Global Forecasting & Analytics Lead, Workforce Management, AP Health Operations

About the role

Reporting to Global Lead of Workforce Management, the Forecasting Lead is responsible for developing and maintaining accurate demand forecasts to support demand planning for a vast insurance enterprise, spanning several languages and work types.

This role analyzes historical data, identifies trends, and applies quantitative and qualitative techniques to generate reliable volume projections across various product lines and business segments.

You will need to be able to handle a dynamic and changing environment, and meet deadlines across multiple concurrent workstreams, ensuring that the business is informed of the changes and development of our customer bases, and recommendations to meet the demand as appropriate.

You will have an interest in data and take pride in preserving its integrity and accuracy to keep planning teams well informed. You will be able to use a WFM System to create and navigate forecasting models to ensure the correct ones are in place to support the needs of the business.

The role will also involve contributions to capacity planning and recruitment, as well as the development of junior forecasters who will be supporting this role.

This is a hybrid analytics / workforce-planning role. If you have the data skills and are curious about workforce forecasting, we encourage you to apply even without WFM experience

What you will need

Responsibilities will include, but are not limited to, the following:

• Collect the data needed for forecasting from the Business Intelligence team, and work with operations teams to understand demand drivers — so that you and the internal WFM team can produce the plans and deliver capacity recommendations to Operation leadership
• Own data quality and availability checks that models depend on, and uphold data integrity within the WFM system
• Build and maintain long- and short-term forecasting models using time-series methods (ARIMA, SARIMA, TBATS and similar), across multiple sites, languages and work types, front and back office.
• Present forecasts, variance and recommendations regularly to WFM, Operations and business stakeholders, using Excel, Power BI and other formats suited to the audience
• Convert model outputs into clear insights and recommendations for capacity planning, recruitment and budget FTE requirements
• Monitor forecast accuracy and variance against actuals, and assess the impact of upcoming business change (volume shifts, new work types, product launches) — triggering reforecasts and flagging risk to the planning team when either calls for it
• Design and build AI-assisted, low-/no-code agents and skills (via internal AllianzGPT, Claude or similar) to reduce manual forecasting effort and speed up recurring analysis
• AI- Work effectively in an environment shaped by artificial intelligence, machine learning, data, analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use. 
• Document methodologies, model specifications and results
• Coach and develop junior forecasters supporting the function

Other requirements

• Support project assignments as require
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