About the role
Forecasting Consultant
Job Description
Forecasting Delivery and Analysis
• Oversee assigned forecasting work across IBU markets and disease areas, from development through delivery. This includes short- and long-term demand forecasts, forecasts for existing products and new launches, patient-based models covering prevalence and disease progression, demand-based models, scenario and sensitivity analyses, assumption updates, and forecast accuracy reporting.
• Develop forecasting approaches to address complex planning questions. Translate stakeholder requirements into clearly defined workplans and allocate tasks based on team skills, priorities, and capacity.
• Review forecast models, assumptions, outputs, dashboards, and presentations to ensure analytical rigor, internal consistency, and clear communication before sharing them with affiliate and global stakeholders.
• Conduct and oversee analyses of commercial performance, patient dynamics, market events, epidemiological inputs, payer dynamics, and competitive trends across the EU, Asia, and the US to inform forecast assumptions and scenarios.
Stakeholder Management and Ways of Working
• Act as the primary point of contact for assigned affiliates across the EU, Asia, and the US, and for global IBU stakeholders. Clarify requirements, agree on delivery commitments, communicate risks, and align deliverables with brand planning, sales and operations planning (S&OP), and long-range planning (LRP) cycles.
• Establish efficient and consistent working practices for request intake, version control, assumption documentation, forecast scheduling, and quality review standards across geographies and time zones.
Process Improvement and Operational Excellence
• Lead initiatives to automate recurring forecasting workflows and improve efficiency. Apply AI and generative AI (GenAI) tools to accelerate assumption research, analysis of forecast deviations, narrative development, and model documentation.
• Regularly review and streamline the portfolio of forecast reports and models, identifying opportunities to standardize, automate, or improve deliverables as IBU priorities evolve.
Knowledge Skills and Experience
Education
• A bachelor's degree in Life Sciences, Statistics, Economics, or a related quantitative field is required.
• A master's degree or MBA in Analytics, Economics, Data Science, Business, or a related quantitative field is strongly preferred.
• Relevant certifications in forecasting, analytics, cloud platforms, or statistical methods are an advantage.
Experience and Technical Skills
• 3–5 years of progressively responsible experience in pharmaceutical forecasting, including initial experience in people or project leadership.
• Hands-on experience with patient-based models, including prevalence and disease-progression models, and demand-based models. Experience should cover short- and long-term forecasting for existing products and new launches, scenario planning, and forecast accuracy measurement.
• Experience across multiple geographies and disease or therapeutic areas is required, with mandatory experience supporting EU markets (e.g., EU4, the UK, the Nordics, or other European affiliates). Exposure to Asian and US markets is a strong advantage.
• In-depth knowledge of pharmaceutical forecasting methods, demand drivers, patient flow approaches, launch planning, scenario planning, assumption management, and forecast accuracy measurement in markets outside the US.
• Working knowledge of pharmaceutical data sources, including IQVIA MIDAS, local audit data, prescription and claims data, and epidemiological sources for markets outside the US.
• Familiarity with statistical and machine learning forecasting techniques, including regression methods, as well as patient-based modeling. Candidates should be able to guide methodology selection, review model outputs, and identify technical risks across the team's work.
• Advanced proficiency in Microsoft Excel is required.
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