Owndays - Buying and Planning Lead

• 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.

1. 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.

1. 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.

1. 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.

1. 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.

1. 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
• ecosystems is a strong advantage. Consulting backgrounds are welcome, provided they come with deep operational
• exposure.

Education

• Bachelor's degree in Supply Chain, Engineering, Operations Research, Business, or a related quantitative

field; an MBA or advanced degree is preferred.

• Travel: Willingness to travel on a needs basis across global markets to work directly with vendors, manufacturing partners, and regional teams.
• The Mindset
• AI-Native Thinking You don't just use data — you build systems that generate it, interpret it, and act on it, and see

merchandise planning as a technology problem as much as an operations one.

• Precision at Scale You are energised by complexity — millions of SKUs, hundreds of vendors, multiple geographies —

and bring rigour and clarity to decisions others find overwhelming.

• Ownership Mentality When a stockout happens or inventory turns slip, you take responsibility for solving it and hold
• yourself and your team to a high standard.
• Builder's Drive You want to design new systems, challenge legacy processes, and leave behind a playbook that didn't

exist before you.

• Versatile Communication You can walk a boardroom through working capital strategy and walk a warehouse floor

with equal ease