Forecasting Lead

Allianz
Dublin
Workplace: HybridFull timeFunction: Administration & Executive AssistanceSkills: ["Data integrity","Stakeholder communication","Deadline management","Curiosity","Coaching"]

Develop and maintain accurate workforce demand forecasts to support planning and capacity recommendations across an insurance enterprise. Analyze historical data to build long- and short-term time-series forecasting models (including ARIMA/SARIMA/TBATS) by site, language, and work type. Own forecasting data quality in the WFM system, monitor forecast accuracy, communicate variances to stakeholders, and use AI-assisted low/no-code agents to reduce manual effort while coaching junior forecasters.

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FursaFursa
Allianz
Allianz
2 hours ago

Forecasting Lead

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Develop and maintain accurate workforce demand forecasts to support planning and capacity recommendations across an insurance enterprise. Analyze historical data to build long- and short-term time-series forecasting models (including ARIMA/SARIMA/TBATS) by site, language, and work type. Own forecasting data quality in the WFM system, monitor forecast accuracy, communicate variances to stakeholders, and use AI-assisted low/no-code agents to reduce manual effort while coaching junior forecasters.
Location: Dublin
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Administration & Executive Assistance
Seniority: Sr. Manager level

Key Responsibilities

  • •Develop demand forecasts to support demand planning for an insurance enterprise across product lines and business segments.
  • •Build and maintain forecasting models (long- and short-term) using time-series methods across multiple sites, languages, and work types.
  • •Ensure data quality and availability for forecasting models, upholding integrity within the WFM system.
  • •Monitor forecast accuracy and variance against actuals, assess business change impact, and trigger reforecasts as needed.
  • •Design AI-assisted, low-/no-code agents to reduce manual forecasting effort and speed up recurring analysis; document methodologies and results.

Key Requirements

  • •Collect forecasting inputs from the Business Intelligence team and partner with operations teams to understand demand drivers.
  • •Own data quality, availability checks, and data integrity within the WFM system used for forecasting models.
  • •Build and maintain long- and short-term forecasting models using time-series methods such as ARIMA, SARIMA, and TBATS.
  • •Present forecasts, variance, and recommendations regularly to WFM, Operations, and business stakeholders using tools like Excel and Power BI.
  • •Coach and develop junior forecasters supporting the function.
Skills:Data integrityStakeholder communicationDeadline managementCuriosityCoaching
Tech Stack:ExcelPower BIWFM systemARIMASARIMATBATSAllianzGPTClaudeMachine learningCloud-based tools

Company Brief

Allianz
Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.
Industry: Insurance
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Munich, Germany
Founded: 1890
WebsiteLinkedIn