Forecasting & Analytics Lead for Global Workforce Planning

Allianz Partners; Dublin; Hybrid; EUR 90,000 - 140,000; Full time

Job summary

Allianz Partners is seeking a Global Forecasting & Analytics Lead for Workforce Management within AP Health Operations. The role focuses on developing accurate demand forecasts, analyzing data, and applying time-series techniques to support capacity planning and recruitment across multiple sites and languages.

You will lead data quality efforts, present forecasts to stakeholders, and mentor junior forecasters while leveraging AI-enabled tools to improve efficiency in a hybrid environment.

Qualifications

• Experience building forecasting models using time-series techniques.
• Ability to collect data from BI teams and understand demand drivers.
• Proven data governance and data integrity practices.

Responsibilities

• Collect data for forecasting and work with operations to understand demand drivers.
• Own data quality checks and uphold data integrity in the WFM system.
• Build and maintain long- and short-term forecasting models across sites and work types.
• Present forecasts and recommendations to stakeholders using Excel, Power BI, and related formats.
• Convert outputs into insights for capacity planning and staffing.
• Monitor forecast accuracy and trigger reforecasts as needed.
• Design AI-assisted forecasting enhancements to reduce manual effort.
• Document methodologies and coach junior forecasters.

Skills

Forecasting

Time-series modeling

Data quality

Stakeholder communication

Leadership & coaching

Tools

Excel

Power BI

Job description

Allianz Partners is seeking a Global Forecasting & Analytics Lead for Workforce Management within AP Health Operations. The role focuses on developing accurate demand forecasts, analyzing data, and applying time-series techniques to support capacity planning and recruitment across multiple sites and languages.

You will lead data quality efforts, present forecasts to stakeholders, and mentor junior forecasters while leveraging AI-enabled tools to improve efficiency in a hybrid environment.