Director, Commercial Analytics and Strategy

1 week ago


Princeton, New Jersey, United States Avanir Pharmaceuticals Full time
Job Summary

The Business Insights & Analytics team is dedicated to transforming data into actionable intelligence, helping Otsuka remain competitive and innovative in the current data-driven environment. We are crucial in extracting insights from large, complex datasets to inform strategic decisions. By closely collaborating with experts from various fields, our team utilizes advanced statistical analysis, machine learning, and data visualization tools to identify patterns, trends, and correlations.

Job Description

We are seeking a Director of Commercial Advanced Analytics, Strategy and Stakeholder Management. This person will be responsible for generating and delivering data-driven insights to support a brand, therapeutic area or contribute to the development and enhancement of innovative capabilities. This role involves influencing business partners, leading the execution and interpretation of AI/ML models, framing problems, and crafting solutions, all while clearly and compellingly communicating data-driven insights.

Key Responsibilities
  • Lead advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics.
  • Influence end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations.
  • Break down technical concepts into digestible insights and guide diverse stakeholders how to interpret.
  • Continuously evaluate and enhance existing brand /TA data science capabilities, identifying opportunities for optimization and innovation to drive greater business impact and ROI.
  • Build strong relationships with key stakeholders, effectively communicating the value proposition of data science and fostering a culture of data-driven decision-making.
Requirements
  • A minimum of 6 years of experience in advanced analytics in US commercial setting, previous experience in a biotech / pharmaceutical organization, or in leading global management consulting firm
  • Extensive expertise and experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks
  • Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques
  • Experience with pharmaceutical data sources such as IQVIA, SHS, Claims, and other syndicated resources; strong understanding of Patient/Claims data (APLD) preferred
  • Extensive experience using data science models to solve problems in a business environment setting
Competencies
  • Accountability for Results
  • Strategic Thinking & Problem Solving
  • Patient & Customer Centricity
  • Impactful Communication
  • Respectful Collaboration
  • Empowered Development


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