Associate Director, Data/AI Solution Architect, US Commercial Digital Marketing

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 Gilead’s enterprise AI and digital strategy to accelerate insights and decision‑making, we are seeking an Associate Director, Data/AI Solution Architect to lead the design of Data and AI solutions across the Commercial (Marketing & Sales) digital content lifecycle. In this role, you will partner closely with business stakeholders, and Data/AI Product Owners, Technical Delivery Leads and Platform Leads to determine the right solution architecture for predictive analytics and AI‑driven insights. You will drive technical excellence through architectural design, modeling approach, and platform selection—ensuring scalable solutions, aligned to Gilead standards, that translate complex digital needs into actionable insights.

This position will report to the Director, Data/AI, Commercial Digital and is based in Raleigh, NC (hybrid‑eligible).

As a Associate Director, Data/AI Solution Architect, US Commercial Digital Marketing, at Gilead you will ...

Key Responsibilities

• Determine end‑to‑end Data/AI solution architecture for digital marketing use cases, including predictive modeling and advanced analytics across the digital content lifecycle

• Design how solutions are delivered, including data flows, modeling approaches, integration patterns, and analytics outputs on AWS & Databricks platforms

• Apply enterprise and domain architecture and tool standards, while providing input to inform and evolve those standards

• Evaluate build vs. buy options and recommend platforms, tools, and frameworks aligned with enterprise strategy

• Develop solution blueprints and lifecycle maps to guide implementation from data creation through insight generation

• Define data quality, observability, and validation expectations for Commercial Digital data products, ensuring data is complete, accurate, timely, trusted, and fit for analytics, AI, and downstream business decision-making.

• Ensure data products and solution designs include clear business context, ownership, lineage, metadata, cataloging, sensitivity classification, refresh frequency, usage guidance, and traceability from source data through transformation, model input/output, insight generation, and business action.

• Develop and maintain data architecture artifacts, including source-to-target flows, integration patterns, canonical data models, semantic layers, master/reference data dependencies, business rules, key entities, metrics, and downstream consumption patterns.

• Partner with Enterprise Architecture and platform teams to maintain application, capability, integration, lifecycle, and data-flow mappings in Enterprise system of record, supporting architecture reviews, impact assessments, technology rationalization, and alignment with enterprise standards.

• Partner with Capability Leads and Product Owners to translate business capability needs into well-structured solution designs, data architecture, platform dependencies, and technical delivery guardrails.

• Support the AI, data science, and data engineering teams by defining the data architecture, feature inputs, model integration patterns, traceability, and operational data requirements needed to move AI use cases from concept to production

• Ensure AI solution designs include the required data readiness, context, lineage, integration, governance, monitoring, and handoff requirements so models and insights can be deployed, maintained, and reused across Commercial Digital capabilities.

• Ensure solution designs support