Director, AI Analytics and Reporting Enablement

GSK•Philadelphia, PA

21h

About The Position

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. Stakeholder Engagement 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 support—requiring influence, storytelling, and change management skills to ensure adoption of new analytics solutions.

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 Haves

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.

Responsibilities

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.