This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The Director, AI Analytics & Reporting Enablement provides strategic leadership for enterprise analytics transformation within U.S. Commercial. This role owns the vision, strategy, and execution for scalable BI, GenAI, and advanced analytics capabilities (e.g., GiGi for Analytics using ThoughtSpot) —enabling data-driven decision-making across marketing, sales, market access, patient services, and broader enterprise teams.
Job Responsibility:
Define and execute the multi-year strategy for enterprise BI, AI, and analytics enablement to maximize commercial impact
Identify, evaluate, and prioritize high-value analytics and AI use cases that advance brand, access, field, and omnichannel objectives
Serve as product owner for the AI enterprise analytics ecosystem, ensuring solutions are scalable, integrated, and user-centric
Establish and maintain governance standards for data quality, semantic modeling, AI/ML lifecycle, and compliant analytics practices
Lead, mentor, and develop the AI analytics enablement team while personally contributing hands-on to BI development and problem-solving
Act as a strategic advisor to senior commercial leaders by translating analytics capabilities into clear business decisions and outcomes
Drive evaluation, piloting, and scaling of advanced analytics, AI/ML, and GenAI solutions that enhance commercial performance
Oversee delivery of high-quality dashboards, reporting tools, and insight workflows that improve speed-to-decision and data reliability
Lead adoption efforts through training, storytelling, and change leadership to embed AI-first, data-driven ways of working
Manage vendors, contracts, and analytics investments to ensure cost-efficient delivery of high-value capabilities
Requirements:
Bachelor's degree in quantitative or business discipline
At least 10 years of experience in analytics, data science, or business intelligence
At least 5 years of experience leading functional or cross-functional teams and driving cross-functional analytics initiatives
Experience scaling analytics platforms and driving broad enterprise adoption
Hands on experience with ThoughtSpot and Liveboards
Fluent in SQL, semantic modeling concepts, cloud data environments, and key commercial data sources (such as patient-level claims)
Proven track record of translating analytics into clear business impact as well as influencing senior stakeholders
Experience in balancing strategic leadership with hands-on technical contribution
Nice to have:
MBA or advanced degree in Data Science, Statistics, Computer Science, or related field
15+ years of experience in analytics, data science, or business intelligence
8+ years of experience leading functional or cross-functional teams and driving analytics initiatives
Hands-on experience with BI/analytics tools (ThoughtSpot, Tableau, Power BI) including semantic data modeling
Familiarity with cloud environments (AWS, Azure, GCP) and data technologies (Spark, Databricks)
Proven track record leading, building and scaling advanced analytics, AI/ML, and GenAI solutions
Ability to simplify complex analytics into compelling, actionable business narratives
Proven track record influencing VP-level stakeholders and navigating complex cross-functional environments