Description
Senior Manager (IT)
Role Purpose
We are seeking a Senior Manager / Associate Director to join the Data & AI Centre of Excellence within IT. This is a hands-on, technically grounded leadership role for an individual who thrives at the intersection of AI product management, MLOps engineering, and cloud architecture.
In this role, you will own the end-to-end delivery and lifecycle management of AI-powered products and platforms, from ideation through production deployment and scaling. You will partner closely with data scientists, engineers, commercial stakeholders, and strategic vendors to ensure our AI solutions are robust, well-governed, and deliver measurable business value.
Key Responsibilities:
AI Product Management
1. Own and drive the product roadmap and delivery of AI/ML solutions supporting commercial analytics, field excellence, and HCP engagement use cases
2. Translate business requirements into clear, well-defined product backlogs in close collaboration with commercial stakeholders across Rest of World (RoW) markets
3. Champion user adoption by establishing continuous feedback loops and iterating AI products based on real-world usage and impact
4. Ensure AI products deliver tangible commercial outcomes and align with enterprise strategy
MLOps & AI Engineering
5. Design, implement, and manage scalable MLOps pipelines covering model training, evaluation, deployment, monitoring, and retraining
6. Establish and enforce ML governance standards, including model versioning, experiment tracking, bias detection, drift monitoring, and lineage
7. Promote engineering best practices across the AI lifecycle, including CI/CD for ML, automated testing, containerisation, and infrastructure as code
8. Collaborate with data engineering teams to ensure strong feature stores, high-quality data pipelines, and seamless integration with the enterprise data platform (Databricks Unity Catalog)
Collaboration & Leadership
9. Act as a trusted bridge between technical delivery teams and non-technical commercial stakeholders
10. Communicate complex AI and data concepts clearly and effectively to support informed decision-making
11. Influence cross-functional teams and vendor partners to drive high-quality, production-ready AI solutions
Must-Have Qualifications
12. Proven experience as a Product Manager or Technical Product Manager delivering AI/ML products in an enterprise environment
13. Strong, hands-on knowledge of MLOps tools, frameworks, and best practices
14. Deep expertise in at least one major cloud platform (AWS or Azure), with relevant certifications preferred (e.g. AWS Solutions Architect, Azure AI Engineer)
15. Experience with tools such as Databricks Genie and/or Copilot Studio
16. Bachelor’s degree in Science, Engineering, or a related field, or an equivalent degree combined with substantial hands-on technical experience
Equal Employment Opportunity (EEO)
It is the policy of Gilead Sciences, Inc. and its subsidiaries and affiliates (collectively "Gilead" or the "Company") to recruit select and employ the most qualified persons available for positions throughout the Company. Except if otherwise provided by applicable law, all employment actions relating to issues such as compensation, benefits, transfers, layoffs, returns from layoffs, company-sponsored training, education assistance, social and recreational programs are administered on a non-discriminatory basis (i.e. without regard to protected characteristics or prohibited grounds, which may include an individual’s gender, race, color, national origin, ancestry, religion, creed, physical or mental disability, marital status, sexual orientation, medical condition, veteran status, and age, unless such protection is prohibited by federal, state, municipal, provincial, local or other applicable laws). Gilead also prohibits discrimination based on any other characteristics protected by applicable laws.
For Current Gilead Employees and Contractors:
Please apply via the Internal Career Opportunities portal in Workday.