Assoc. Director - US Market Engagement - Vaccines & ID (Pneumo)

Merck•North Wales, PA
•$156,900 - $247,000•Hybrid

About The Position

This role is part of the DHH US Market Engagement Team for Vaccines within the US commercial organization. The team partners strategically with US commercial stakeholders, understands brand strategy, manages analytics requests, and defines business requirements aligned with priorities. It coordinates demand fulfillment and activation of DHH products and services to support data-driven decision-making across the vaccines portfolio. The Associate Director develops and communicates data-driven, actionable insights to deepen customer and market understanding, inform launch and go-to-market strategies, and support in-line brand growth and commercial objectives. The position serves as a business-facing analytics partner to US vaccines marketing teams, supporting commercial insights, analytics, and data science needs and helping scope, design, and deliver use cases aligned to business OKRs. The role calls for an entrepreneurial, consultative approach; understanding of healthcare and pharma, particularly vaccines; and proficiency in advanced analytics, AI, machine learning, NLP, and Agentic AI. The individual translates complex business questions into analytical problems and scalable solutions, and contributes new ideas and methodologies. This is an individual-contributor role in a matrixed environment, requiring leadership, curiosity, adaptability, collaboration, communication, and storytelling skills to influence stakeholders and drive adoption of data-informed recommendations. The role is hybrid, based in Upper Gwynedd, Pennsylvania, with an expectation of working in the office at least three days per week. Travel requirements are 10%.

Requirements

  • Bachelor's degree or equivalent in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, or Public Health.
  • At least 5 years of analytics or data science experience in pharma, biotech, or healthcare.
  • Track record applying advanced statistics, AI, machine learning, NLP, and Agentic AI to commercial business problems.
  • Proficiency in Python, R Studio, SAS, SQL, or similar tools for data extraction, feature engineering, and model development.
  • Strong experience with patient-level and healthcare data, including claims, EMR/EHR, registries, CDC, IQVIA, and other secondary sources.
  • Ability to translate business needs into structured analytical questions and data-driven recommendations.
  • Experience supporting products through their lifecycle, including development, launch, growth, maturity, and end of life.
  • Strong communication and data storytelling skills, including presenting complex findings to senior and non-technical audiences.
  • Stakeholder management and influence skills in a matrixed, cross-functional environment.
  • Project and time management capabilities, including experience leading multiple concurrent analytics initiatives and teams.
  • Self-directed, adaptable, curious, and committed to learning about AI/ML, advanced analytics, and evolving healthcare data.

Nice To Haves

  • MBA, MS, or PhD degree.
  • Vaccines experience.
  • Hands-on experience with healthcare data, especially EMR/EHR, claims data, and IQVIA data offerings.
  • Knowledge and experience of the vaccines business.

Responsibilities

  • Partner with US vaccines marketing on analytics, aligning analyses and insights to brand and portfolio priorities and OKRs.
  • Work with business stakeholders to understand key questions, clarify objectives, and translate them into well-defined analytical use cases.
  • Ensure analyses are delivered with high quality, on time, in compliance, and with an excellent user experience; keep clients updated on progress.
  • Enable prioritization and scoping discussions by understanding business demand, requests, and potential use cases.
  • Analyze claims, EMR/EHR, CDC, IQVIA, digital, CRM, and other data sources to produce actionable insights and recommendations for commercial decisions.
  • Recommend appropriate analytical approaches and AI, machine learning, NLP, and modeling techniques, with an understanding of methods and trade-offs.
  • Collaborate with data scientists, engineers, and onshore and offshore DHH teams to deliver solutions that address business questions with appropriate data, methods, and insights.
  • Support the design, development, and refinement of AI/ML and NLP solutions, including Agentic AI, by providing business context, requirements, and feedback.
  • Synthesize findings into concise stories and visualizations, and present insights to support data-driven decisions.
  • Monitor vaccine market dynamics and developments in analytics, AI, and machine learning, and bring forward ideas to enhance organizational analytic capabilities.

Benefits

  • Medical, dental, vision, healthcare, and other insurance benefits for employees and family.
  • Retirement benefits, including 401(k).
  • Paid holidays, vacation, compassionate days, and sick days.
  • Annual bonus and long-term incentive, if applicable.
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