Planner

The Planner will own the full merchandise planning cycle for an assigned division, category or brand on Ounass, Al Tayer Group’s luxury e-commerce platform. You will translate commercial and buying strategies into actionable budgets, open-to-buy plans, MSSI re-forecasts, inventory allocations and markdown decisions to maximise net sales, margin, sell-through and in-country fulfilment while mentoring junior planners.

• Develop and manage annual budgets, OTB plans and monthly re-forecasts for the assigned area.
• Analyse sales, margin and inventory data to drive optimal inventory levels and markdown strategies.
• Collaborate with buying, merchandising and commercial teams to align planning with brand and market objectives.
• Produce regular performance reports and present insights to senior leadership.
• Monitor sell-through rates and adjust plans to meet in-country fulfilment targets.
• Lead the MSSI (Merchandise Sales and Stock Index) re-forecasting process each month.
• Identify and mitigate risks related to stockouts, overstock and margin erosion.
• Develop and coach junior planners, fostering a high-performing planning team.
• Support the implementation of planning tools and process improvements.
• Ensure compliance with Al Tayer Group’s financial and operational policies.

• Bachelor’s degree in Business, Finance, Supply Chain, or related field; MBA preferred.
• 5+ years of merchandise planning experience in luxury retail or e-commerce.
• Strong analytical skills with advanced Excel/Power BI proficiency; experience with planning software (e.g., JDA, SAP APO).
• Proven ability to translate commercial strategy into actionable financial plans.
• Excellent communication and stakeholder management skills across cross-functional teams.
• Track record of driving net sales, margin and sell-through improvements.
• Leadership experience developing junior talent.
• Detail-oriented with strong organizational and time-management abilities.
• Fluency in English; Arabic is a plus.
• Ability to thrive in a fast-paced, data-driven environment.