Senior Manager, Value and Access Transformation Initiatives

• Lead a team to develop innovative AI solutions for use cases such as anomaly detection models (with supervised, semi-supervised, unsupervised learning), agentic “co-pilot” layers to support USV&A business partners, and formulary validation tools
• Lead technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
• Lead development and integration of custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency
• Serve as product owner for all solutions built by the Transformation team to support USV&A activities until hand-off to appropriate functional owner is completed
• Accountable to drive full lifecycle of Data Science projects delivery and ability to guide data scientists in shaping the developing solutions and act as a subject matter expert in solving development and commercial questions
• Cross-collaborate with US Commercial and Technology functions for expansion and continued optimization
• Manage AI tools’ road map, working with a global cross functional team
• Summarize and Present insights to Cross functional executive leadership
• Oversee a team of 6-8 data scientists including managers and senior associates, including setting performance standards, managing their staffing, and monitoring performance
• Support finance, compliance, legal, and commercial teams to identify opportunities for value capture

• Master’s degree in computer science, statistics or STEM majors with a minimum of 8 years of Information Systems experience
• Bachelor’s degree in computer science, statistics or STEM majors with a minimum of 10 years of Information Systems experience
• Strong understanding of US pharmaceutical ecosystem and patient support services offerings (e.g., copay) and other standard data sets including claims, prescription, integrated EMR
• 3-5 years of pharmaceutical or biotech industry experience, ideally with hands-on involvement in Gross-to-Net (GTN), revenue forecasting, product launches, and commercial strategy support
• Experience with one or more analytic software tools or languages like R and Python
• Strong foundation in machine learning algorithms and techniques

• Experience in leading data science projects and managing large teams
• Knowledge of NLP techniques for text analysis and sentiment analysis
• Experience in analyzing time-series data for forecasting and trend analysis
• Experience with AWS, Azure, or Google Cloud
• Experience with Databricks platform for data analytics and MLOps
• Professional Certifications
• Any AWS Developer certification (preferred)
• Any Python and ML certification (preferred)
• Initiative to explore alternate technology and approaches to solving problems
• Skilled in breaking down problems, documenting problem statements, and estimating efforts
• Excellent analytical and troubleshooting skills
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation
• Ability to manage multiple priorities successfully
• Team-oriented, with a focus on achieving team goals

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards