Provide strategic leadership for enterprise analytics transformation within U.S. Commercial
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
Serve as product owner for the AI enterprise analytics ecosystem
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 contributing hands-on to BI development
Act as a strategic advisor to senior commercial leaders by translating analytics capabilities into clear business decisions
Drive evaluation, piloting, and scaling of advanced analytics, AI/ML, and GenAI solutions
Oversee delivery of high-quality dashboards, reporting tools, and insight workflows
Lead adoption efforts through training and change leadership
Manage vendors, contracts, and analytics investments

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

Director, AI Analytics and Reporting Enablement

Key skills