Associate Director, Generative AI

Role Summary

As Associate Director, Generative AI, you will report to the Senior Director, Data Science – AI & Optimization. Based in Parsippany, NJ or Foster City, CA, you will serve as the business product owner for the feature roadmap, lead rapid prototyping including POCs and pilots, and collaborate with IT to build, scale and deploy AI and Gen AI solutions across commercial functions. You will apply Gen AI technologies to drive impact in marketing, sales, and strategy across G9 countries while ensuring alignment with regulatory frameworks and ethical standards. This role is an individual contributor position supported by offshore data scientists.

Responsibilities

• Gen AI strategy and solution development: As the business product owner, drive POCs and Pilot solutions in accordance with published enterprise frameworks and align to build, deploy and scale with IT.
• Assist business owners with AI procurement (buy) initiatives alongside IT and lead technical feasibility discussions for commercial.
• Partner with other functions (GCO and business owners when different) 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.
• Cross-functional AI initiatives: 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 (US and ex-US) 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, in partnership with IT.
• 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 OR Masters' Degree and Eight Years’ Experience OR 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.

Education

• 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.

Skills

• Technical Skills: Expertise in developing Gen AI (e.g., LLMs, GANs) products for insights & content generation.
• Technical Skills: Proficiency with cloud platforms (e.g., AWS, Databricks).
• Technical Skills: Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Technical Skills: Knowledge of AI-related regulatory frameworks (e.g., HIPAA, GDPR, FDA, EU AI Act).
• Non-technical Skills: Recognized as a credible data science expert and partner to commercial and cross-functional teams.
• Non-technical Skills: Skilled in enabling teams through tools, training, and mentorship.
• Non-technical Skills: Strong written and verbal communication skills.
• Non-technical Skills: Management experience influencing senior-level management and stakeholders.
• Non-technical Skills: Demonstrated ability to deliver complex programs with measurable impact.
• Non-technical Skills: Proven ability to scout, evaluate and pilot external AI solutions.
• Competencies: Structured Problem Solving - Demonstrates the ability to bring clarity to complex challenges by applying structured thinking, guiding teams through ambiguity, and mobilizing resources to deliver timely and effective solutions.
• Competencies: Collaborative Influence - Influences without direct authority by building trust, demonstrating subject matter expertise, and communicating with authenticity. Listens actively, adapts messaging to the audience, and uses data-driven persuasion to align stakeholders.
• Competencies: Results Orientation - Maintains a strong focus on outcomes, consistently driving toward ambitious goals—even in the face of adversity. Takes ownership, makes informed decisions, and ensures accountability to move initiatives forward.
• Competencies: Strategic - Anticipates evolving business needs and market dynamics. Translates vision into actionable plans, identifies growth opportunities, and adjusts priorities to align with long-term objectives.
• Competencies: Measurement-Driven - Champions a culture of evidence-based decision-making. Designs and executes strategies with measurable impact, leveraging KPIs and analytics to track performance and optimize results.
• Competencies: Enterprise Thinking – Advocates for decisions and actions that foster cross-functional collaboration and breaking down silos to drive unified outcomes. Encourages a big-picture perspective, long-term value creation, and a unified approach to business challenges, ensuring that decisions promote the overall health and success of the organization.
• People Leader Accountabilities: Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams.
• People Leader Accountabilities: Develop Talent - understand the skills, experience, aspirations and potential of their employees and coach them on current performance and future potential. They ensure employees receive feedback and insight needed to grow, develop and realize their purpose.
• People Leader Accountabilities: Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives, and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem.

Additional Requirements

• Occasional travel to global Gilead locations may be required.
• This is an individual contributor role, supported by a team of offshore data scientists.