Dir, Patient Intelligence Lead

Job Description Our Digital Human Health (DHH) team is transforming how we engage with and support patients throughout their healthcare journey. We are at the forefront of building a more connected, personalized, and seamless patient experience, which will be critical to helping patients to benefit from our upcoming launch products. Working cross-functionally, we are inventing new ways of leveraging digital, data, and analytics to improve health outcomes and deliver on our "patient-first" mission. Reporting to the Executive Director, Digital Patient Experience, the Director, Patient Intelligence Lead is a pivotal new role dedicated to building our predictive patient analytics capabilities. This leader will drive the creation of modular, scalable analytics products that provide insights into patient behaviors and challenges throughout the patient journey to empower our patient support organization and brand teams to improve patient outcomes across our portfolio. Primary Responsibilities: Predictive Analytics & Modeling: Lead the design, development, and deployment of predictive patient analytics models and products, focusing on critical milestones in the patient journey. Modular Capability Build: Architect and build scalable, modular analytics products that can be seamlessly adapted and deployed across various brands within our company portfolio, rather than relying on bespoke, one-off analyses. Data Visualization & Storytelling: Oversee the translation of complex predictive models into intuitive data visualizations and actionable insights, ensuring they are effectively communicated to commercial, marketing, and access stakeholders. Cross-Functional Data Leadership: Partner closely with our Commercial Technology & Solutions, Market Engagement, Commercial AI Capabilities, Patient CoE, and Brand teams to ensure the right data infrastructure, governance, and quality are in place to support advanced analytics. Team & Capability Development: Cultivate a high-performing analytics function within the DHH Patient Capabilities team, mentoring data professionals and establishing best practices for patient analytics. Required Experience and Skills: Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics, Mathematics). 10+ years of relevant experience in advanced analytics, data science, or predictive modeling within the pharmaceutical, healthcare, or related industries. Extensive hands-on experience working with patient-level healthcare data sets (e.g., claims data, EHR/EMR, specialty pharmacy data, Rx/fulfillment data). Proven ability to productize analytics—translating ad-hoc models into scalable, repeatable data products or modular capabilities. Strong proficiency in data visualization tools and translating complex data into strategic business recommendations for non-technical leadership. Demonstrated leadership experience, with the ability to manage technical resources and drive cross-functional alignment. Preferred Experience and Skills: Advanced degree (e.g., MS or PhD in Data Science, Statistics, or related quantitative field). Deep expertise in machine learning (ML) and artificial intelligence (AI) applications specific to patient behavior and commercial healthcare analytics. Prior experience working in agile product teams, collaborating closely with product managers and engineers. Familiarity with cloud-based data environments and modern data architecture (e.g., AWS, GCP). 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: Artificial Intelligence (AI), Artificial Intelligence (AI), Building Capability, Business Analysis, Clinical Leadership, Competency Management, Cross-Functional Project Management, Customer Communications, Data Analysis Tools, Data Science, Data Storytelling, Data Visualization, Data Visualization Tools, Demand Management, Healthcare Analytics, Innovation, Learning Algorithms, Liaison Work, Policy Compliance, Predictive Analytics, Procedure Development, Product Management Leadership, Requirements Management, Sourcing and Procurement, Stakeholder Relationship Management {+ 2 more} Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement​ We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts The salary range for this role is $173,200.00 - $272,600.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for a