Engagement Manager - Retail Analytics and Commercial Excellence

Engagement Manager - Route to Market

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

JD for Analytics Product Lead G5 – RTM

Job Title: Engagement Manager
Domain: CPG / Retail | Commercial Excellence

About Fractal:

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is one who empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.

Role Summary

We are hiring a people with experience in Shelf Planogram initiatives, Store Clustering, and Space-Aware Assortments, backed by solid analytics capability.

Key Responsibilities

• Lead cluster-based planogram and assortment programs across store formats
  Design differentiated, space-aware assortments (not one-size-fits-all layouts)
• Use POS and store-level data to drive SKU productivity and space allocation decisions
• Apply analytics to assess space-to-sales, incrementality, cannibalization, and GMROI impact
• Document user stories, product requirements, and design specifications, and be comfortable with presenting ideas as low-fidelity wireframes.
• Collaborate with business and technical teams, translating client needs into features and structured analytical approaches, identifying possible solutions, and defining project requirements
• Exposure to Statistical Modelling in building Recommender engine, Optimization, Regression, Bayesian, and time series models on cloud
• Present actionable recommendations to category and commercial stakeholders

Required Experience and Qualifications

• 10–12 years in Retail / CPG / Consulting with 2-3 years of exposure of working in Space to Sales Optimization 
• Hands-on exposure to planogram tools (e.g., Blue Yonder/JDA, Nielsen Spaceman, etc.)
• Strong analytical skills 
• Experience working with store-level data and cluster-based assortment design
• Ability to interpret model outputs and link them to commercial decisions
• Good to have exposure to other commercial analytics AI applications (Perfect Store, Smart Ordering, Agentic AI Sales Coach,
• Bachelor’s degree in information technology, Software Engineering, Master’s in business with specific focus in AI, Operation research or a related discipline
• Self-driven individuals with an appetite for rapid career growth and a can-do attitude are most likely to succeed in this role

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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Experience Level

Mid Level