GSK Senior Director, AI Commercial Enablement & Transformation

Overview

ViiV Healthcare is a global specialty HIV company focused on researching and delivering new medicines for people living with, and at risk of, HIV. ViiV is mission-driven with a commitment to education, treatment, and improving access to care. We pursue breakthroughs in treatments, care solutions, and communities, and support sustainable community programs. We offer a broad portfolio of HIV medicines and continue to address the diverse needs of the HIV epidemic.

Our work culture is fast-paced, diverse, inclusive, competitive, and caring. ViiV is a place to belong, inviting you to bring your best and work with impact-driven teammates who strive to make a difference. This role is based at ViiV’s US Headquarters in Durham, NC (RTP Area) and may be eligible for a domestic relocation package.

The Senior Director, AI Commercial Enablement & Transformation, reporting to the VP of Customer Excellence, will be responsible for leading the commercial organizational strategy and transformation through AI/ML-powered insights, solutions, products, and platforms that drive growth, enhance customer and patient engagement, and improve operational efficiency. This role sits at the intersection of data, technology, and organizational strategy, ensuring ViiV remains at the forefront of industry disruption by embedding AI and Advanced Analytics into core business processes.

• Define and Execute AI Strategy: Develop a forward-looking commercial AI strategy aligned with ViiV’s priorities, focusing on outcomes such as revenue growth, customer and patient experience, and productivity improvements.
• AI Product Innovation & Delivery: Lead a cross-functional team to design, scale, and operationalize AI-enabled products and solutions that enable sales and marketing transformation, including personalization engines, advanced analytics, and decision-support tools.
• Generative AI Commercial Applications: Pioneer the use of Generative AI in content generation, digital sales models, omnichannel orchestration, patient engagement, and field force enablement.
• AI-Driven Customer
  
  Experience:
  
  Drive AI-enabled personalization across customer touchpoints to enhance engagement with healthcare professionals, patients, and payers.
• End-to-End Data & AI Ecosystem Leadership: Partner with enterprise data and platform teams to ensure data, analytics, and AI capabilities are scalable, robust, and embedded into commercial ways of working through effective change management, adoption, and enablement.
• Talent & Capability Building: Build and lead commercial AI product, analytics, and enablement teams, fostering a culture of continuous learning and innovation within the Customer Excellence organization.
• Enterprise Leadership: Serve as a trusted AI and transformation advisor to senior leadership, influencing strategy and capability priorities with data-backed narratives.

Basic Qualifications:

• Bachelor’s degree required
• 12+ years of experience leading AI- and analytics-enabled transformation initiatives within commercial organizations (pharma and non-pharma), including change management and sustained impact
• Experience scaling AI/ML platforms and teams in a matrixed, global organization
• Experience developing AI applications across digital engagement, omnichannel personalization, commercial forecasting, field force effectiveness, and patient identification/engagement

Preferred Qualifications:

• Advanced degree preferred (e.g., MBA or quantitative discipline such as Data Science)
• Prior experience in a marketing or sales role at a pharmaceutical company
• Proven track record of delivering measurable value through AI/ML products within biopharma, tech, or consumer industries
• Thought leadership in Generative AI, advanced analytics, and decision intelligence
• Visionary leadership with strong AI fluency and deep commercial acumen
• Proven change agent driving digital and AI adoption at scale
• Strong stakeholder engagement skills, including at C-suite and cross-functional leadership levels
• Deep understanding of responsible AI, ethics, and data privacy frameworks
• Entrepreneurial, outcome-oriented mindset with a bias for action

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