Associate Director - US & Global Market Engagement, DHH

Merck • North Wales, PA

19h • $173,200 - $272,600

About The Position

The Associate Director resides within the Digital Human Health (DHH) Integrated Specialty Market Engagement Team, which provides strategic thought partnership to US and global commercial stakeholders. The team understands brand strategy, co-creates DHH demand and related business requirements aligned with business priorities, quarterbacks demand fulfillment, and leads activation of DHH capabilities, products, and services.

The role develops and communicates data-driven, actionable insights to deepen customer and market understanding, inform launch and go-to-market strategies, and support in-line commercial objectives. The Associate Director works as an independent contributor or leads a small team supporting commercial insight and analytics needs for US and global marketing teams. Success requires strong leadership and partnership, objectivity, comfort with ambiguity, effective communication, and a commitment to growth and continual learning.

The position calls for a consultative and strategic approach to identifying data, analytics, and research needs that define and inform commercial strategies. The candidate should understand US and ex-US data landscapes, commercial analytics capabilities, and technology, including the application of GenAI. The role also involves developing an understanding of pharmaceutical secondary data sources and translating business objectives and questions into analytical problems that can be addressed with advanced, scalable solutions. Pulmonary hypertension and technology experience, including AI and agentic AI, are preferred.

The role requires at least five years of relevant experience delivering complex analytical projects in pharmaceutical, biotech, consulting, or healthcare settings. A BS or equivalent in a relevant scientific or commercial discipline is required. The position may require travel of less than 20%. The primary location is North Wales (Upper Gwynedd), Pennsylvania. The stated base salary range for that location is $173,200 to $272,600, and the successful candidate is eligible for an annual bonus and long-term incentive, if applicable.

Requirements

• BS or equivalent in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Public Health, or an equivalent scientific or commercial discipline.
• At least 5 years of relevant experience delivering complex analytical projects in the pharmaceutical, biotech, consulting, or healthcare industry.
• Knowledge of mining patient medical claims and EMR data, with a strategic mindset and a demonstrated record of producing actionable business insights that drive positive commercial results.
• Self-motivated and proactive, with the ability to work independently.
• Storytelling skills and executive presence with senior leaders.
• Strong interpersonal, communication, and stakeholder-management skills, including experience in a matrixed organization and the ability to align stakeholders around data-driven decisions.
• Strong business acumen and consultative skills; ability to understand business processes and commercial strategies and translate them into detailed business standards and questions that enable analytics.
• Organizational and project-management skills, including the ability to work across the organization and manage business analysts and data scientists effectively.
• Innovative, experimental mindset and appropriate risk-taking; curiosity about how agentic AI and automation can improve commercial analytics and insight generation.
• Awareness of AI opportunities, limitations, and responsible use in regulated environments, including data privacy and validation of AI-generated outputs.
• Hands-on experience with healthcare data, especially EMR/EHR and claims data such as IQVIA APLD and Komodo, and other data offerings.
• Ability to develop efficient programming code and software assets that provide advanced analytical functionality.
• Understanding of business context, challenges, limitations, constraints, and goals, and ability to match statistical, mathematical, and machine-learning approaches to business, scientific, and operational challenges.
• Travel may be required less than 20%.

Nice To Haves

• Domain knowledge in Pulmonary Hypertension, particularly as it relates to data analytics.
• MBA, MS, or PhD degree.
• Proven data science experience using advanced statistical methods, machine learning/artificial intelligence, natural language processing modeling, and model evaluation.
• Knowledge of machine-learning and descriptive algorithms or modeling using languages such as Python, RStudio, SAS, or SQL.
• Experience with technology such as AI and agentic AI.

Responsibilities

• Translate business needs and priorities into analytical plans that answer business questions and deliver actionable insights; communicate advanced analytics effectively to inform business decisions.
• Collaborate with cross-functional teams in market research, forecasting, commercial analytics, data science, customer engagement, data strategy, population health, competitive insights, marketing operations, medical, and clinical functions.
• Analyze data across disparate databases and sources, including claims and EMR data, to develop insights that inform commercial business strategies.
• Monitor industry trends and advances in analytical methodologies, and propose new ideas—including GenAI applications—to enhance organizational analytic capabilities.
• Derive actionable business insights from varied data sources, develop clear data stories, and communicate them to business stakeholders.
• Lead and mentor onshore and offshore business analysts, guiding project teams on problem-solving, analytics, and modeling best practices.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior