PANGAIA

Account Manager

• Nurture and grow relationships with strategic wholesale partners; serve as main point of contact.
• Manage day-to-day wholesale account business from seasonal sell-in to in-season performance management.
• Define expansion strategy, develop pipeline and acquire accounts.
• Lead the full seasonal wholesale cycle: pre-line presentations, line reviews, order negotiations, and post-market follow-ups.
• Plan, set up, and oversee the PANGAIA showroom during fashion weeks (minimum twice per year).
• Collaborate with logistics, finance, merchandising, marketing, and other internal teams to ensure order-to-delivery execution and customer success.
• Analyze sales data, stock levels, and sell-through performance; recommend actions to maximize results.
• Negotiate pricing, terms, and marketing investments to balance growth with brand positioning and profitability.
• Monitor competitor activity, market trends, and partner feedback to inform assortment planning and commercial decisions.
• Prepare and maintain accurate sales forecasts, weekly reports, and account performance reviews.
• Travel internationally to visit key accounts and represent PANGAIA at industry events.

Wholesale Key Account Manager

Business Analyst

• Build master data management concepts and support rollout across ERP, PLM, CRM, POS, and e-commerce systems
• Ensure data accuracy, consistency, and availability across D2C and retail channels
• Design and implement data pipelines integrating transactional, operational, and customer data
• Establish governance processes for data ownership, taxonomy, and hierarchy
• Build dashboards and reports covering online and retail performance (traffic, conversion, AOV, CAC, LTV, returns, footfall, basket size, sales per sqm)
• Support omni-channel analytics and customer journey tracking across online and retail touch points
• Monitor product performance across SKUs, categories, and geographies
• Develop demand forecasting models and predictive analytics for inventory planning, replenishment, and allocation
• Use AI/ML for customer segmentation, churn predictions, and personalized recommendations
• Analyse sourcing, logistics, fulfillment, returns, and provide process efficiency and cost optimisation insights
• Enable leadership with pricing, promotions, assortment, margin, and profitability analytics
• Create analytics frameworks for customer service performance, NPS, and omni-channel engagement monitoring
• Initial focus on data consistency, master data, and scalable analytics infrastructure, evolving to advanced analytics delivery

Wholesale Key Account Manager

Data and Business Analyst