Associate Director, Market Engagement - Vaccines & ID (flu)
About The Position
The Associate Director – Market Engagement – Vaccines & ID (Flu) is part of the DHH Integrated Vaccines & Infectious Disease Team within the US/global commercial organization. The team provides strategic partnership to commercial stakeholders by understanding brand strategy, managing analytics requests, and defining business requirements aligned to priorities. Market Engagement leads demand fulfillment and activation of DHH products and services to enable data-driven decision-making across the vaccine portfolio. This individual develops and communicates US and ex-US data-driven insights to deepen customer and market understanding, inform launch and go-to-market strategies, and support brand growth and commercial objectives for a planned influenza prophylactic product. The role serves as a business-facing analytics partner to US and global influenza marketing teams, supporting commercial insights, analytics, and data science needs, and scoping, designing, and delivering use cases aligned to business OKRs. The position calls for an entrepreneurial, consultative approach; an understanding of healthcare and pharmaceutical markets, particularly vaccines; and proficiency in advanced analytics, AI, machine learning, NLP, and Agentic AI. The incumbent translates business questions into analytical problems and solutions, understands product lines and competitive dynamics, and contributes new ideas and methodologies to strengthen analytic capabilities. This is an individual-contributor role in a matrixed environment, requiring leadership, intellectual curiosity, adaptability, collaboration, and strong communication and storytelling to influence stakeholders and encourage adoption of data-driven recommendations. The role is hybrid, based in Upper Gwynedd, Pennsylvania, with the selected candidate expected to work 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.
- Demonstrated experience 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, such as 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 across development, launch, growth, maturity, and end-of-life stages.
- Strong communication and data storytelling skills, including presenting complex findings to senior and non-technical audiences.
- Stakeholder management and influencing skills in a matrixed, cross-functional environment.
- Project and time management skills, including experience leading multiple concurrent analytics initiatives and teams.
- Self-directed, adaptable, curious, and forward-thinking, with an interest in AI adoption, advanced analytics, and evolving healthcare data.
- Ability to connect teams and coordinate technical partners across cross-functional DHH groups.
Nice To Haves
- MBA, MS, or PhD degree.
- Experience in vaccines.
- Hands-on experience with healthcare data, especially EMR/EHR, claims, and IQVIA data offerings.
- Knowledge of global life sciences analytics, including ex-US datasets, market research, forecasting support, triangulation with desk research, advanced analytics, global market analogs, and competitive intelligence.
Responsibilities
- Partner with US and global marketing teams, aligning analyses and insights to brand and portfolio priorities and OKRs.
- Work with business stakeholders to clarify objectives and translate business questions into well-defined analytical use cases.
- Ensure analyses are delivered with high quality, on time, compliantly, and with an excellent user experience; keep clients updated on progress.
- Support prioritization and scoping by understanding business demand, requests, and potential use cases.
- Analyze data sources—including claims, EMR/EHR, CDC, IQVIA, and digital/CRM data—to generate actionable insights and commercial recommendations.
- Recommend suitable analytical approaches and AI/ML/NLP/modeling techniques, including their methods and trade-offs.
- Collaborate with data scientists, engineers, and other onshore and offshore DHH teams to ensure solutions address business questions using 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 narratives and visualizations, and present insights to support data-driven decisions.
- Monitor vaccine-market dynamics and advances in analytics, AI, and machine learning, and propose ideas to improve organizational analytic capabilities.
Benefits
- Medical, dental, and vision coverage, plus other insurance benefits for employees and families.
- Retirement benefits, including a 401(k).
- Paid holidays, vacation, compassionate days, and sick days.
- Eligibility for an annual bonus and long-term incentive, if applicable.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Director
