Senior Demand Planning & Automation Manager (£55k-£64k) at Wearewild

Senior Demand Planning & Automation Manager

Salary: £55k-£64k

Location: London, UK

Company Description: Wearewild.com is a Unilever-backed, B Corp‑certified sustainable personal care brand on a mission to eliminate single-use plastics.

Job Description: You will lead the forecasting engine at Wearewild.com, owning the global S&OP cycle across DTC and retail channels. This pivotal role combines traditional demand planning with cutting‑edge automation, tasking you to build AI‑driven tools that replace manual workflows. You’ll bridge the gap between complex data interrogation and commercial strategy to drive global scaling.

Why this role is remarkable

• Work at the intersection of sustainability and technology for a high-growth, Unilever-backed B Corp that is disrupting the personal care industry.
• High degree of technical ownership: you aren’t just reporting data; you are building the AI agents and automated systems that define how the business scales.
• Enjoy a mission-driven culture with fantastic perks, including a shiny new London office, private healthcare, and nine extra remote working days annually.

What You Will Do

• Own the end-to-end monthly S&OP cycle, reconciling bottom-up global forecasts against top-down financial targets for leadership review.
• Leverage SQL, BI tools, and AI to automate repetitive tasks and surface actionable insights from complex EPOS and retail data.
• Manage and develop a Demand Planning Executive while collaborating cross-functionally with Finance, Commercial, and Supply teams to mitigate stock risks.

The ideal candidate

• Proven experience in retail demand planning or supply chain forecasting within a fast-paced FMCG, consumer goods, or retail environment.
• Strong quantitative skills with the ability to interrogate large datasets using Excel, Google Sheets, SQL, or Business Intelligence platforms.
• A ‘high-agency’ mindset with a passion for using AI and automation to eliminate manual workflows and improve forecasting accuracy.

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