Associate Director (AD), US Oncology Forecasting activation and process optimization

Job Description

Position Overview

The AD will be part of the Human Health Digital and Data Analytics (HH DDA) group, providing the US Oncology Leadership team (OLT) with analytical and data driven insights and recommendations regarding business performance for all of our Company's Oncology Portfolio, inclusive of alliance partnerships.

More specifically, the candidate will support the Pan tumor forecasting process for our oncology therapeutic products working closely with the HHDDA Forecasting team The candidate will be accountable for providing the US OLT a consolidated view and Insights of overall and tumor level trend performance as part of monthly business reviews and Investor Relation (IR) meetings. The AD will also at times develop forecast trending for mature tumors/brands in order to simplify and improve the accuracy of the foresting projections, working closely with the HHDDA forecasting team. The person will help develop the narrative and guidance around actual business performance, forecasting projections and 3rd party data availability. In addition, the AD will support the improvement and automation of HHDDA business processes such as the HHDDA project/investment prioritization.

The preferred candidate should have intellectual curiosity, entrepreneurial spirit, a consultative mindset, good understanding of healthcare & pharma marketing. This role will interface and partner with many teams in a complex matrix business environment:

Requirements:

• Demonstrated communication and leadership skills are critical in order to develop and present our business trends and results to Senior members of the US OLT and Finance.

• Ability to develop concise and decision driven presentations that will inform tactics and investment decisions made by the US OLT.

• The candidate must have demonstrated client and project management experience, having to manage multiple analytical projects simultaneously and foster collaboration within HHDDA, Finance and US oncology marketing colleagues.

• The role will also require the development of hands-on analytics and automation. We prefer the candidate have a degree in Statistics, Mathematics, Operation Research, Data Science, Engineering or any Quantitative Decision field (Master’s Degree preferred).

• Working knowledge of Microsoft Excel, PowerPoint and other analytical tools such as Python, SAS, R is a plus.

• The candidate will have at least 5 years of knowledge in developing strategic insight for Senior leaders, as well as demonstrated hands on experience with forecasting/predictive modeling techniques in the pharmaceutical industry.

• Knowledge and understanding of various 3rd party data sources, such as IQVIA , Komodo , Symphony patients claim data would be ideal but not required.

NOTICE FOR INTERNAL APPLICANTS

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