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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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