Motilal Satyarthi

• Own and drive enterprise Data, AI, and GenAI strategy for BFSI and digital clients, acting as a trusted
advisor to CXOs on large-scale transformation initiatives.
• Manage P&L for AI & Analytics portfolio (~$6-8M), driving revenue growth through solution
innovation and account expansion.
• Serve as AI & Analytics leader for key accounts, owning delivery, stakeholder alignment, and business
outcomes.
• Lead and scale 60-70+ global team across data engineering, ML, and analytics functions.
• Oversee 5-8 concurrent transformation programs across AI, data platforms, and GenAI initiatives.
• Lead RFPs, solution design, and proposal development, winning multi-million-dollar transformation
engagements.
• Define enterprise data architecture and modern platforms including EDW modernization and real
time data pipelines.
• Deliver AI solutions including fraud detection, anomaly detection, and GenAI-based Conversational
BI platforms.
• Drive DataOps, MLOps, and automation frameworks, improving scalability and operational
efficiency.
• Delivered $20M+ business impact and improved fraud processing time by ~95% (3.5 hours → ~5
minutes).
• Built GenAI / Agentic AI capabilities, including reusable accelerators and enterprise frameworks.
• Mentor teams and establish AI CoEs, strengthening organizational capability and innovation.

• Led development of enterprise Data Science & AI platform, enabling standardized model lifecycle and
deployment across APAC.
• Established and scaled APAC Data Science CoE, managing global teams across India and the US.
• Defined enterprise analytics operating model, including governance, delivery frameworks, and
capability development.
• Partnered with business leadership to identify and deliver high-impact AI use cases across sales,
operations, and supply chain.
• Delivered AI/ML solutions generating $22M+ revenue impact, including during pandemic-driven
disruptions.
• Built scalable data pipelines and analytics frameworks supporting enterprise-wide decision
intelligence.
• Implemented model governance and monitoring frameworks to ensure reliability and adoption.
• Automated analytics workflows using Python-based frameworks, improving efficiency and scalability.

• Led enterprise CRM and analytics platform transformation, supporting sales, dealer operations, and
supply chain decision-making.
• Owned analytics roadmap, integrating customer, dealer, and operational data into a unified platform.
• Managed cross-functional teams delivering enterprise-scale analytics solutions.
• Developed predictive models for demand forecasting, inventory optimization, and dealer performance.
• Delivered AI-driven auto order generation platform, saving $1.2M costs and increasing dealer
revenue by $0.7M.
• Built data-driven decision frameworks improving operational efficiency and visibility.
• Led integration of enterprise systems into a centralized analytics platform, enabling future digital
transformation.
• Drove adoption of analytics across business units, strengthening data-driven culture.

• Delivered analytics solutions for customer acquisition, retention, and cross-sell in banking
portfolios.

• Led analytics programs for financial institutions, focusing on customer segmentation and portfolio
optimization.

• Worked with leading Middle East banks (including Islamic banking clients) on customer analytics
and campaign optimization.

• Developed credit risk and marketing analytics models for banking portfolios.

• Worked on auto lending analytics (GM Financial), including credit risk and portfolio monitoring.