EMEA Demand Planning Lead — Hybrid, Data-Driven Forecasting

Frey Consulting Group; Kidlington; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

An international consulting firm is seeking a Demand Planning Manager to oversee the demand planning function in the EMEA region. This role involves managing and forecasting customer demand to optimize inventory and service levels. The successful candidate will collaborate closely with various teams to drive alignment and improve forecast accuracy. The position offers a hybrid work arrangement with 2-3 days in the office in Kidlington. Candidates should have extensive experience in data analysis, forecasting, and operational processes.

Benefits

Discretionary Annual Bonus

Private Medical Insurance

Up to 5% matched pension contribution

4x annual salary life assurance

25 days annual leave plus bank holidays

Employee discounts through MyDiscounts

Salary Sacrifice Car Scheme

Cycle to work scheme

Employee Assistance Programme

Qualifications

• Extensive experience in an operational international environment.
• Proficiency in leading and managing data for strategic planning.
• Methodical and detail-oriented with a focus on continuous improvement.

Responsibilities

• Manage the demand planning function and forecast customer demand.
• Collaborate with cross-functional teams for improved forecasting.
• Drive initiatives for inventory optimization and service level enhancement.

Skills

Data analysis

Forecasting

MRP systems

Communication skills

Problem-solving

Organizational skills

Detail-oriented

Process discipline

Tools

Anaplan

Connected Planning

SO99

Job description

An international consulting firm is seeking a Demand Planning Manager to oversee the demand planning function in the EMEA region. This role involves managing and forecasting customer demand to optimize inventory and service levels. The successful candidate will collaborate closely with various teams to drive alignment and improve forecast accuracy. The position offers a hybrid work arrangement with 2-3 days in the office in Kidlington. Candidates should have extensive experience in data analysis, forecasting, and operational processes.