Sr. Procurement Manager, AI Enabled Analytics
Gilead Sciences
June 27, 2026
Remote friendly (San Francisco Bay Area)
United States
Corporate Functions
Key Responsibilities:
- Partner with data science, engineering, and platform teams to operationalize analytics/AI end-to-end (production-ready, scalable, integrated into user experiences).
- Translate complex business questions into structured analytical problems; deliver actionable insights and recommendations.
- Create visualizations and data-driven narratives for operational and executive audiences.
- Design, build, and deploy advanced analytics, statistical models, and ML solutions to analyze spend/buying patterns, forecast demand/optimize planning, and evaluate supplier performance/risk; drive cost savings, mitigate supply/continuity risks, and ensure contract/policy compliance.
- Use SQL and visualization tools (e.g., Tableau, Power BI) to analyze procurement data.
- Build/automate/maintain data pipelines and analytical workflows (Airflow, Alteryx).
- Integrate analytics/AI into procurement platforms (e.g., SAP Ariba) for real-time, workflow-embedded decision support.
- Ensure data quality, governance, and integrity across procurement systems.
- Own/scale AI-enabled analytics: predictive forecasting/optimization, recommendations in workflows, AI agents executing/recommending actions.
- Measure and communicate business impact (efficiency, cost savings, risk reduction, improved user/supplier experience).
Basic Qualifications:
- Bachelor’s + 8 years OR Master’s + 6 years OR PhD + 2 years.
Preferred Qualifications:
- Strong procurement principles/practices; procurement technology/ERP/e-procurement; integration/troubleshooting.
- Cross-functional process improvement/reengineering (process diagrams, SOPs, workflow analysis).
- Communication/presentation/change leadership; experience with AI-enabled transformation/automation.
- Procurement/finance/operations analytics familiarity; translate data into strategic recommendations.
- Matrixed organization experience; end-to-end supplier lifecycle knowledge (risk assessment/onboarding, due diligence, offboarding).
Benefits:
- Salary range: $157,590.00–$203,940.00; may include discretionary annual bonus and stock incentives; paid time off; company-sponsored medical/dental/vision/life insurance.
Application Instructions:
- Apply via the Internal Career Opportunities portal in Workday.
- Partner with data science, engineering, and platform teams to operationalize analytics/AI end-to-end (production-ready, scalable, integrated into user experiences).
- Translate complex business questions into structured analytical problems; deliver actionable insights and recommendations.
- Create visualizations and data-driven narratives for operational and executive audiences.
- Design, build, and deploy advanced analytics, statistical models, and ML solutions to analyze spend/buying patterns, forecast demand/optimize planning, and evaluate supplier performance/risk; drive cost savings, mitigate supply/continuity risks, and ensure contract/policy compliance.
- Use SQL and visualization tools (e.g., Tableau, Power BI) to analyze procurement data.
- Build/automate/maintain data pipelines and analytical workflows (Airflow, Alteryx).
- Integrate analytics/AI into procurement platforms (e.g., SAP Ariba) for real-time, workflow-embedded decision support.
- Ensure data quality, governance, and integrity across procurement systems.
- Own/scale AI-enabled analytics: predictive forecasting/optimization, recommendations in workflows, AI agents executing/recommending actions.
- Measure and communicate business impact (efficiency, cost savings, risk reduction, improved user/supplier experience).
Basic Qualifications:
- Bachelor’s + 8 years OR Master’s + 6 years OR PhD + 2 years.
Preferred Qualifications:
- Strong procurement principles/practices; procurement technology/ERP/e-procurement; integration/troubleshooting.
- Cross-functional process improvement/reengineering (process diagrams, SOPs, workflow analysis).
- Communication/presentation/change leadership; experience with AI-enabled transformation/automation.
- Procurement/finance/operations analytics familiarity; translate data into strategic recommendations.
- Matrixed organization experience; end-to-end supplier lifecycle knowledge (risk assessment/onboarding, due diligence, offboarding).
Benefits:
- Salary range: $157,590.00–$203,940.00; may include discretionary annual bonus and stock incentives; paid time off; company-sponsored medical/dental/vision/life insurance.
Application Instructions:
- Apply via the Internal Career Opportunities portal in Workday.