Associate Director, Business Insights and Analytics- Data Science

Merck Merck · Pharma · PA

This role leads a team focused on leveraging data science, predictive analytics, and GenAI/AI models, including agentic frameworks, to drive customer and market comprehension within the healthcare industry. The primary focus is on developing actionable insights and commercial use-cases to inform launch strategies, brand growth, and customer engagement, with a secondary emphasis on the development and optimization of AI/GenAI models and agentic systems.

What you'd actually do

  1. Lead a team of business analysts, providing guidance on best practices in data analytics, data visualization and storytelling with data.
  2. Engage with BU leaders across the US commercial and DHH organization to prioritize and enhance customer engagement solutions, ultimately delivering on business performance.
  3. Serve as a subject matter expert in predictive models & prescriptive analytics, and GenAI/AI models, as well as agentic frameworks and as trusted advisor to inform commercial customer engagement decisions.
  4. Drive the implementation of new analytics and AI methodologies to optimize resource management decisions for the brand and in support of the larger portfolio.
  5. Translate complex business needs and priorities into analytical plans, providing actionable insights and effectively communicating advanced analytics to inform business decisions.

Skills

Required

  • Understanding of the pharmaceutical commercial analytics and business acumen Expertise
  • Analytics Champion: Application of advanced marketing analytics methods to inform customer engagement experience, insight generation, predictive model performance and GenAI agents to inform both operational and Marketing decisions.
  • Communication and Storytelling
  • Decision Making and Critical Thinking
  • Emotional Intelligence
  • Networking and Partnerships
  • Complex Data Management
  • pharmaceutical/biotech/healthcare industry experience
  • mining patient medical claims/EMR data
  • developing both machine learning and descriptive algorithms/modeling using such languages as Python, R studio, SAS, SQL etc.
  • development of AI/GenAI models, data pipelines as well as agent development and orchestration

Nice to have

  • MBA, MS or PhD degree

What the JD emphasized

  • producing actionable insights from analytics
  • producing actionable business insights
  • Knowledge in development of AI/GenAI models, data pipelines as well as agent development and orchestration

Other signals

  • AI/ML models
  • predictive models
  • prescriptive analytics
  • GenAI/AI models
  • agentic frameworks
  • machine learning
  • descriptive algorithms/modeling
  • AI/GenAI models
  • agent development and orchestration