Associate Director - US & Global Market Engagement, DHH

MSD • North Wales, PA

1d • $173,200 - $272,600

About The Position

The Associate Director resides within the Digital Human Health (DHH) Integrated Specialty Market Engagement Team, which partners strategically with US and global commercial stakeholders to understand brand strategy, co-create DHH demand and business requirements, and lead 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.

This individual contributor may also lead a small team and support commercial insight and analytics needs for US and global marketing teams. The role requires strong leadership, partnership, communication, and stakeholder-management skills, as well as the ability to work objectively and effectively amid ambiguity. The Associate Director identifies data, analytics, and research needs; translates business objectives into analytical questions and scalable solutions; and applies knowledge of US and ex-US data landscapes, commercial analytics, and technology, including GenAI. The role may involve mentoring business analysts and collaborating across a broad range of commercial, scientific, and technical functions.

The position is based primarily in North Wales (Upper Gwynedd), Pennsylvania. Travel may be required at less than 20%. The salary range for the primary location is $173,200 to $272,600, with eligibility for an annual bonus and long-term incentive, if applicable.

Requirements

• Bachelor’s degree 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 record of producing actionable insights that drive positive commercial results.
• Self-motivated and proactive, with the ability to work independently.
• Strong storytelling skills and executive presence with senior leaders.
• Effective interpersonal, communication, and stakeholder-management skills, including experience collaborating in a matrixed organization and aligning stakeholders on data-driven decisions.
• Strong business acumen and consultative skills, including the ability to understand business processes and commercial strategies and translate them into detailed business standards and analytical questions.
• Effective organizational and project-management skills, including the ability to manage business analysts and data scientists.
• Innovative and curious, with an affinity for experimentation and appropriate risk-taking, including interest in agentic AI and automation for commercial analytics and insight generation.
• Awareness of AI opportunities and 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, including data offerings such as IQVIA APLD and Komodo.
• Ability to develop efficient programming code and software assets that provide advanced analytical functionality.
• Knowledge of machine learning and descriptive algorithms or modeling using languages such as Python, R, SAS, and SQL.
• Travel may be required less than 20%.

Nice To Haves

• Pulmonary hypertension domain knowledge, particularly as it relates to data analytics.
• MBA, MS, or PhD degree.
• Data science experience using advanced statistical methods, machine learning/artificial intelligence, natural language processing modeling, and model evaluation.

Responsibilities

• Translate business needs and priorities into analytical plans that answer business questions and provide actionable insights.
• Communicate advanced analytics effectively to stakeholders to inform business decisions.
• Collaborate with cross-functional teams across market research, forecasting, commercial analytics, data science, customer engagement, data strategy, population health, competitive insights, marketing operations, medical, and clinical functions.
• Analyze data from disparate databases and sources, including claims and EMR data, to develop insights that inform commercial strategies.
• Stay current with industry trends and analytical methodologies, including GenAI, and bring forward ideas to enhance organizational analytic capabilities.
• Derive actionable business insights from multiple data sources, develop clear data stories, and communicate findings to business stakeholders.
• Lead and mentor onshore and offshore business analysts, guiding best practices in problem solving, analytics, and modeling.
• Develop efficient programming code and software assets that provide advanced analytical functionality.
• Match statistical, mathematical, and machine-learning approaches to business, scientific, and operational challenges while accounting for context, constraints, and goals.

Benefits

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

What This Job Offers

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