At a Glance
- Tasks: Lead global S&OP cycle and optimise demand planning with AI-driven automation.
- Company: Wearewild.com, a forward-thinking company focused on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a collaborative team driving global scaling and strategic initiatives.
- Why this job: Make a real impact by blending AI with demand planning in a dynamic environment.
- Qualifications: Strong quantitative skills and a passion for AI in forecasting.
The predicted salary is between 50000 - 65000 £ per year.
Wearewild.com is seeking a Senior Demand Planning & Automation Manager to lead the global S&OP cycle for DTC and retail, combining traditional demand planning with AI-driven automation. You will own forecasting across multiple channels and build tools to replace manual workflows, driving global scaling and strategic impact. Ideal candidates will blend strong quantitative skills with a passion for using AI to optimise forecasting accuracy and stock management, while collaborating closely with others.
AI-Driven Demand Planning & S&OP Manager (London) employer: Jack & Jill
At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.
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We think this is how you could land AI-Driven Demand Planning & S&OP Manager (London)
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We think you need these skills to ace AI-Driven Demand Planning & S&OP Manager (London)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
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