Lead of Digital Marketing Measurement and Data Science

Overview In this role you will lead digital marketing measurement and data science to drive US business performance. You will analyze digital data across CRM, paid media, and websites to assess promotion effectiveness and guide optimization. You will develop statistical and machine learning models in partnership with US Marketing, US BIO, and agencies, focusing on neuropsychiatry analytics. Your work will translate complex data into actionable recommendations that shape marketing strategy and resource allocation. Compensation / Benefitsmedical, dental, vision, life insurancefitness and wellness programsdisability insurancepaid vacation and year-end shutdownpaid holidays and personal time off 401(k) with company match Responsibilities Collaborate with product managers, omnichannel teams, field excellence, and agencies to define business questions and marketing objectives Perform patient journey analyses, HCP segmentation, and marketing mix optimization from a digital measurement perspective Develop and implement data-driven solutions using advanced analytics, ML, and AI tools to support optimization and resource allocation Lead development of statistical and ML models to quantify effects on patients and healthcare journeys via digital channels Build omni-channel, model-based marketing solutions using healthcare data to optimize message delivery across channels Create attribution models to optimize timing and delivery of messages across channels Develop patient journey insights to understand symptom-to-diagnosis pathways Provide recommendations to US brand managers on HCP reach by field, email, media, and website by monitoring channel KPIsInitiate and oversee analyses with internal teams and lead external partners on monthly, quarterly, and ad-hoc deliverables Partner with third-party vendors/agencies to define measurement strategy and ensure data availability for program evaluation Key requirements Bachelor's degree; advanced technical degree preferred (math, physics, engineering, finance, or computer science)Minimum 5 years in an advanced analytics role Experience building models for media mix analysis Ability to translate technical information to non-technical stakeholders Experience in model development, validation, and implementation Experience with large datasets and SQL for data extraction Proficiency in Python or R for analysis and modeling Deep experience with CRM analytics, website analytics, digital media analytics, and digital media strategy Ability to use digital data to inform media and digital marketing strategy Strong problem-solving, with iterative solution delivery Cross-functional collaboration with Insights & Analytics, Field Excellence, Omnichannel Excellence, and Alliance Partners Consulting skills: clear communication, structured deliverables, attention to detail, teamworkstrong communicationcollaborationcuriositymedia mix modelingML and predictive modelingattribution modeling