Head - AI Centre Of Excellence in Bombay, भारत

The Mandate : - Build and lead the company's AI Centre of Excellence (AI-COE) from the ground up - defining its structure, talent mix, operating model, and roadmap.- Drive a company-wide digital transformation agenda across product, operations, customer experience, and internal workflows.- Establish Master Data Management (MDM) as the foundation - ensuring data quality and governance that AI can reliably run on.- Integrate AI into the core product suite : warehouse management, sales forecasting, pricing, demand sensing, and route optimization.- Serve as the primary bridge between the India GCC and US headquarters - ensuring the GCC's engineering and AI talent is productively deployed against the transformation agenda.- Own the vendor and partnership landscape for AI/ML tooling, cloud infrastructure, and data platforms.- Present to the Warburg Pincus board on AI progress, investment ROI, and competitive https://jobeax.com/link/DbSewm1YJWr47PEK Responsibilities : AI-COE Leadership : - Design the COE charter : governance model, ways of working, engagement model with product/engineering teams.- Recruit and develop a team of ML engineers, data scientists, AI product managers, and platform architects.- Define and communicate the AI vision internally and externally - to customers, investors, and https://jobeax.com/link/IWb4i60PW1kbXR5X Transformation : - Audit the current technology estate and identify digital debt, automation opportunities, and AI insertion points.- Drive ERP modernisation, workflow automation, and intelligent process redesign across operations.- Partner with product leadership to embed AI into existing and next-generation https://jobeax.com/link/BiZfeV0qoyBGOBd5 Strategy & MDM : - Establish an enterprise-wide data governance framework - ownership, quality standards, lineage, and access controls.- Build the foundational data infrastructure (data warehouse / lakehouse) that supports AI/ML model training and deployment.- Drive data democratisation : self-serve analytics for customers and internal stakeholders https://jobeax.com/link/wRwpgJr1WlXK5H8X Integration : - Collaborate with the India MD to define the GCC's AI and engineering remit.- Build a high-performing distributed team model that leverages India talent for AI development, data engineering, and platform build.- Ensure time-zone-aware delivery rhythms and knowledge continuity between GCC and https://jobeax.com/link/vJLrz6NRpFc16XhI & Commercial : - Act as a thought leader with top customers - translating the AI roadmap into tangible business outcomes.- Partner with sales and product teams on AI-powered differentiation in competitive deals and renewals.- Manage AI investment portfolio - build vs. buy vs. partner decisions with a clear ROI https://jobeax.com/link/WvHE0EjedB3sgNXy Candidate Profile : Experience : - 15 - 20 years in technology leadership, with the last 5+ years in roles that blend AI/data strategy with operational transformation.- Deep experience in PE-backed or high-growth software/SaaS environments - understands the velocity and accountability that comes with PE ownership.- Hands-on background in building AI/ML platforms - not just sponsoring them. Has personally owned model development, MLOps, and production deployment.- Experience standing up or scaling a GCC / offshore delivery model is strongly preferred.- Beverage, FMCG, distribution, or supply chain domain exposure is a plus - but secondary to transformation track https://jobeax.com/link/FJD11PJz5wEi0Rat Depth : - Fluent in modern data stack : cloud data platforms (Snowflake, Databricks, BigQuery), orchestration, and ML tooling.- Strong understanding of LLM integration, GenAI application patterns, and responsible AI principles.- MDM and data governance - has built or overhauled enterprise data foundations.- API-first architecture thinking; comfortable with microservices, event-driven systems, and SaaS product https://jobeax.com/link/MOpkQtUCVB2P85R0 & Influence : - A builder mentality - energised by standing up new capabilities, not maintaining existing ones.- Able to operate from boardroom to sprint planning - equally fluent with PE investors and engineering squads.- Strong commercial instinct : ties every AI initiative back to customer value and revenue impact.- Track record of recruiting and retaining top AI/data talent in competitive markets. (ref:hirist.tech)