Associate Director, D&A Strategy

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Job Description Associate Director, Business Insights & Analytics - US Vaccines and Infectious Disease This role sits within the DHH US Market Engagement Team for Vaccines & Infectious Disease, a core part of the US Commercial organization. The Associate Director, Business Insights & Analytics will be responsible for developing and communicating data-driven and actionable insights that drive greater customer and market understanding to inform launch brand strategies, help meet in-line brand growth and commercial objectives. This hybrid role integrates advanced data science, forecasting, targeting and segmentation, health policy analytics, and AI/ML enablement to influence decision making at scale. This person will be business facing and will "connect the dots" across the broader DHH capability ecosystem, partnering closely with teams in market research, forecasting, payer insights & analytics, data science, data strategy, and data solutions. The preferred candidate should have intellectual curiosity, entrepreneurial spirit, consultative mindset, strong understanding of healthcare & pharma marketing and will serve as a thought partner to the BIA and AA leaders. The person should be able to identify the data, analytics and research needs to define, enable, and inform commercial strategies of our brand and business leaders. In partnership with the Advanced Analytics team members, the candidate will identify, introduce, and operationalize cutting edge methodologies-including AI, machine learning, and causal inference techniques-to elevate the scientific rigor and innovation of the team's work. The person will have a growth mindset and embody a culture of continuous learning. Effective communication skills are essential for a candidate to be successful in this role. Primary Job Function and Key Responsibilities Thoroughly appreciate the assigned internal stakeholder business needs and priorities to help build analyses promoting business objectives by delivering actionable insights Be accountable for ensuring delivery of analyses with high quality standards, timeliness, compliance, and excellent user experience (routinely keep client base updated on progress) Mine and analyze data leveraging advanced analytical/statistical techniques from disparate databases/sources (claims data/EMR Data and other sources) to drive optimization and improvement of therapy area commercial business strategies Comprehend the complexity/dependencies between multiple teams, platforms (people, technologies) Convey new trends/methodologies being implemented/considered within the company ecosystem and bring new ideas forward that will enhance analytic capabilities of the organization Contribute to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria Effectively convey and positively influence stakeholders Minimum required education: A minimum of BS (or equivalent) in Marketing, Business Strategy, Business Consulting, Data Science, Computer Science or an equivalent scientific/commercial discipline. MBA or Master's or Doctorate degree in Decision Science, Marketing, Engineering, Public Health, Biological Sciences, Nursing, Pharmacy, Mathematics, Economy, Statistics, Computer Science, Medical Sciences is preferred. Required Experience & Skills: Minimum of 3 plus years of relevant knowledge using data science and/or analytical techniques to deliver measurable impact in commercial pharma landscape. Knowledge in mining medical claims/EMR, social media, etc. data with a strategic/inquisitive mindset and proven record of being able to produce actionable business insights that drive positive commercial results Provide actionable insights through analytics to commercial franchises brands at various stages of product life cycle (development, launch, maturity, end of life cycle) Strong communication skills using effective storytelling grounded on data insights Provide guidance, help define tactics and strategies to implement targeting and segmentation scheme using predictive and machine learning models Ability to extract data from various database tables using tools such as SQL to develop features to be used in analysis Comfortable with formulating actionable insights and recommendations from commercial analytics into presentations (using PowerPoint, Tableau, etc.) and presenting results to various levels of franchise management Proven knowledge of business processes and industry/market trends within the pharmaceutical/healthcare space Motivational and ethical stakeholder management and communication skills, along with the ability to convey appropriately and confidently with colleagues from different backgrounds and seniority levels Effective organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively Knowledge in developing both machine learning and descriptive algor