Senior Manager Sales Operations & Data Scientist

Company Information

Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell and natural killer (NK) cell-based immunotherapy. 

Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel) in 2017. Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.

Legend Biotech is seeking Senior Manager Sales Operations & Data Scientist as part of the Commercial team based in Somerset, NJ. 

Role Overview

The role of Senior Manager, Sales Operations/Data Scientist encompasses conducting comprehensive and insightful analytics to support decision-making throughout the organization. This entails developing and implementing data models and visualizations that effectively portray the performance of Legend's CAR-T Operations and sales force, thereby identifying areas for optimization. The position requires a proactive approach to providing strategic direction to our sales organization based on data-driven insights. In addition, the individual will contribute to incentive compensation modeling and resolving intricate business problems using advanced analytical techniques and internal and external data sources. Regular interaction with other cross-functional business units is integral to the role, as is the ability to work independently and adapt to shifting priorities. The ideal candidate should be comfortable dealing with structured and unstructured real-world data, with a natural curiosity that facilitates rapid learning of Legend's business model and data infrastructure. As an integral team member, the Senior Manager will collaborate closely with other data professionals to support decision-making and drive business results. The ideal candidate will establish operational objectives and work plans to determine success of operations. They will be involved in developing, modifying and executing company policies that affect immediate operations and may also have company-wide effect. The position necessitates a high level of analytical ability, strong communication skills, and the ability to thrive in a fast-paced environment.

The Senior Manager, Sales Operations/Data Scientist role at Legend requires technical proficiency and strong critical thinking and problem-solving skills. The individual must be able to analyze complex data sets and extract meaningful insights to inform business strategies. In addition to conducting analytical work, this role involves collaboration with various teams across the organization.

Key Responsibilities  

• Utilize statistical predictive models, including regression and time series models, to identify trends, make accurate forecasts, and generate projected figures
• Leverage machine learning techniques, such as classification, collaborative filtering, association rules, sentiment analysis, and topic modeling, to gain insights from natural language data 
• Create new dashboards and self-serve capabilities that empower the field force, providing data-driven insights to leaders for sales optimization and performance management
• Drive initiatives focused on big data and advanced business analytics across diverse domains, such as product sales and marketing research
• Communicate findings effectively through reports and presentations to educate others
• Knowledge of master data management and governance concepts and process improvement disciplines
• Data quality measurement and monitoring, including definition of business rules, technical data quality rules, metrics and exceptions management and understanding of Data Governance best practices
• Develop and maintain data architecture documentation
• Develop and maintain information flow and data interchange requirements
• Drive data architecture decisions on data, analytic and reporting intiatives
• Continuously monitor and optimize the size and structure of the field team.
• Lead and manage the incentive compensation program for the sales organization.
• Collaborate with Sr Manager, Data & Analytics positio