Associate Director - US & Global Market Engagement, DHH

• BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Public Health, or equivalent scientific/ commercial discipline.

Required Experience and Skills:

• 5+ years of relevant experience delivering complex analytical projects in the pharmaceutical, biotech, consulting, or healthcare industry.
• Knowledge in mining patient medical claims/EMR data with a strategic mindset and proven record of being able to produce actionable business insights that drive positive commercial results.
• Self-motivated, proactive mindset, and ability to work independently.
• Story-telling and executive presence with senior leaders.
• Effective interpersonal skills, communication skills, and stakeholder management, including experience collaborating in a matrixed organization and ability to align stakeholders on data-driven decisions.
• Strong business acumen and consultative skills, with proven ability to comprehend business processes and commercial strategies in detail and translate these into detailed business standards/questions that power analytics.
• Effective organizational and project management skills to work effectively across the organization and manage a team of business analysts and data scientists efficiently and effectively.
• Innovative thinking with affinity toward experimentation and appropriate risk-taking, including curiosity about how agentic AI and automation can enhance commercial analytics and insight generation.
• Awareness of the opportunities, limitations, and responsible use of AI (including agentic AI) in a regulated environment (e.g., data privacy, validation of AI-generated outputs).
• Prior hands-on experience working with healthcare data especially EMR/EHR, Claims Data (i.e. IQVIA APLD, Komodo) and various data offerings.
• Travel may be required <20%.
• Ability to develop efficient programming code and software assets that provide advanced analytical functionality.

• Proven data science experience leveraging advanced statistical methods, Machine Learning/Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation is a plus.
• Knowledge of both machine learning and descriptive algorithms/modeling using such languages as Python, R studio, SAS, SQL etc.

• Understands the business context, challenge, limitation, constraints and goals to effectively match the capability of the statistical and mathematical and M/L approaches to the business, scientific and operational challenge.

, specifically as it relates to data analytics.

• MBA, MS or PhD degree is a plus.

Our Human Health Division maintains a "patient first, profits later" ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide.

Required Skills:

Advanced Analytics, Advanced Analytics, Analytical Tools, Business Acumen, Business Decisions, Business Intelligence (BI), Business Needs, Business Opportunity Identification, Data Analysis, Data Analysis Tools, Database Design, Data Curation, Data Engineering, Data Mining, Data Modeling, Data Science, Data Visualization, Executive Leadership, Growth Mindset, Human Resource Management, Ideation, Insight Generation, Machine Learning (ML), People Management, Python (Programming Language) {+ 3 more}