Assoc Director, IT Data Engineering

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 an Associate Director, AI Lead (D&A Digital Marketing) to lead the technical development and delivery of AI/ML and Generative AI solutions across Commercial Digital Marketing. In this role, you will bridge the business needs of the US Commercial Digital organization with technical execution and manage delivery teams composed of internal resources and key external partners. You will drive technical excellence through hands on architecture decisions, code quality standards and advanced analytics methodologies, delivering measurable impact from concept to scaled release.This position will report to the Director, Data/Analytics/AI (D&A Digital Marketing) and is based in Raleigh, NC (hybrid eligible).Key Responsibilities:Own end to end delivery of US Commercial Digital Marketing AI solutions from ideation through production, including timeline, technical quality and release readiness.Apply a product centric approach with clear ownership, roadmaps and user adoption metrics for each AI capability delivered.Oversee development of scalable solutions using AWS and Databricks and approved Commercial enterprise platforms.Build, train or fine tune ML models for business problems, validate and evaluate them for fielding as part of broader solutions.Deliver Generative AI solutions, including prompt engineering and retrieval/grounding patterns, and apply quantitative and qualitative evaluation before scaling to production.Design AI assistants or agent workflows where they improve speed, quality and consistency of insights and recommendations.Design and deliver agentic AI solutions, including multi‑agent orchestration and intelligent routing of requests across agents/tools/models, with clear evaluation and guardrails.Establish measurement frameworks to track business impact and model performance using KPIs and experimentation methods where applicable.Build reusable AI components (templates, evaluation approaches, shared patterns) and promote reuse to accelerate future delivery.Partner with engineering teams to align to MLOps and LLMOps expectations for deployment, monitoring, lifecycle updates and controlled releases.Embed responsible AI, privacy and compliance by partnering with legal, privacy and ethics teams to address data privacy, transparency and risk management.Manage vendor relationships and co sourced delivery partners, ensuring delivery quality, documentation and continuity.Communicate AI progress, outcomes, limitations and risks clearly to stakeholders and act as a translator between technical and non-technical audiences.Key Skills & ExperiencesBachelor’s degree with 10+ years or Master’s degree with 8+ years of relevant experience delivering AI solutions in data science, computer science, engineering, or a related field (or equivalent combination of education and experience)Significant experience leading technical delivery in an Agile environment, including backlog prioritization, sprint planning and release execution.Hands on experience as a lead data scientist, AI/ML engineer, data engineer or solution architect delivering production solutions.Strong understanding of ML methods, statistics, model validation and evaluation.Hands on Generative AI experience, including prompt engineering and LLM evaluation methods used to field enterprise solutions.Experience with multi‑model agentic AI (model selection/routing, tool routing, prompt evaluations/benchmarks and production observability).Practical understanding of MLOps and LLMOps practices for production operations, monitoring and lifecycle management.Experience delivering solutions on modern cloud and data platforms, including AWS, Databricks, and development with Python-based tooling.Strong stakeholder leadership skills with ability to influence without authority and communicate clearly with cross functional teams.Product centric mindset and ability to operate effectively in ambiguity with continuous learning and iteration.Minimum Required Education and Years of ExperienceBachelor's Degree and Ten Years’ Experience ORMasters' Degree and Eight Years’ Experience ORPhD and Two Years’ ExperiencePeople Leader AccountabilitiesCreate Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams.Develop Talent - understand the skills, experience, aspirations and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving the feedback and insight needed to grow, develop and realize their purpose.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 r