Associate Director, Generative AI

Gilead Sciences•Foster City, CA

1d•Hybrid

About The Position

At Gilead our pursuit of a healthier world for all people has yielded a cure for hepatitis C, revolutionary improvements in HIV treatment and prevention as well as advancements in therapies for viral and inflammatory diseases and certain cancers. We set and achieve bold ambitions in our fight against the world’s most devastating diseases, united in our commitment to confronting the largest public health challenges of our day and improving the lives of patients for generations to come. As Associate Director, Generative AI, at Gilead you will report to the Senior Director, Data Science – AI & Optimization. Based in either Parsippany, NJ or Foster City, CA, you will be the business product owner owning the feature roadmap, will work on rapid prototyping including POCs and pilots, and partner with IT to build, scale and deploy AI and Gen AI solutions across commercial functions. 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 implement the SOPs of responsible AI governance framework defined by enterprise teams, including IT. You will also 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.

Requirements

Bachelor's Degree and Ten Years’ Experience OR Masters' Degree and Eight Years’ Experience OR PhD and Two Years’ Experience
Proven success in deploying Gen AI solutions in commercial settings.
Experience scaling AI products and platforms from pilot to production.
Excellent communication skills and ability to navigate the organization while simplifying the complexity in the AI space.
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.

Nice To Haves

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.

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.