Associate Director, Research AI Delivery Lead - Raleigh

At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.
 

Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact.
 

We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.

Job Description
 

As part of our enterprise AI strategy to speed life-changing therapies to patients, we are seeking a Data/AI Delivery Lead to lead the technical development and delivery of AI/ML solutions across Research.  In this role, you will bridge the business needs of Research organization with technical execution and manage data science solution teams composed of internal resources and key external partners. You will drive technical excellence in our tailored AI solutions through hands-on architecture decisions, code quality standards and advanced analytics methodologies, delivering measurable impact to finance users from concept to scaled release.

As a Associate Director, Research AI Delivery Lead, at Gilead you will ... 

Key Responsibilities

• Own end-to-end delivery including timeline and technical quality of Research AI use case solutions from ideation through production

• Apply product-centric approach with clear ownership, roadmaps, and user adoption metrics

• Oversee the development of scalable solutions using Databricks, AWS, and Gilead ‘s Data & AI enterprise platforms

• Lead hybrid technical delivery teams, drawing on technical experts within and beyond the team

• Manage sprint planning, backlog prioritization and release schedules, extending into continuous improvement as both needs and the solution landscape evolves

• Facilitate technical problem-solving across research domains

• Ensure integration with existing data infrastructure and reusable components for common research patterns in key use cases (Research Knowledge Malmanagement Agents, Design- Build- Test- Learn cycle etc.)

• Shape technical standards for research data models, storage and automation workflows

• Maintain technical documentation and runbooks for research data pipelines and agents; Serve as escalation point for technical risks and delivery blockers

• Track delivery metrics: cost reduction targets, process automation rates, weekly usage adoption

• Manage vendor relationships and outsourced delivery with co-source providers

• Monitor product performance & drive continuous improvement towards quantifiable targets; Track delivery, performance, and adoption metrics

• Ensure compliance with data governance, security, and Research regulatory expectations

Basic Qualifications: 

Bachelor's Degree and Ten Years' Experience 

OR 

Masters' Degree and Eight Years' Experience 

OR 

PhD and Two Years' Experience 

Preferred Qualifications: 

• Demonstrated experience leading AI/ML or advanced analytics delivery in Agile environments

• Hands‑on background as data engineer, solution architect, or data scientist

• Experience leading multi‑disciplinary, distributed delivery teams

• Strong understanding of AI/ML architectures and data platforms

• Experience in Research, or scientific computing environments preferred

• Excellent stakeholder communication and technical leadership skills

People Leader Accountabilities: 

•Create Inclusion - knowing the business value of diverse teams, modeling