Director, Business Intelligence – Medical Affairs Join to apply for the Director, Business Intelligence – Medical Affairs role at Gilead Sciences .

If you want to know about the requirements for this role, read on for all the relevant information. This position involves leading analytics development to support strategic decision-making within Medical Affairs, collaborating with cross-functional teams, and overseeing data visualization and analytics tools development. Key Responsibilities Design models, simulations, and optimization tools using decision science frameworks to guide MA activities. Identify and track KPIs to evaluate medical activities' effectiveness. Transform data into compelling narratives for business action. Develop field analytics tools for actionable insights and reporting. Optimize territory management and KOL engagement strategies through analytics. Establish best practices and standards for data visualization and reporting. Oversee dashboard and analytics tool development using platforms like Spotfire, Power BI, or Tableau. Support integration of predictive analytics, machine learning, and AI. Collaborate with cross-functional teams to align analytics initiatives with business priorities. Present insights and models to senior leadership, translating complex data into recommendations. Stay updated on industry trends and emerging technologies in data analytics. Qualifications Bachelor’s degree in Data Science, Business Analytics, Life Sciences, or related; Master’s or MBA preferred. 10+ years in business intelligence, decision science, or analytics; 5+ years in leadership. Strong understanding of medical affairs operations and pharmaceutical lifecycle. Expertise in BI tools (Spotfire, Power BI, Tableau, Qlik) and SQL. Experience managing cross-functional projects and teams. Excellent communication and stakeholder management skills. Knowledge of territory management, KOL engagement, and field team optimization. Familiarity with cloud platforms (AWS, Azure) and advanced analytics frameworks. Experience with predictive analytics, machine learning, and AI in medical affairs. Project management certifications (PMP, Agile) are a plus.

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