Senior Client Partner, Retail

Our client is looking for a Senior Client Partner, with specialized experience in the Retail industry to drive impactful client relationships and fuel business growth. As a Senior Client Partner within the Retail domain, you will play a key role in developing and expanding strategic client relationships, driving AI-first solutions across retailers, e-commerce players, consumer goods companies, and omni-channel businesses. You will lead client engagements and act as a trusted strategic advisor, aligning AI, data, and digital transformation initiatives with client objectives to deliver measurable outcomes such as improved customer experience, supply chain efficiency, and revenue growth. Key Responsibilities • Build and deepen relationships with Senior Stakeholders in leading Retail and Consumer organizations. • Own the revenue and growth targets for one or more retail accounts. • Lead account planning, mining, and farming activities. • Act as a trusted partner by understanding the intersection of business strategy, customer behavior, supply chain dynamics, and AI/Data Analytics capabilities. • Collaborate with Data Analytics / Engineering and Presales teams to define customized solutions using AI/ML, Data, and Analytics. • Partner with the GTMs and Delivery team to ensure high-quality execution and client satisfaction. • Act as the escalation point and ensure SLAs are met. • Support new business development efforts via proposals, SOWs, and pitch decks. • Work with marketing teams to develop AI-led value propositions for the Retail vertical. Requirements • 8-12 years in Client-facing roles (e.g., Account management, Consulting, Pre-sales). • Prior experience working with or selling to Retail, E-commerce, or Consumer Goods clients is a must. • Strong understanding of AI/ML, data platforms, or analytics solutions. • Experience managing minimum $10M accounts or portfolios is a plus. Technical Fluency • Ability to understand and position AI-driven solutions (e.g., personalized recommendations, demand forecasting, computer vision for store analytics, pricing optimization). • Exposure to modern Data platforms (e.g., Master Data Management, Informatica, Snowflake, Databricks, Azure, AWS). • Comfort working with technical teams to translate business problems into Data Analytics and AI/ML solutions. Soft Skills • Executive presence and ability to influence C-suite stakeholders. • Strong written and verbal communication skills. • Entrepreneurial mindset and ability to work in a fast-paced, evolving environment.