Responsible for the timely delivery of robust and transparent demand forecasts for strategic brands / therapy areas and key markets, including clear documentation of assumptions as well as levels of confidence / robustness
Expertly / confidently present and defend forecast approach, methodology, assumptions and output to senior leadership
Ensure objectivity and robustness around the forecast via identification of the right data sources and application of industry-leading modeling approaches, with sensitivity analyses around key variables to assist in opportunity and risk management
Demonstrate a high level of understanding of the points of integration of our work and that of our colleagues.
Develop new product introduction volume forecasts, both short-term and long-term, to champion into strategic and operational planning processes.
Support continuous improvement and innovation to evolve the existing forecasting capabilities in terms of benefit, risk / opportunity / uncertainty, methodologies (including statistical, predictive, simulations / Monte Carlo, ranges, deep knowledge of key data sets) to inform forecasts and decision-making
Proactively leverage appropriate information into forecast via a variety of tools and sources
For Global Forecasting roles: support development new forecast models as business needs arise (e.g. pipeline / early assets, LCM, business development)
For US Forecasting roles: participate in monthly S&OP process and submit volumes; support development of weekly / monthly / yearly models and conversions.
Qualifications
4+ years of direct Pharmaceutical forecasting experience with a solid knowledge of forecasting techniques, models and approaches.
Experience utilizing a range of data sources and analytics involving standard data in the Pharmaceutical industry – e.g. IQVIA (MIDAS, DDD NPA, Monthly Xponent), claims data (Truven, Marketscan), epidemiological data, etc. For US forecasting, experience with TRx / NBRx / NRx data and methodologies
Strong analytical expertise; superior Excel, financial modelling and forecasting
skillsProject management experience including risk mitigation, planning and running multiple projects running in parallel.
Ability to build trusted relationships across a range of partner groups including Marketing, Analytics, Operations, and Technology
Demonstrated experience in problem solving and continuous improvement
