Commercial Director, AI & Optimization

About the Role

Key Responsibilities

• Create Roadmap, Lead development, scale and roll out of internal GenAI solutions for commercial and work with IT to enable synergies for other functions.
• Partner with other functions (GCO and business owners when different) to support the governance of AI and Tech integration of futuristic AI based solutions and pressure test explainability, sustainability and roadmap for model evolution of external solutions.
• Manage and work with IT on choice of platform, and design for internally built solutions.
• Work with Enterprise Data Science Council (EDSC) to plan and develop cross functional use cases and engage on AI policy, governance, and compliance to NIST.
• Liaise with affiliates to understand different AI requirements, shape AI use cases, and support build or buy decisions from a data science standpoint.
• Bring in industry-wide best practices in Data Science and AI focusing on commercial use cases and collaborate with EDSC on training and tools work streams.
• Champion AI literacy and adoption through training and best practices.
• Serve as a secondary point of contact for measurement and optimization solutions.

Requirements

• Bachelors degree with 12+ years, or Masters with 10+ years, or PhD with 8+ years of relevant experience.
• Proven success in deploying Gen AI solutions in commercial settings.
• Experience scaling AI products and platforms from pilot to production.
• Expertise in developing Gen AI (e.g., LLMs, GANs) products for insights and content generation.
• Proficiency with cloud platforms (e.g., AWS, Databricks).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of AI related regulatory frameworks (e.g., HIPAA, GDPR, FDA, EU AI Act).
• Strong grasp of ML algorithms and tuning techniques.
• Working knowledge of BI tools (e.g., Tableau, QuickSight) and pharma data types (e.g., RWE, EMR, claims).
• Recognized as a credible data science expert and partner to commercial and cross-functional teams.
• Skilled in enabling teams through tools, training, and mentorship.
• Strong written and verbal communication skills.
• Management experience influencing senior management and stakeholders.
• Demonstrated ability to deliver complex programs with measurable impact.

Nice to Have

• Background in AI governance, risk management or compliance within pharma or similar regulated industries.
• Familiarity with performance measurement frameworks and KPIs.

Qualifications

• Educational background: Bachelor's degree with 12+ years, Master's with 10+ years, or PhD with 8+ years of relevant experience.

Benefits & Perks

• Salary range in Bay Area: $226,185.00 - $292,710.00; other US locations: $205,615.00 - $266,090.00.
• Discretionary annual bonus and stock-based long-term incentives (eligibility may vary).
• Paid time off and comprehensive benefits package including company-sponsored medical, dental, vision, and life insurance plans.
• Additional benefits information available at https://www.gilead.com/careers/compensation-benefits-and-wellbeing.