Head of Planning

Cast UK; England; Hybrid; GBP 65,000 - 85,000; Full time

Job summary

A leading company in global supply chain innovation seeks a Head of Planning to spearhead data-driven forecasting and planning efforts. This role involves automating processes and enhancing stock optimization initiatives, offering the opportunity to make a direct impact in a fast-paced environment. Candidates should possess strong analytical skills, Python expertise, and a background in numerical disciplines to thrive in this challenging yet rewarding position.

Qualifications

• 3 years in demand forecasting or supply chain.
• Strong Python coding ability for data manipulation and forecasting.
• Experience with inventory principles and communication with non-technical stakeholders.

Responsibilities

• Lead forecasting and planning processes to maximize accuracy.
• Develop AI-driven models using time-series data.
• Automate planning tasks to focus on strategic decisions.

Skills

Data analysis

Forecasting

Python

Statistical forecasting

Communication

Continuous improvement

Automation

Education

Degree in Computer Science, Engineering, Physics, or Applied Mathematics

Tools

ERP Systems

MRP Systems

SQL

Time-series databases

Job description

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Head of Planning - Forecasting & Planning Data Technologist - Global Supply Chain

Location: East Sussex/London/Hybrid/Flexible
Sector: Advanced Supply Chain & Inventory Optimisation
Package: Competitive salary bonus benefits

Are you a data-driven forecasting professional with a passion for designing future-proof planning models? Do you thrive in fast-paced, complex environments where your skills can make a direct and measurable impact?

A rapidly expanding organisation at the forefront of global supply chain innovation is seeking a sharp, technically skilled forecasting and materials planning expert to revolutionise their approach to stock optimisation. With thousands of SKUs across international markets, this is your chance to turn a living, breathing supply chain into a digitally orchestrated system that anticipates demand and automates routine decisions.

What You'll Be Doing:

• Build and lead forecasting and planning processes that reduce manual interference and maximise forecast accuracy.
• Develop statistical and AI-driven models, incorporating time-series data, market signals, and stakeholder intelligence to enhance planning outcomes.
• Create tools that allow non-technical users to input valuable business insights without disrupting the modelling framework.
• Drive improved visibility on KPIs such as stock availability, forecast error, and inventory turnover.
• Enable strategic planning across product lines, geographies, and suppliers through intelligent ERP/MRP integration.
• Automate routine planning tasks to free up planners to focus on strategic decisions.
• Be the architect of a "digital twin" for the supply network - modelling different scenarios and observing real-world results.

What You Bring:

• 3 years in a data-heavy demand forecasting, material planning, or supply chain role.
• Academic background in a numerical field such as Computer Science, Engineering, Physics, or Applied Mathematics.
• Strong Python coding ability - particularly for data manipulation, modelling, and statistical forecasting.
• Experience with ERP or MRP systems (., SAP, Oracle, NetSuite) and a solid grasp of inventory principles.
• Practical understanding of supply chains including warehousing, logistics, and distribution.
• Excellent communication skills - able to convey technical information clearly to non-technical stakeholders.
• A mindset for continuous improvement, automation, and process excellence.

Bonus Points For:

• Familiarity with SQL or time-series databases (., kdb , InfluxDB).
• Experience applying lean principles to supply chain design.
• Prior involvement in rolling out integrated planning tools or systems.

Why Join?
You'll be joining an organisation that values innovation and experimentation. Here, your ideas aren't just welcome - they're essential. You'll be given the freedom to shape the future of planning and the tools to make it happen.

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Created on 25/06/2025 by TN United Kingdom