IT Manager, AI Innovation & Enablement

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
 

AI Strategy & Product Ownership

• Serve as an IT Business Analyst for AI initiatives, owning the end-to-end lifecycle from ideation to PoC and pilot delivery.
• Partner with business leaders to identify pain points and opportunities where AI can drive impact.
• Define AI use cases, success metrics, and roadmaps aligned to enterprise strategy.

Business Engagement & Requirements

• Engage closely with cross-functional business teams (R&D, Commercial, Manufacturing, Finance, etc.) to understand processes and challenges.
• Translate business needs into clear AI scenarios, functional requirements, and user stories.
• Facilitate workshops and design sessions to refine problem statements and solution scope.

Solution Architecture & Delivery

• Design and guide AI solutions with a deep understanding of API-based integration, on-premise AI platforms, and hybrid/cloud architectures.
• Collaborate with architects, data engineers, and vendors to ensure solutions are secure, scalable, and compliant.
• Rapidly build or orchestrate AI PoC environments, either independently or with global teams.

Hands-on Innovation

• Lead quick experiments and PoCs using modern AI/ML and GenAI technologies to validate feasibility and value.
• Evaluate tools, platforms, and models, making recommendations for enterprise adoption.

Stakeholder & Program Leadership

• Act as a trusted advisor to business and IT leadership on AI opportunities and risks.
• Manage multiple initiatives in parallel, ensuring timely delivery and value realization.
• Communicate progress, outcomes, and learnings to executive stakeholders.

Governance, Risk & Best Practices

• Ensure AI solutions adhere to enterprise architecture standards, security, privacy, and compliance requirements.
• Promote responsible AI practices and contribute to AI governance frameworks.
• Drive documentation, knowledge sharing, and reuse of patterns and components.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• 8+ years of experience in IT, digital transformation, or solution delivery roles, with 3+ years focused on AI/ML or advanced analytics.
• Proven hands-on experience acting as a business analyst or solution lead for technology initiatives.
• Strong understanding of:
  • API design and integration (REST, microservices).
  • On-premise and hybrid AI/ML architectures (data platforms, model serving, MLOps).
  • AI/ML lifecycle: data prep, training, validation, deployment, monitoring.
• Hands-on experience building or leading AI PoCs in fast-paced environments.
• Experience working with global, cross-functional teams and vendors.

Preferred Qualifications

• Experience with GenAI platforms, LLMs, prompt engineering, and AI orchestration frameworks.
• Exposure to cloud AI services (AWS, Azure, GCP) in hybrid enterprise environments.
• Experience in life sciences, healthcare, or regulated industries.
• Agile/Scrum product ownership or certification.
• Familiarity with data engineering, analytics platforms, and MLOps tools

AI Strategy & Product Ownership

• Serve as an IT Business Analyst for AI initiatives, owning the end-to-end lifecycle from ideation to PoC and pilot delivery.
• Partner with business leaders to identify pain points and opportunities where AI can drive impact.
• Define AI use cases, success metrics, and roadmaps aligned to enterprise strategy.

Business Engagement & Requirements

• Engage closely with cross-functional business teams (R&D, Commercial, Manufacturing, Finance, etc.) to understand processes and challenges.
• Translate business needs into clear AI scenarios, functional requirements, and user stories.
• Facilitate workshops and design sessions to refine problem statements and solution scope.

Solution Architecture & Delivery

• Design and guide AI solutions with a deep understanding of API-based integration, on-premise AI platforms, and hybrid/cloud architectures.
• Collaborate with architects, data engineers, and vendors to ensure solutions are secure, scalable, and compliant.
• Rapidly build or orchestrate AI PoC environments, either independently or with global teams.

Hands-on Innovation

• Lead quick experiments and PoCs using modern AI/ML and GenAI technologies to validate feasibility and value.
• Evaluate tools, platforms, and models, making recommendations for enterprise adoption.

Stakeholder & Program Leadership

• Act as a trusted advisor to business and IT leadership on AI opportunities and risks.
• Manage multiple initiatives in parallel, ensuring timely delivery and value realization.
• Communicate progress, outcomes, and learnings to executive stakeholders.

Governance, Risk & Best Practices

• Ensure AI solutions adhere to enterprise architecture standards, security, privacy, and compliance requirements.
• Promote responsible AI practices and contribute to AI governance frameworks.
• Drive documentation, knowledge sharing, and reuse of patterns and components.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• 8+ years of experience in IT, digital transformation, or solution delivery roles, with 3+ years focused on AI/ML or advanced analytics.
• Proven hands-on experience acting as a business analyst or solution lead for technology initiatives.
• Strong understanding of:
  • API design and integration (REST, microservices).
  • On-premise and hybrid AI/ML architectures (data platforms, model serving, MLOps).
  • AI/ML lifecycle: data prep, training, validation, deployment, monitoring.
• Hands-on experience building or leading AI PoCs in fast-paced environments.
• Experience working with global, cross-functional teams and vendors.

Preferred Qualifications

• Experience with GenAI platforms, LLMs, prompt engineering, and AI orchestration frameworks.
• Exposure to cloud AI services (AWS, Azure, GCP) in hybrid enterprise environments.
• Experience in life sciences, healthcare, or regulated industries.
• Agile/Scrum product ownership or certification.
• Familiarity with data engineering, analytics platforms, and MLOps tools

For Current Gilead Employees and Contractors:

Please apply via the Internal Career Opportunities portal in Workday.