Senior Innovation & Business Model Analytics Manager

About the role

The Senior Manager, Innovation & Business Model Analytics provides insights and analytics expertise, primarily through the analysis and modelling of complex data, to help guide Novo Nordisk on innovation initiatives, new business model opportunities, portfolio, franchise, and brand strategy development and execution. The role supports business development, and provides holistic, insight-driven consultation and evidence-based strategic and tactical guidance to key stakeholders in Marketing, Market Access, Finance, and the Executive Office. In addition to the key stakeholders, this role partners with other stakeholders and Enterprise Insights (EI) teams to ensure proper alignment and impact on Novo Nordisk's business.

Essential Functions

• Strategic Insights & Business Analytics

• Identify business challenges and opportunities through stakeholder collaboration, scoping and executing analyses to deliver strategic guidance and actionable recommendations
• Explore new business models opportunities for Novo Nordisk through comprehensive analyses
• Develop and implement machine learning models and statistical analyses using commercial datasets
• Design and apply descriptive, predictive, and prescriptive analytics methods to answer business questions
• Explore and develop innovative AI solutions to generate comprehensive insights
• Explore new data sets and innovative integrations with other data sets to generate value adding insights
• Data Science & Exploration
• Partner with diverse cross-functional teams (e.g., Marketing, Market Access, IT) to align analytical efforts and foster strong stakeholder relationships
• Cross-Functional Collaboration & Stakeholder Engagement
• Provide guidance, quality oversight, and training to junior and extended offshore (GBS) team members
• Champion innovation and adoption of new analytical tools, staying current with industry trends and best practices
• Drive process improvements to streamline reporting, reduce manual efforts, and enhance analytical capabilities

Qualifications

• Bachelor’s degree required. Focus in Data Science, Computer Science, Business, Math, Science, or Engineering preferred. 8 years of work experience preferred / 4 years of pharma or health care analytical work experience preferred. Advanced degree, such as M.Sc., may be substituted for experience as appropriate.
• Strong problem solving and analytical skills required.
• Experience with analytics tools such as Tableau or PowerBI required.
• Coding experience in e.g., Python, R, SQL, etc. preferred.
• Required knowledge related to machine learning, including supervised, unsupervised, reinforced (deep) learning methods and ensemble learning methods. Specifically, algorithms such as k-NN, Linear and Generalized Linear Models, naïve Bayes, SVM, and Random Forest.
• Preferred knowledge related to how pharmaceutical companies market and sell products, market forces that impact decisions made to improve commercial outcomes, and how machine learning models can improve such outcomes.
• Experience setting up generative AI models preferred. Experience with agentic AI models is plus.
• Strong Microsoft Office skills – including building PowerPoint presentations – required.
• Experience working with IQVIA data preferred.
• Creative problem solving; ability to organize/manipulate data and see big picture from scattered pieces of information.
• Strong writing, presentation, and project management skills required.
• Demonstrated ability to manage multiple projects with conflicting deadlines.
• Positive and eagerness to learn, collaborate and partner with internal business colleagues.