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.
The Director sets the long-term analytics enablement roadmap leads analytics productization efforts and ensures high-quality governed and compliant use of commercial data assets. This leader acts as a trusted advisor to senior executives oversees platform adoption at scale and leads a high-performing cross-functional team that drives innovation operational excellence and measurable business impact.
Importantly this role is expected to execute on the analytics remit of the role while raising the skill level of the same across the I&A team. This means the incumbent will be balancing hands-on execution in BI/AI/analytics platforms problem-solving and data exploration while simultaneously providing strategic direction mentorship and leadership. The Director models best practices rolls up their sleeves when needed and actively supports the team in overcoming technical and organizational challenges.
This position will be closely partnered with:
Commercial leadership teams (marketing sales market access)
Insights & Analytics colleagues across U.S. Commercial
Technology partners for data integration and governance
Senior leaders across the enterprise for influence and adoption
Interactions will go beyond transactional supportrequiring influence storytelling and change management skills to ensure adoption of new analytics solutions.
Strategy & Roadmap - Define and execute the multi-year strategy for enterprise BI AI and analytics enablement to maximize commercial impact.
Commercial Use Case Prioritization - Identify evaluate and prioritize high-value analytics and AI use cases that advance brand access field and omnichannel objectives.
Platform Ownership - Serve as product owner for the AI enterprise analytics ecosystem ensuring solutions are scalable integrated and user-centric.
Governance & Compliance - Establish and maintain governance standards for data quality semantic modeling AI/ML lifecycle and compliant analytics practices.
Player-Coach Leadership - Lead mentor and develop the AI analytics enablement team while personally contributing hands-on to BI development and problem-solving.
Stakeholder Partnership - Act as a strategic advisor to senior commercial leaders by translating analytics capabilities into clear business decisions and outcomes.
AI/ML & GenAI Innovation - Drive evaluation piloting and scaling of advanced analytics AI/ML and GenAI solutions that enhance commercial performance.
Operational Excellence - Oversee delivery of high-quality dashboards reporting tools and insight workflows that improve speed-to-decision and data reliability.
Adoption & Change Management - Lead adoption efforts through training storytelling and change leadership to embed AI-first data-driven ways of working.
Vendor & Budget Oversight - Manage vendors contracts and analytics investments to ensure cost-efficient delivery of high-value capabilities.
Basic Qualifications:
Bachelors 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
Preferred Qualifications:
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.
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