Associate Director, Generative AI

Role Summary

As Associate Director, Generative AI, you will lead building Generative AI solutions (web and applications), define the product roadmap for in-house organic solutions, and deploy AI and Gen AI solutions across commercial functions. Based in either Parsippany, NJ or Foster City, CA, or Raleigh, NC, you will report to the Senior Director, Data Science – AI & Optimization. This role is pivotal in leveraging cutting-edge AI technologies to drive impact in commercial functions such as marketing, sales, and strategy across G9 countries while ensuring alignment with regulatory frameworks (e.g., EU AI Act) and ethical standards. You will also establish responsible AI governance frameworks in accordance with Gilead AI principles at an enterprise level and foster cross-functional collaboration to maximize business value and mitigate risk in a rapidly evolving landscape. The ideal candidate brings deep expertise in Gen AI product development, AI governance, and data science methodologies, preferably within the pharmaceutical commercial domain. You will coordinate across internal stakeholders (e.g., Enterprise Data Science Council, affiliates, functional teams) and external partners (e.g., academia, vendors) and will be responsible for articulating the business value of AI initiatives through compelling proposals and assessments as part of a cross-functional team. This is an individual contributor role, supported by a team of offshore data scientists. Occasional travel to global Gilead locations may be required.

Responsibilities

• Lead the development of Gen AI and AI capabilities by bringing in sustainable methodologies.
• Assist business owners with AI procurement (buy) initiatives alongside IT and lead technical feasibility discussions for commercial.
• Partner with other functions to support the governance of AI and tech integration of futuristic AI solutions.
• 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 EDSC to plan and develop cross-functional use cases and act as point of contact for commercial on AI policy and governance workstreams.
• Liaise with affiliates to understand the different AI requirements and help shape AI use cases, be the SME for AI use cases with all the affiliates and support by pressure testing build or buy from a data science standpoint.
• Partner with GDI and US teams in supporting AI rollouts and manage the sustainability of AI products.
• Bring in industry-wide best practices in DS and AI focusing on commercial use cases and work with EDSC on training and tools work streams.
• Lead the content for AI literacy as a member of the EDSC working group and assist in bridging commercial-specific content.

Qualifications

• Required: Bachelor's Degree and Ten Years’ Experience
• Required: Masters' Degree and Eight Years’ Experience
• Required: PhD and Two Years’ Experience
• Preferred: Bachelor’s degree with 10+ years, or Master’s degree with 8+ years, or PhD with 6+ years of relevant data science / analytics / computer science / development experience.
• Preferred: Proven success in deploying Gen AI solutions in commercial settings.
• Preferred: Experience scaling AI products and platforms from pilot to production.
• Preferred: Excellent communication skills and ability to navigate the organization while simplifying the complexity in the AI space.

Skills

• Expertise in developing Gen AI (e.g., LLMs, GANs) products for insights & 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).
• 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-level management and stakeholders.
• Demonstrated ability to deliver complex programs with measurable impact.
• Proven ability to scout, evaluate and pilot external AI solutions.
• Structured Problem Solving.
• Collaborative Influence.
• Results Orientation.
• Strategic.
• Measurement-Driven.
• Enterprise Thinking.
• Create Inclusion.
• Develop Talent.
• Empower Teams.

Additional Requirements

• Occasional travel to global Gilead locations may be required.