Data Scientist, AI Enabled Analytics - Procurement

Gilead Sciences • Foster City, CA

4d • $157,590 - $203,940

About The Position

As a Data Scientist, AI Enabled Analytics - Procurement, at Gilead you will partner closely with data science, engineering, and platform teams to operationalize analytics and AI solutions end‑to‑end, ensuring they are production‑ready, scalable, and fully integrated into user experiences. You will translate complex business questions into structured analytical problems, producing clear, actionable insights and recommendations for stakeholders at all levels. You will develop compelling visualizations and data‑driven narratives to communicate insights effectively to operational and executive audiences. You will design, build, and deploy advanced analytics, statistical models, and machine learning solutions to analyze spend and buying patterns, forecast demand and optimize planning, and evaluate supplier performance and risk. You will apply data science methodologies to drive cost savings, mitigate supply and continuity risks, and ensure contract and policy compliance. You will leverage SQL and data visualization platforms (e.g., Tableau, Power BI) to analyze procurement data and deliver scalable, high‑value insights. You will build, automate, and maintain robust data pipelines and analytical workflows using orchestration tools such as Airflow and Alteryx. You will integrate analytics and AI insights into core procurement platforms (e.g., SAP Ariba) to enable real‑time, workflow‑embedded decision support. You will ensure data quality, consistency, governance, and integrity across multiple procurement systems and data sources. You will own and scale AI‑enabled analytics solutions, including predictive forecasting and optimization models, intelligent recommendations embedded within buying and procurement workflows, and automation and AI agents that execute or recommend actions in real time. You will drive adoption by embedding insights directly into decision workflows rather than relying on static reports or dashboards. You will measure, track, and communicate business impact of analytics and AI initiatives, including efficiency gains, cost savings, risk reduction, and improved user and supplier experience. You will foster a culture of innovation and continuous improvement across Procurement and Data & Analytics, contributing to team capability development through tools, standards, and training.

Requirements

• Bachelor's Degree and Eight Years' Experience OR Masters' Degree and Six Years' Experience OR PhD and Two Years' Experience
• An exceptional track record of applying procurement principles, concepts, best practices, and standards, along with in-depth knowledge of industry practices is required.
• In-depth knowledge of procurement technology platforms, including ERP systems, e-procurement solutions and digital tools.
• Ability to manage technology integration projects, troubleshoot issues, and ensure alignment with business needs.
• A track record of success leading and participating in cross-functional reengineering or process improvement efforts; including experience creating process diagrams, analyzing workflows, developing standard operating procedures, and reengineering business processes.
• Superior communication, presentation and change leadership & management skills are required.
• Experience leading AI-enabled business transformation or automation initiatives
• Familiarity with procurement, finance, operations, or enterprise systems analytics
• Demonstrated ability to translate data into strategic business recommendations
• Exceptional experience working with and supporting multiple projects and teams simultaneously across a matrixed organization.
• Strong understanding of end-to-end supplier lifecycle processes including supplier risk assessment and onboarding, ongoing due diligence, and supplier offboarding

Nice To Haves

• Leverage SQL and data visualization platforms (e.g., Tableau, Power BI) to analyze procurement data and deliver scalable, high‑value insights.
• Build, automate, and maintain robust data pipelines and analytical workflows using orchestration tools such as Airflow and Alteryx.
• Integrate analytics and AI insights into core procurement platforms (e.g., SAP Ariba) to enable real‑time, workflow‑embedded decision support.

Responsibilities

• Partner closely with data science, engineering, and platform teams to operationalize analytics and AI solutions end‑to‑end, ensuring they are production‑ready, scalable, and fully integrated into user experiences.
• Translate complex business questions into structured analytical problems, producing clear, actionable insights and recommendations for stakeholders at all levels.
• Develop compelling visualizations and data‑driven narratives to communicate insights effectively to operational and executive audiences.
• Design, build, and deploy advanced analytics, statistical models, and machine learning solutions to: Analyze spend and buying patterns, Forecast demand and optimize planning, Evaluate supplier performance and risk.
• Apply data science methodologies to drive cost savings, mitigate supply and continuity risks, and ensure contract and policy compliance.
• Leverage SQL and data visualization platforms (e.g., Tableau, Power BI) to analyze procurement data and deliver scalable, high‑value insights.
• Build, automate, and maintain robust data pipelines and analytical workflows using orchestration tools such as Airflow and Alteryx.
• Integrate analytics and AI insights into core procurement platforms (e.g., SAP Ariba) to enable real‑time, workflow‑embedded decision support.
• Ensure data quality, consistency, governance, and integrity across multiple procurement systems and data sources.
• Own and scale AI‑enabled analytics solutions, including: Predictive forecasting and optimization models, Intelligent recommendations embedded within buying and procurement workflows, Automation and AI agents that execute or recommend actions in real time.
• Drive adoption by embedding insights directly into decision workflows rather than relying on static reports or dashboards.
• Measure, track, and communicate business impact of analytics and AI initiatives, including efficiency gains, cost savings, risk reduction, and improved user and supplier experience.
• Foster a culture of innovation and continuous improvement across Procurement and Data & Analytics, contributing to team capability development through tools, standards, and training.
• Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams.
• Develop Talent - understand the skills, experience, aspirations and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving the feedback and insight needed to grow, develop and realize their purpose.
• Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives, and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem.

Benefits

• company-sponsored medical, dental, vision, and life insurance plans
• discretionary annual bonus
• discretionary stock-based long-term incentives (eligibility may vary based on role)
• paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Senior