In this role you will architect and scale Bloom & Wild’s non-horticultural procurement and stock planning function. You will lead a growing team, partner with cross-functional peers, and build automated, scalable systems to support rapid range expansion while maintaining high availability and controlled costs. You will shape processes, KPIs, and supplier performance to drive inventory health and margin protection. This is a ground-up transformation with measurable impact on availability, efficiency and cash flow.
Pay / Benefits
Flexible working & work from abroad
25 days holiday + birthday + flexible bank holidays
1 Volunteering day each year
Enhanced family leave and workplace nursery
Flexible training framework
Discounts on products, blooms & subscriptions
Responsibilities
Architect and scale the non-horticultural stock planning function from scratch
Lead multi-site stock availability, balancing availability with waste and cost
Develop and automate supply chain tools and AI workflows to reduce manual work
Establish standardized processes and weekly KPI reviews for proactive risk management
Coach and develop a stock planning team, building succession and resilience
De-risk new ranges by ensuring infrastructure supports higher SKU counts and inventory levels
Collaborate with commercial to right-size inventory and manage excess via third-party relationships
Provide operational support during peak periods and issues, and monitor 3PW SLA performance
Improve supplier performance through internal reporting and initiatives
Key requirements
Experience in procurement, purchasing, supply chain or supply planning with team leadership
Proven track record in scaling supply chains to absorb growth using technology and automation
Tech-savvy with ability to build automated tools using G-suite and other platforms, with AI-enabled approaches
Strong leadership and mentoring capabilities with stakeholder management
Continuous improvement mindset and ability to establish feedback loops
Proactive and hands-on, able to contribute directly during peak times
commercially and data-driven with focus on margins and working capital
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