Otsuka
Director, Commercial Data Science -CNS
Otsuka, Princeton, New Jersey, us, 08543
Job SummaryThe Business Insights & Analytics (I&A) 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 DescriptionWe are seeking a Director of Commercial Data Science 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.
This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business:
Product / Brand and Therapeutic Area (TA) Insights
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.
Collaborate Cross-Functionally:
Collaborate within the insights & analytics team, coordinating efforts with the Insights & Analytics counterparts to develop and execute a comprehensive brand analytics plan.
Deliver consolidated insights and actionable recommendations to US Commercial teams, ensuring alignment with strategic objectives and insights findings.
Work closely with cross-functional teams to ensure seamless integration of brand analytics insights into decision-making processes and strategic initiatives.
Qualifications/ RequiredKnowledge/ Experience and Skills:
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.
Educational QualificationsMinimum of bachelor's degree with 10+ years of experience, preferably in engineering, economics, statistics, computer science, or related quantitative field.
CompetenciesAccountability for Results:
Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.Strategic Thinking & Problem Solving:
Make decisions considering the long-term impact to customers, patients, employees, and the business.Patient & Customer Centricity:
Maintain an ongoing focus on the needs of our customers and/or key stakeholders.Impactful Communication:
Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.Respectful Collaboration:
Seek and value others’ perspectives and strive for diverse partnerships to enhance work toward common goals.Empowered Development:
Play an active role in professional development as a business imperative.
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Job DescriptionWe are seeking a Director of Commercial Data Science 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.
This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business:
Product / Brand and Therapeutic Area (TA) Insights
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.
Collaborate Cross-Functionally:
Collaborate within the insights & analytics team, coordinating efforts with the Insights & Analytics counterparts to develop and execute a comprehensive brand analytics plan.
Deliver consolidated insights and actionable recommendations to US Commercial teams, ensuring alignment with strategic objectives and insights findings.
Work closely with cross-functional teams to ensure seamless integration of brand analytics insights into decision-making processes and strategic initiatives.
Qualifications/ RequiredKnowledge/ Experience and Skills:
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.
Educational QualificationsMinimum of bachelor's degree with 10+ years of experience, preferably in engineering, economics, statistics, computer science, or related quantitative field.
CompetenciesAccountability for Results:
Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.Strategic Thinking & Problem Solving:
Make decisions considering the long-term impact to customers, patients, employees, and the business.Patient & Customer Centricity:
Maintain an ongoing focus on the needs of our customers and/or key stakeholders.Impactful Communication:
Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.Respectful Collaboration:
Seek and value others’ perspectives and strive for diverse partnerships to enhance work toward common goals.Empowered Development:
Play an active role in professional development as a business imperative.
#J-18808-Ljbffr