Jaiguru Thevar is a Snr Director Analyst with Gartner's High Tech and Investment (HTI), Emerging Market Dynamics Group and is responsible for providing business and technology insights on the enterprise AI platform layer. Key areas of research for Jaiguru Thevar include AI platform strategy, competitive differentiation, and the long-term viability of enterprise AI platforms as model capability commoditizes. He frames the AI platform layer around three pillars Trust, Value, and Viability covering AI platform trust and governance , AI value realization and ROI, and AI platform viability and commoditization dynamics. His research positions compliance as a driver of adoption, demonstrable business outcomes as the basis for renewal and expansion, and defensible concentration as the route to durable margin.
Before joining Gartner I spent 20 years building marketing, analytics, and AI/ML systems at scale across Amazon, VML/WPP, Citigroup, and HSBC — covering the full arc from credit-risk modeling through production ML systems to enterprise GenAI deployment. Most recently, as Senior Data Scientist for EMEA Marketing, Insights & Analytics at VML (WPP Group, Luxembourg), I built the EMEA operating model and analytics framework for Unilever EU, Colgate EU, Mars Pet Nutrition Europe, and Wrigley spanning Consumer Insights, Marketing Analytics, and Commercial Analytics across Media, CRM, Websites, and Digital properties in 7+ EU markets. I led cross-functional pods across Marketing, Media, CRM, Product, Engineering, and Data Science; built EU-wide segmentation frameworks condensing 30,000+ audiences into 5 actionable strategic layers using 2,000+ behavioral signals; and delivered shopper-scoring and propensity models producing +65% ROAS and –43% CPC for Colgate EU. Before VML I spent a decade at Amazon EU Marketing as Senior Manager — Analytics, Strategy & ML, owning attribution, MMM, multi-touch, forecasting, pricing elasticity, SKU profitability, and ML pipelines for €2B+ in annual EU marketing investment — delivering ~10% efficiency gains, 20% media-ROI uplift via Robyn MMM + Media Performance Optimizer, a 12-app GenAI suite for insights and decisioning, agentic AI systems on Vertex AI + MCP, and launches across Native Shopping Ads and Sponsored Products . Earlier, as Assistant Vice President — Product Analytics at Citigroup (USA), I led consumer-banking analytics covering segmentation, pricing, profitability, lifecycle, and incentive-optimization systems delivering $160M+ annual savings. I started my career at HSBC (UK) as Assistant Manager — Credit Risk, building Basel II PD/LGD/EAD models for global retail portfolios across EU, APAC, and MENA.
Amazon, Senior Manager Analytics and Data science/ Senior Product manager, 10 years
HSBC, Manager, 2 years
VML (WPP group), Data scientist, 2 years
Citi, Assistant Vice President, Analysis, 5 years
My background combines an MBA in Finance (IIT Kharagpur) with a B.Tech. in IT (Madras University), providing a unique blend of strategic finance, quantitative analysis, and engineering insight into systems and software architecture.
I maintain depth with applied AI/ML certifications (IBM Generative AI, Vanderbilt GenAI Automation, Michigan Applied ML/Text Mining, AWS AI Fundamentals) and annually refresh my hands-on toolkit. This blend of finance, engineering, and continuous AI/ML expertise allows me to bridge boardroom-level investment strategy with architect-level platform design.