About the Company

Our client is a global enterprise AI software organization focused on delivering industry-specific solutions across key verticals, with a strong presence in retail and consumer packaged goods.

The company provides AI-driven applications designed to support retail, wholesale, logistics, and marketing operations, enabling organizations to improve decision-making, optimize processes, and enhance overall business performance. Their solutions are used by some of the world’s largest retailers, including 30 of the top 50 global grocery retailers, as well as hundreds of regional businesses and thousands of consumer brands.

Headquartered in California, the company employs over 2,500 professionals across more than 30 countries and supports over 1,500 enterprise customers globally. With a focus on applying AI in real-world environments, they continue to expand their footprint across industries including retail, financial services, manufacturing, and enterprise IT.

About the Role

We are seeking Retail Category Planning & Analytics Implementation Consultants to support the implementation and operationalization of End-to-End Category Planning processes and customer segmentation solutions.

This role combines analytics, solution implementation, and client collaboration, with a focus on ensuring successful deployment and adoption of category planning tools while supporting measurable improvements in category performance, sales growth, and assortment productivity over an 18-month implementation program.

What You Will Be Doing

Implementation & Solution Deployment

• Support implementation of End-to-End Category Planning processes and customer segmentation solutions

• Assist in configuring and deploying tools supporting Customer Decision Tree, Store Clustering, Assortment Optimization, Shelf Planning, Planogram Automation, and Floor Planning

• Participate in system configuration, testing, validation, and User Acceptance Testing

• Support integration of analytics tools into category management and merchandising workflows

• Assist in resolving implementation issues and ensuring successful deployment

Analytics & Category Planning Support

• Conduct analysis related to Customer Decision Tree development, store clustering, assortment optimization, and planogramming

• Support category review processes through preparation of analytical insights and recommendations

• Translate analytical insights into actionable category planning and merchandising recommendations

• Prepare and validate datasets required for analytics and modeling

• Support category planning processes using analytics tools and best practices

KPI Delivery & Business Impact

• Support the client in driving improvements across sales growth, category performance, assortment productivity, and shelf efficiency

• Monitor performance metrics and provide insights to optimize category strategies

• Identify opportunities to improve category performance and customer engagement

Client Engagement & Enablement

• Work closely with category management, merchandising, and insights teams

• Support workshops and working sessions related to category planning and solution usage

• Prepare documentation, analytical reports, and presentations

• Provide training and knowledge transfer to support long-term adoption

What We Are Looking For

• At least 5 years of experience in retail analytics, category management, or assortment planning

• Hands-on experience with category planning or retail space planning tools

• Experience supporting category review processes and performance analysis

• Experience supporting analytics or retail solution implementation projects

• Strong analytical and data interpretation skills

• FMCG industry experience is preferred, particularly within retail, category management, or shopper analytics

• Familiarity with POS, loyalty, shopper, or panel datasets is an advantage

• Strong communication and stakeholder engagement skills

Why This Role

• Opportunity to work on a large-scale retail transformation program focused on category planning and analytics

• Direct exposure to enterprise retail clients and complex merchandising environments

• Combination of analytics, implementation, and client-facing responsibilities

• Hands-on involvement in driving measurable business outcomes through data and insights

• 18-month program with clear scope and impact on category performance and strategy