[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-forecasting-lead-allianz-insurance-de-ie":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":12,"featured_until":7,"is_active":13,"deactivated_at":7,"is_enriched":13,"processed_job_posting_json":14,"processed_latitude":68,"processed_longitude":69,"processed_employment_types":70,"processed_working_hours":71,"processed_working_hours_labels":73,"processed_home_office":74,"processed_salary_min":65,"processed_salary_max":66,"processed_salary_currency":62,"processed_salary_source":75,"processed_benefits":76,"processed_benefits_labels":80,"processed_industry":81,"processed_skills":7,"processed_job_location":82,"processed_full_address_gmaps":84,"processed_street_gmaps":86,"processed_city_gmaps":87,"processed_postal_code_gmaps":88,"processed_country_gmaps":89,"processed_country_iso_code_gmaps":91,"full_description":17,"formatted_description":92,"processed_employment_types_labels":36,"processed_home_office_labels":34,"processed_industry_labels":38,"processed_it_skills":93,"processed_it_skills_labels":97,"processed_soft_skills":98,"processed_soft_skills_labels":99,"processed_job_expertise_skills":100,"processed_job_expertise_skills_labels":101,"processed_language_requirements":102,"processed_total_experience_years":109,"processed_professional_field":110,"processed_professional_field_labels":113,"processed_leadership_role":13,"processed_date_posted":20,"raw_job_url":114,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":81,"canonical_industry_label":38,"max_cpc":115,"actual_cpc":7},71229,"forecasting-lead-allianz-insurance","Forecasting Lead",null,{"name":9,"slug":10,"logo_url":11},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",false,true,{"@context":15,"@type":16,"title":6,"description":17,"hiringOrganization":18,"datePosted":20,"validThrough":21,"jobLocation":22,"jobLocationType":34,"employmentType":35,"industry":37,"skills":39,"baseSalary":60},"https:\u002F\u002Fschema.org\u002F","JobPosting","\u003Cp>\u003Cspan style=\"font-size: 14pt;\">\u003Cstrong>\u003Cspan style=\"font-family: Arial, sans-serif; color: #095797;\">Global Forecasting & Analytics Lead, Workforce Management, AP Health Operations\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>\u003Cspan style=\"font-family: Arial, sans-serif; color: #095797;\">About the role\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp style=\"margin: 0cm; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">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. \u003C\u002Fspan>\u003C\u002Fp>\u003Cp style=\"margin: 0cm; font-size: 11pt; font-family: Arial, sans-serif;\"> \u003C\u002Fp>\u003Cp style=\"margin: 0cm; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">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. \u003C\u002Fspan>\u003C\u002Fp>\u003Cp style=\"margin: 0cm; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">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.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp style=\"margin: 0cm; font-size: 11pt; font-family: Arial, sans-serif;\"> \u003C\u002Fp>\u003Cp style=\"margin: 0cm; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">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.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp style=\"margin: 0cm; font-size: 11pt; font-family: Arial, sans-serif;\"> \u003C\u002Fp>\u003Cp style=\"margin: 0cm; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">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.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp style=\"margin: 0cm; font-size: 11pt; font-family: Arial, sans-serif;\"> \u003C\u002Fp>\u003Cp style=\"margin: 0.45pt 0cm 0cm; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">This is a hybrid analytics \u002F workforce-planning role. If you have the data skills and are curious about workforce forecasting, we encourage you to apply even without WFM experience\u003C\u002Fspan>\u003C\u002Fp>\u003Cp style=\"margin: 0.45pt 0cm 0cm; font-size: 11pt; font-family: Arial, sans-serif;\"> \u003C\u002Fp>\u003Cp style=\"margin: 0.45pt 0cm 0cm; font-size: 11pt; font-family: Arial, sans-serif;\"> \u003C\u002Fp>\u003Cp style=\"margin: 0.45pt 0cm 0cm; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cstrong>\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">What you will need\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp style=\"margin: 0.45pt 0cm 0cm; font-size: 11pt; font-family: Arial, sans-serif;\"> \u003C\u002Fp>\u003Cp style=\"margin: 0.45pt 0cm 0cm; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">Responsibilities will include, but are not limited to, the following:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp style=\"margin: 2.35pt 0cm 0cm; font-size: 11pt; font-family: Arial, sans-serif;\"> \u003C\u002Fp>\u003Cul style=\"margin-top: 2.35pt; margin-bottom: .0001pt;\">\u003Cli style=\"margin: 2.35pt 0cm 0.0001pt 7px; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">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\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"margin: 2.35pt 0cm 0.0001pt 7px; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">Own data quality and availability checks that models depend on, and uphold data integrity within the WFM system\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"margin: 2.35pt 0cm 0.0001pt 7px; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">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.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"margin: 2.35pt 0cm 0.0001pt 7px; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">Present forecasts, variance and recommendations regularly to WFM, Operations and business stakeholders, using Excel, Power BI and other formats suited to the audience\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"margin: 2.35pt 0cm 0.0001pt 7px; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">Convert model outputs into clear insights and recommendations for capacity planning, recruitment and budget FTE requirements\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"margin: 2.35pt 0cm 0.0001pt 7px; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">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\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"margin: 2.35pt 0cm 0.0001pt 7px; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">Design and build AI-assisted, low-\u002Fno-code agents and skills (via internal AllianzGPT, Claude or similar) to reduce manual forecasting effort and speed up recurring analysis\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"margin: 2.35pt 0cm 0.0001pt 7px; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">AI- \u003Cspan data-teams=\"true\">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.\u003C\u002Fspan> \u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"margin: 2.35pt 0cm 0.0001pt 7px; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">Document methodologies, model specifications and results\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"margin: 2.35pt 0cm 0.0001pt 7px; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">Coach and develop junior forecasters supporting the function\u003C\u002Fspan>\u003C\u002Fli>\u003C\u002Ful>\u003Cp style=\"margin: 0cm; font-size: 11pt; font-family: Arial, sans-serif;\"> \u003C\u002Fp>\u003Cp style=\"margin: 0cm; font-size: 11pt; font-family: Arial, sans-serif;\">\u003Cstrong>\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">Other requirements\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul style=\"margin-bottom: 0cm; margin-top: 0px;\">\u003Cli style=\"margin: 0cm 0cm 0cm 24px; font-size: 14pt; font-family: Arial, sans-serif;\">\u003Cspan style=\"font-size: 10.0pt; color: #365f91;\">Support project assignments as required\u003C\u002Fspan>\u003C\u002Fli>\u003C\u002Ful>\u003Cp> \u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cspan data-teams=\"true\"> \u003Cstrong>How We Hire\u003C\u002Fstrong>  Allianz Partners does not accept unsolicited CV’s or approaches from agencies. We only work with partners on our approved supplier lists, under contract. Any unsolicited submission will not be considered.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>106036 | Operations | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent\u003C\u002Fp> \u003Cp>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. \u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>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. \u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>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. \u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Join us\u003Cstrong>. Let's care for tomorrow.\u003C\u002Fstrong>\u003C\u002Fp>",{"@type":19,"name":9},"Organization","2026-09-15","2027-09-15",[23],{"@type":24,"address":25,"geo":30},"Place",{"@type":26,"addressLocality":27,"addressCountry":28,"addressRegion":29},"PostalAddress","Dublin","IE","County Dublin",{"@type":31,"latitude":32,"longitude":33},"GeoCoordinates",53.3498053,-6.2603097,"HYBRID",[36],"PERMANENT",[38],"Insurance",[40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59],"Excel","Power BI","WFM System","AI tools (e.g., AllianzGPT, Claude)","Time-series forecasting methods (ARIMA, SARIMA, TBATS)","Low-\u002Fno-code development","Communication","Stakeholder management","Coaching","Adaptability","Attention to detail","Analytical thinking","Workforce Management","Demand Forecasting","Capacity Planning","Data Analysis","Data Quality Assurance","Budgeting","Recruitment Planning","Project Management",{"@type":61,"currency":62,"value":63},"MonetaryAmount","EUR",{"@type":64,"minValue":65,"maxValue":66,"unitText":67},"QuantitativeValue",60000,90000,"YEAR",[32],[33],"permanent",[72],"FULL_TIME",[72],"hybrid","estimated",[77,78,79],"Inclusive workplace","Equal opportunities","Professional development",[77,78,79],"insurance",[83],"allianz, dublin, ireland",[85],"Dublin, Irland",[],[27],[],[90],"Irland",[28],"**Global Forecasting & Analytics Lead, Workforce Management, AP Health Operations**\n\n## About the role\n\nReporting 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.\n\nThis role analyzes historical data, identifies trends, and applies quantitative and qualitative techniques to generate reliable volume projections across various product lines and business segments.\nYou 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.\n\nYou 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.\n\nThe role will also involve contributions to capacity planning and recruitment, as well as the development of junior forecasters who will be supporting this role.\n\nThis is a hybrid analytics \u002F workforce-planning role. If you have the data skills and are curious about workforce forecasting, we encourage you to apply even without WFM experience\n\n**What you will need**\n\nResponsibilities will include, but are not limited to, the following:\n\n- 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\n- Own data quality and availability checks that models depend on, and uphold data integrity within the WFM system\n- 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.\n- Present forecasts, variance and recommendations regularly to WFM, Operations and business stakeholders, using Excel, Power BI and other formats suited to the audience\n- Convert model outputs into clear insights and recommendations for capacity planning, recruitment and budget FTE requirements\n- 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\n- Design and build AI-assisted, low-\u002Fno-code agents and skills (via internal AllianzGPT, Claude or similar) to reduce manual forecasting effort and speed up recurring analysis\n- 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.\n- Document methodologies, model specifications and results\n- Coach and develop junior forecasters supporting the function\n\n**Other requirements**\n\n- Support project assignments as required\n\n**How We Hire**  Allianz Partners does not accept unsolicited CV’s or approaches from agencies. We only work with partners on our approved supplier lists, under contract. Any unsolicited submission will not be considered.\n\n106036 | Operations | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent\n\nAllianz 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.\n\nAt 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.\n\nWe 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.\n\nJoin us**. Let's care for tomorrow.**",{"excel":94,"power bi":94,"wfm system":94,"low-\u002Fno-code development":95,"ai tools (e.g., allianzgpt, claude)":95,"time-series forecasting methods (arima, sarima, tbats)":96},3,2,4,[40,41,42,43,44,45],{"communication":96,"stakeholder management":96,"coaching":94,"adaptability":96,"attention to detail":96,"analytical thinking":96},[46,47,48,49,50,51],{"budgeting":95,"data analysis":96,"capacity planning":94,"demand forecasting":96,"project management":95,"recruitment planning":95,"workforce management":94,"data quality assurance":94},[52,53,54,55,56,57,58,59],{"detected_language_jobad":103,"required":104},"en",[105],[106],{"language":107,"level":108},"ENGLISH","C1",5,[111,112],"Business and Administration","Information and Communication Technologies",[111,112],"https:\u002F\u002Fcareers.allianz.com\u002Fglobal\u002Fen\u002Fjob\u002F106036\u002Fforecasting-lead",1]