Verified Job
Digital Marketing
Retail Merch Growth Lead
Digital Marketing
#36380
Remote / WFH
Lenskart.com
Job Description
Build Lenskart's Hyperlocal Merchandising Growth Engine
This is a high-impact leadership role focused on redefining how merchandising drives growth across Lenskart's retail network. You will be responsible for building a consumer-backward, data-led merchandising engine that ensures every store carries the right assortment for its unique customer cohort.
As Lenskart continues to scale across geographies and formats, merchandising must evolve from a centralized assortment function into a dynamic, hyperlocal growth lever. Your mission is to create systems, frameworks, and operating rhythms that connect consumer insights, store catchments, and product selection to drive higher conversion, stronger same-store sales growth, and a superior customer experience.
This role sits at the intersection of merchandising, technology, analytics, and retail operations, offering a unique opportunity to build the future of retail merchandising at scale.
🔑 Core Mandate: Merchandising Growth & Retail Performance
1. Hyperlocal Merchandising Strategy (The Consumer Focus)
Consumer-Backwards Assortment Design:
Build and continuously refine store-level assortments based on local consumer preferences, demographics, and buying behavior to maximize relevance and sales productivity.
Catchment Intelligence:
Develop a deep understanding of store catchments, consumer cohorts, and product performance trends to drive localized merchandising decisions.
Assortment Architecture:
Define the optimal brand mix, category mix, and SKU mix across existing and new stores to maximize revenue, conversion, and inventory productivity.
Merchandising Relevance Engine:
Ensure product selections remain aligned with evolving consumer demand, local market trends, and business priorities.
2. Data-Driven Growth & Revenue Impact (The Business Focus)
Same-Store Sales Growth Ownership:
Drive measurable improvements in store productivity through intelligent assortment planning and merchandising interventions.
Analytics-Led Decision Making:
Leverage data to identify growth opportunities, uncover consumer insights, and optimize merchandising performance across the retail network.
Store Performance Optimization:
Monitor category-level and SKU-level performance to improve assortment productivity, conversion, and sell-through.
Scalable Merchandising Frameworks:
Build repeatable processes and decision-making frameworks that enable merchandising excellence as the business scales.
3. Technology, AI & Cross-Functional Leadership
AI-First Merchandising Mindset:
Leverage emerging technologies, AI, and advanced analytics to improve assortment planning, forecasting, and merchandising effectiveness.
Technology Partnership:
Work closely with Product, Technology, Data Science, and Analytics teams to build scalable merchandising tools and capabilities.
Operational Collaboration:
Partner extensively with Retail Operations teams to ensure merchandising strategies are effectively executed and continuously improved based on field feedback.
Change Leadership:
Drive adoption of data-driven merchandising practices across the organization and champion a culture of experimentation and continuous improvement.
The Essentials:
Experience:
8-12+ years of experience in merchandising, category management, retail planning, growth, or related functions, with significant leadership responsibility.
Retail & Consumer Understanding:
Strong understanding of consumer behavior, assortment planning, and retail economics.
Data & Analytics Expertise:
Highly proficient in using data to drive business decisions, identify opportunities, and measure outcomes.
Technology & AI Orientation:
Comfortable working with modern technology platforms and leveraging AI-driven tools to improve business performance.
Stakeholder Management:
Proven ability to influence and collaborate with senior stakeholders across functions.
People Leadership:
Experience managing and developing high-performing teams in fast-paced environments.
Education:
Master's degree preferred. Strong analytical, engineering, business, or quantitative backgrounds are highly valued.
🧠 The Mindset:
Consumer-Obsessed Operator
You naturally start with the customer and work backwards, ensuring every merchandising decision improves relevance and customer experience.
Strategic Yet Hands-On
You can define long-term merchandising strategy while remaining deeply involved in execution and operational problem-solving.
Data-Led Decision Maker
You rely on facts, insights, and analytics rather than intuition alone, using data to drive both strategic and tactical decisions.
Builder's Mentality
You enjoy creating systems, frameworks, and scalable processes rather than simply managing existing operations.
Collaborative Influencer
You thrive in cross-functional environments and can align teams across Retail, Operations, Technology, Product, and Analytics toward a common goal.
Technology & AI Enthusiast
You view technology as a multiplier and actively seek opportunities to leverage AI and automation to improve merchandising outcomes.
This is a high-impact leadership role focused on redefining how merchandising drives growth across Lenskart's retail network. You will be responsible for building a consumer-backward, data-led merchandising engine that ensures every store carries the right assortment for its unique customer cohort.
As Lenskart continues to scale across geographies and formats, merchandising must evolve from a centralized assortment function into a dynamic, hyperlocal growth lever. Your mission is to create systems, frameworks, and operating rhythms that connect consumer insights, store catchments, and product selection to drive higher conversion, stronger same-store sales growth, and a superior customer experience.
This role sits at the intersection of merchandising, technology, analytics, and retail operations, offering a unique opportunity to build the future of retail merchandising at scale.
🔑 Core Mandate: Merchandising Growth & Retail Performance
1. Hyperlocal Merchandising Strategy (The Consumer Focus)
Consumer-Backwards Assortment Design:
Build and continuously refine store-level assortments based on local consumer preferences, demographics, and buying behavior to maximize relevance and sales productivity.
Catchment Intelligence:
Develop a deep understanding of store catchments, consumer cohorts, and product performance trends to drive localized merchandising decisions.
Assortment Architecture:
Define the optimal brand mix, category mix, and SKU mix across existing and new stores to maximize revenue, conversion, and inventory productivity.
Merchandising Relevance Engine:
Ensure product selections remain aligned with evolving consumer demand, local market trends, and business priorities.
2. Data-Driven Growth & Revenue Impact (The Business Focus)
Same-Store Sales Growth Ownership:
Drive measurable improvements in store productivity through intelligent assortment planning and merchandising interventions.
Analytics-Led Decision Making:
Leverage data to identify growth opportunities, uncover consumer insights, and optimize merchandising performance across the retail network.
Store Performance Optimization:
Monitor category-level and SKU-level performance to improve assortment productivity, conversion, and sell-through.
Scalable Merchandising Frameworks:
Build repeatable processes and decision-making frameworks that enable merchandising excellence as the business scales.
3. Technology, AI & Cross-Functional Leadership
AI-First Merchandising Mindset:
Leverage emerging technologies, AI, and advanced analytics to improve assortment planning, forecasting, and merchandising effectiveness.
Technology Partnership:
Work closely with Product, Technology, Data Science, and Analytics teams to build scalable merchandising tools and capabilities.
Operational Collaboration:
Partner extensively with Retail Operations teams to ensure merchandising strategies are effectively executed and continuously improved based on field feedback.
Change Leadership:
Drive adoption of data-driven merchandising practices across the organization and champion a culture of experimentation and continuous improvement.
The Essentials:
Experience:
8-12+ years of experience in merchandising, category management, retail planning, growth, or related functions, with significant leadership responsibility.
Retail & Consumer Understanding:
Strong understanding of consumer behavior, assortment planning, and retail economics.
Data & Analytics Expertise:
Highly proficient in using data to drive business decisions, identify opportunities, and measure outcomes.
Technology & AI Orientation:
Comfortable working with modern technology platforms and leveraging AI-driven tools to improve business performance.
Stakeholder Management:
Proven ability to influence and collaborate with senior stakeholders across functions.
People Leadership:
Experience managing and developing high-performing teams in fast-paced environments.
Education:
Master's degree preferred. Strong analytical, engineering, business, or quantitative backgrounds are highly valued.
🧠 The Mindset:
Consumer-Obsessed Operator
You naturally start with the customer and work backwards, ensuring every merchandising decision improves relevance and customer experience.
Strategic Yet Hands-On
You can define long-term merchandising strategy while remaining deeply involved in execution and operational problem-solving.
Data-Led Decision Maker
You rely on facts, insights, and analytics rather than intuition alone, using data to drive both strategic and tactical decisions.
Builder's Mentality
You enjoy creating systems, frameworks, and scalable processes rather than simply managing existing operations.
Collaborative Influencer
You thrive in cross-functional environments and can align teams across Retail, Operations, Technology, Product, and Analytics toward a common goal.
Technology & AI Enthusiast
You view technology as a multiplier and actively seek opportunities to leverage AI and automation to improve merchandising outcomes.
