ED, Emerging Data Products

Band

Level 7

 

Job Description Summary

This position will be located in the East Hanover, NJ site.

 

Job Description

The Insights and Decision Science (IDS) team is dedicated to enabling improved decision-making at Novartis by leveraging data and advanced analytics capabilities to generate actionable insights that drive business growth. We collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. The ED, Emerging Data Products is responsible for identifying, developing, and scaling innovative solutions that enhance business outcomes through emerging technologies, AI, and advanced data capabilities. This role focuses on evaluating and introducing novel industry products and methodologies that can significantly improve decision-making at Novartis US. 

 

By collaborating with cross-functional teams, the ED, Emerging Data Products  ensures alignment between cutting-edge technological advancements and business needs, scaling novel concepts to provide better business outcomes.  Additionally, the ED plays a critical role in fostering innovation, assessing feasibility, and effectively communicating product vision and strategy to stakeholders by introducing established industry products or concepts where they can significantly enhance decision-making.  

Key Responsibilities: 

• Develop the frameworks to identify, evaluate, and scale novel concepts that enhance business outcomes through emerging technologies, advanced data collection, data engineering, and AI-driven insights 

• Introduce and adapt established industry products and methodologies to Novartis US where they can significantly improve decision-making capabilities 

• Oversee cross-functional collaboration to assess feasibility, validate use cases, and drive adoption of emerging solutions 

• Engage with external vendors and technology partners to explore and integrate innovative tools while ensuring compliance and performance 

• Continuously monitor industry trends and advancements, working with IDS leadership to incorporate new technologies and approaches 

• Track product adoption, measure impact, and refine strategies based on feed-back and business performance metrics 

• Lead the development of strategies and innovative, AI/ML enabled approaches for identifying and treating underdiagnosed or untreated patient populations, ensuring alignment with broader organizational goals and industry trends 

• Oversee and guide analysis of NVS-procured data sources (e.g., claims data, lab / biomarker testing, EHR data, Mx / Rx data) to identify eligible patients and new patient growth opportunities from underdiagnosed and likely-to-switch patient populations  

• Encourage innovation and creative problem-solving within the team to enhance data-driven insights and treatment strategies 

• Lead cross-functional collaboration efforts, ensuring effective communication and partnership with IPST, TA portfolio teams, IDS stakeholders (like Personalize and Precision Health, Data Partnerships), and additional NVS teams (CE and Medical team) 

Essential Requirements:

• Bachelor's or master’s degree in business administration, Computer Science, Engineering, or a related field.  

• 8-10 years of experience with product lifecycle management, patient finding, or advanced analytics, ideally in the healthcare o