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.