Forecasting Lead

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

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.

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 required

Full-Time | Permanent

Company Culture

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Join us. Let's care for tomorrow.