IT Manager, AI Innovation & Enablement
Job Summary
At Gilead were creating a healthier world for all people. For more than 35 years weve 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 worlds biggest health challenges and our mission requires collaboration determination and a relentless drive to make a difference.
Every member of Gileads 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 were 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
- Bachelors 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
- Bachelors 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.
Required Experience:
Manager
Key Skills
About Company
Gilead Sciences is continuing to hire for all open roles. Our interview process may be conducted virtually and some roles will be asked to temporarily work from home. Over the coming weeks and months, we will be implementing a phased approach to bringing employees back to site to ensu ... View more