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Director, AI Analytics and Reporting Enablement

United States, Philadelphia · Job Posted May 16, 2026
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Job Description

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

What we offer

  • Competitive base salary
  • Annual bonus based on company performance
  • Flexible working options available for most roles
  • Learning and career development
  • Access to healthcare & wellbeing programmes
  • Employee recognition programmes

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