Lenskart · Posted 51 days ago
Owndays - Buying and Planning Lead
The posting
key requirement, as the employer wrote it
Mission Brief: Build the Intelligence Layer That Moves Owndays' Global Merchandise Owndays is a global eyewear brand with a rapidly expanding footprint across Asia, the Middle East, and beyond.
Operating an integrated value chain across design, manufacturing, retail, and e-commerce, Owndays is building a tech-enabled, data- led omni-channel business.
With thousands of SKUs and a complex supplier network, we are reimagining how merchandise flows — from vendor to warehouse to customer — with intelligence, precision, and speed.
This is not a role about managing stock.
It is about building the intelligence layer that ensures the right product is in the right place at the right time — powered by data, driven by AI, and led by you.
As Buying, Planning & Merchandise Lead, you will own the strategic and operational command of Owndays' end-to-end merchandise flow — from demand sensing and OTB to vendor capacity and warehouse inflow — turning raw signals into precision decisions and transforming replenishment from reactive to predictive.
This is a hands-on leadership role that will require needs-based travel across Owndays' geographies — to work directly with vendors, manufacturing partners, warehouses, and regional teams as the business demands.
Core Mandate: Turning Merchandise Flow Into a Data-Led Advantage Demand Forecasting & S&OP • Global Forecast Ownership: Own demand forecasting across all categories, channels, and regions — frames, lenses, sunglasses, and accessories.
•Forecast Accuracy: Drive forecast accuracy through disciplined S&OP cycles, sell-through analysis, and seasonality modelling; set and own MAPE/WAPE targets that are best-in-class for a retailer of Owndays' complexity.
•One Demand View: Translate top-down financial plans and bottom-up category plans into a single, executable demand view.
•ML-Driven Sensing: Lead the adoption of machine learning-based demand sensing tools; partner with Data Science and Engineering to sharpen algorithms and replenishment triggers. 2.
Open-to-Buy & Buying Planning • OTB Ownership: Own the Open-to-Buy process end-to-end — building, tracking, and re-forecasting across seasons.
•Inflow & Assortment Planning: Manage inflow planning, phasing, and depth-vs-breadth decisions aligned to sales, stock cover, and margin targets; partner with buying and category teams to convert assortment plans into actionable buy quantities.
•Dynamic Forecasting: Move the organisation from static planning models to dynamic, AI-assisted forecasting that responds in real time to demand signals and fashion cycles. 3.
Vendor Capacity Planning & Procurement Intelligence • Capacity Planning: Lead capacity planning with the vendor base — aligning monthly and weekly production capacity with the demand plan, locking capacity ahead of peak periods, and managing flex during demand swings.
•Vendor Visibility: Build visibility into vendor performance across capacity utilisation, on-time delivery, and fill rates.
•Data-Backed Negotiation: Bring data to every sourcing negotiation, balancing Economic Order Quantities with the speed demands of a fashion-adjacent business, and build the supplier frameworks that make Owndays' supply relationships a genuine competitive advantage. 4.
Lead-Time Reduction & Inflow Management • Cycle Time Reduction: Drive reduction of lead times across the vendor-to-warehouse cycle through better planning rhythm, order release discipline, and vendor collaboration.
•Inbound Predictability: Improve PO-to-receipt timelines, in-transit visibility, and warehouse inbound predictability.
•Network Smoothing: Work with logistics and warehousing teams to smooth inflow, reduce bullwhip effects, and improve network-wide service levels. 5.
End-to-End Inventory Operations • Full Lifecycle Ownership: Own the full inventory lifecycle — from purchase order strategy to stock monitoring, cycle integrity, and shrinkage controls.
•Systems & Accuracy: Leverage ERP/WMS platforms to drive 98%+ inventory accuracy while continuously eliminating process waste through automation and lean principles.
•Inventory Health: Own inventory health across warehouses — turns, cover, ageing, excess — and drive allocation and replenishment models that maintain availability with controlled markdowns.
•Scalable Guardrails: Design systems and guardrails that scale as the business expands across new geographies. 6.
Cross-Functional Leadership & Data Culture • Commercial Partnership: Partner with Retail Operations, Merchandising, Finance, E-commerce, Sourcing, and Manufacturing to ensure inventory strategy serves commercial goals.
•Leadership Communication: Present insights, KPIs, and strategic recommendations to senior leadership with clarity and conviction.
•Team Building: Build, mentor, and lead a high-performance planning and merchandise supply chain team.
•Data-First Culture: Make data-driven inventory decisions the organisational norm — bring the wider team along on the journey from intuition to intelligence.
The Essentials • Experience: Proven experience in inventory management, merchandise planning, buying planning, or supply chain roles, including at least 5 years in a strategic leadership capacity.
Track Record at Scale: Demonstrated experience in high-SKU, omni-channel, or retail-at-scale environments, spanning demand forecasting, OTB management, vendor capacity planning, and lead-time reduction.
•Commercial Acumen: Strong understanding of inventory turns, fill rates, markdowns, and working capital.
Technical Depth: Hands-on fluency with ERP/WMS platforms and advanced analytics tools (e.g., SAP, Oracle, Anaplan, or equivalent), with practical experience applying forecasting methodologies — time-series, statistical, ML- assisted — to real inventory decisions.
•Domain Exposure: Background in retail, eyewear, fashion, consumer goods, or another fast-moving category with high SKU complexity; exposure to automated warehouses, phygital retail models, or in-house manufacturing ecos
Lenskart
- Open roles in India
- 76
- Hiring in
- Gurugram, Bengaluru, Delhi NCR, Delhi, Gururgam, Across Cities in India
- Applications through
- Recruitee
Counted from the roles we read off Lenskart's own hiring page today.
Lenskart
Indian eyewear e-commerce company
- Founded
- 2008
- Headquarters
- New Delhi
- CEO
- Peyush Bansal
- Founders
- Peyush Bansal
Facts from Wikidata, the open, community-edited database behind Wikipedia — check the link if something looks out of date. Funding rounds, investors and employee ratings are not shown: no free source carries them reliably.