hours → 20 minutes), improved turnaround from 5-7 days to 48 hours, enabled 12% conversion uplift.
- Developed predictive models for credit card engagement, identifying churn signals and behavioral patterns that increased customer retention by 15% and optimized product cross-selling strategies.
- Forged strategic partnerships with Microsoft (Azure OpenAI co-development), Intel (AI infrastructure optimization), Google Cloud (Gemini integration)—co-created cutting-edge GenAI solutions including GPT-4 for CRM automation, real-time transaction monitoring, custom transformer models for credit scoring.
- Led proof-of-concept initiatives for emerging AI: multi-agent systems for automated compliance, generative AI for personalized financial advisory, voice-enabled banking assistants—building innovation pipeline balancing 70% proven solutions, 20% pilots, 10% horizon research.
- Built GenAI Center of Excellence from ground-up to 30+ data scientists (10 core CoE + 20 embedded specialists)—established hub-and-spoke operating model serving 8 business units with reusable frameworks, best practices, and governance standards that accelerated AI adoption by 40%.
- Designed and delivered enterprise-wide AI capability programs: (1) AI Literacy for 200+ business stakeholders (awareness and use case identification), (2) Practitioner Training for 50+ data scientists (RAG architecture, prompt engineering, responsible AI), (3) Specialist Track for 10 advanced engineers (multi-agent systems, custom model training, research translation).
Principal Consultant – Enterprise Analytics
Clariant
02.2021 - 11.2022
- Engaged as internal consultant to define and execute enterprise analytics strategy across 15+ global markets (North America, Europe, APAC)—partnered with business unit heads in Sales, Operations, Finance, Supply Chain to identify high-impact analytics opportunities and drive adoption of AI-powered insights.
- Led cloud-first data modernization initiative migrating legacy Excel-based reporting to SAP Analytics Cloud and Power BI—established scalable BI infrastructure supporting 1,000+ users, saving 250+ hours per employee annually (₹18 Cr estimated productivity gain).
- Introduced enterprise analytics maturity framework to benchmark adoption, data governance, and AI-readiness across geographies, creating roadmap for progressive capability building.
- Designed and deployed customer churn prediction model using ML for specialty chemicals market—targeted 2% YoY churn reduction on ₹500 Cr revenue base, enabling proactive retention strategies worth ₹10 Cr.
- Developed dynamic pricing engine leveraging AI-driven market analysis and competitive intelligence, improving pricing compliance by 5% and contributing $2M+ in annual incremental revenue.
- Created automated BI framework across 5 business units with self-service analytics capabilities, standardizing KPI dashboards and eliminating 20+ hours/week of duplicated reporting effort.
- Built and managed multinational analytics team of 15 analysts and data engineers, establishing agile delivery methodologies and fostering collaboration across time zones to deploy scalable insights at speed.
- Facilitated analytics adoption through stakeholder enablement workshops, translating complex data science concepts into actionable business strategies and building analytics advocacy across commercial and operational teams.
- Global Specialty Chemicals Leader | $3.8B Revenue | 15+ Markets
Senior Manager – AI & Analytics
Ecolab
09.2010 - 01.2021
- Pioneered IoT-enabled predictive analytics platform analyzing sensor data from industrial cleaning and water treatment systems, reducing asset downtime by 25% and generating $1M savings per asset through optimized maintenance scheduling.
- Developed machine learning models for predictive maintenance of reverse osmosis plants, forecasting failure patterns and extending asset lifecycle—saving millions in unplanned downtime and replacement costs.
- Integrated ML models into production systems collaborating with IT and industrial engineering teams to embed intelligence into energy efficiency, water optimization, and process control workflows.
- Built and deployed AR-powered sales toolkit during COVID-19 pandemic, enabling remote customer engagement and virtual equipment demonstrations—increasing sales productivity by 2% and conversion rates across 50+ enterprise clients despite market disruption.
- Orchestrated automation of compliance and reporting processes using RPA and analytics, delivering $10M in bottom-line impact and 35% boost in sales efficiency through streamlined workflows.
- Directed deployment of company-wide BI platform, achieving 50% faster reporting cycles and 100% audit compliance while establishing data governance standards and quality frameworks.
- Spearheaded AI capability development programs, mentoring 200+ global professionals across sales, operations, and technical teams—enabling cross-departmental use of ML and analytics tools and creating self-sufficient data-driven organization.
Senior Process Engineer
Empee Sugars
08.2009 - 08.2010
- Coordinated IoT deployment across 3 manufacturing lines, improving process efficiency by 18% through sensor integration and real-time monitoring.
- Supported commissioning of 3 water treatment facilities, aligning construction, engineering, and operations to complete projects on time and within budget.
Education
Master of Science - Deep Learning, Neural Networks, Statistical Modeling
Liverpool John Moores University
London, UK06-2022
Master of Science - Deep Learning, NLP, Computer Vision
IIIT Bangalore
Bangalore, India05-2021
Bachelor of Science - Chemical Engineering
Anna University
Chennai, India04-2009
Skills
- Generative AI and LLMs
- GPT-4 and Claude
- Gemini and Llama-2
- Custom LLMs and LoRA
- QLoRA and Lang Chain
- Lang Graph and AutoGen
- RAG architecture
- Azure OpenAI and GCP Vertex AI
- AWS Bedrock
- Power BI and SAP Analytics Cloud
- Tableau and dynamic pricing engines
- Digital strategy and risk mitigation
- Operational efficiency and enterprise automation
- C-suite advisory and P&L management
- Building global teams
- Responsible AI governance and RBI compliance
- Bias detection and explainable AI
- Regulatory compliance including GDPR
- Model risk management and privacy-preserving AI
Open To Relocate
True
Relocation Cities
- Mumbai
- Chennai
- Hyderabad
- Bangalore
- Pune
- Delhi NCR
Recognition
Top 100 AI Leader – Thinkers360 (2025), LinkedIn Top Voice – AI (2024), VP, International Society of Data Scientists – Mentoring 10K+ AI practitioners globally, Keynote Speaker – AI Summit (2023–25), Guest Lecturer at Mumbai’s leading B-schools (NMIMS, JBIMS, Symbiosis), 2 Patents – IoT-based Predictive Solutions, 4 Publications on AI/ML innovations
Personal Information
- Current CTC: INR 600000 LPA
- Expected Salary: INR 7000000 LPA (negotiable)
- Notice Period: 60 days (negotiable)
- Work Permit: Indian Citizen | Open to international assignments
Timeline
Head – Head of Generative AI & Cognitive Analytics
ICICI Bank
12.2022 - Current
Principal Consultant – Enterprise Analytics
Clariant
02.2021 - 11.2022
Senior Manager – AI & Analytics
Ecolab
09.2010 - 01.2021
Senior Process Engineer
Empee Sugars
08.2009 - 08.2010
Master of Science - Deep Learning, Neural Networks, Statistical Modeling
Liverpool John Moores University
Master of Science - Deep Learning, NLP, Computer Vision
IIIT Bangalore
Bachelor of Science - Chemical Engineering
Anna University