Job Summary
Serve as the retail business domain expert for data, analytics, AI, and digital transformation initiatives. Drive alignment between merchandising, stores, e-commerce, supply chain, marketing, and data teams to unlock business value through data-driven decision-making.
Key Responsibilities
Retail domain leadership
Provide expertise across key retail functions:
Merchandising
Category management
Pricing and promotions
Store operations
E-commerce and omnichannel
Supply chain and inventory management
Customer loyalty and CRM
Translate business objectives into data and analytics requirements
Act as the primary liaison between business stakeholders and data teams
Data strategy and governance
Define retail data domains and business ownership
Establish data standards, business definitions, and governance processes
Drive data quality initiatives across product, customer, inventory, sales, and supplier data
Define critical business KPIs and measurement frameworks
Analytics and insights
Partner with analytics teams to build actionable dashboards and reporting solutions
Support customer segmentation and personalization initiatives
Omnichannel and customer analytics
Define metrics across:
Stores
Mobile applications
E-commerce platforms
Marketplaces
Loyalty programs
Drive a unified customer view across channels
Support customer journey and conversion funnel analysis
Supply chain and inventory analytics
Define reporting and analytics requirements for:
Demand forecasting
Replenishment
Inventory optimization
Vendor performance
Fulfillment operations
Support initiatives to reduce stock-outs, overstocks, and working capital
AI and advanced analytics
Identify AI and GenAI use cases across retail operations
Guide development of:
Demand forecasting models
Recommendation engines
Dynamic pricing solutions
Promotion optimization
Customer churn prediction
Assortment optimization
Validate business outcomes and adoption strategies
Stakeholder management
Facilitate workshops and business requirement sessions
Drive cross-functional alignment and prioritization
Skill Requirements
Retail domain expertise
10–15+ years in retail, e-commerce, consumer goods, or omnichannel retail
Deep understanding of:
Merchandising
Category management
Pricing
Promotions
Inventory planning
Customer loyalty
Omnichannel operations
Data and analytics experience
Experience with:
Enterprise data platforms
Data lakes and warehouses
BI and reporting solutions
Customer analytics
Supply chain analytics
AI and machine learning initiatives
Strong understanding of retail data models
Preferred skills
Business capability
Data capability
Data governance
Data modelling
Customer loyalty
SQL and analytics
Omnichannel operations
Power BI/Tableau
Pricing and promotions
Cloud data platforms