Principal Operations Data Analyst

Job Responsibilities

• Owns the end-to-end lifecycle of AI use cases across Source-to-Pay and Supply Chain, including ideation, business case development, pilot execution, scaling, and sustained adoption.
• Partners with Procurement, Supply Chain, IT, Digital, and Data teams to translate business problems into deployable AI solutions.
• Measures and communicates realized value (cost savings, cycle-time reduction, risk mitigation, productivity gains) from AI deployments.
• Led the design and deployment of agentic AI and intelligent automation solutions across Source-to-Pay and Supply Chain processes, including sourcing, contracting, buying, supplier management, and fulfillment.
• Acts as a thought leader applying extensive data processing and data analysis expertise in the development of strategy or resolution to complex data issues.
• Creates very complex automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
• Applies advanced analytics and data engineering techniques to support AI-driven decision making.
• Presents/collaborates clearly, concisely, and actionably data analyses for clients.
• Acts as team lead and provides direction to less experienced employees.
• Might work with Senior Management to develop business-related strategy, leveraging data in decision making.
• Ensures data quality, governance, and traceability across integrated tools and analytical models.

Background Qualifications

• Minimum BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience
• 8 Years related work experience
• Desired 6 Years in Supply Chain and Procurement as a data analyst or a data scientist
• Masters Degree
• Hands-on experience deploying machine learning, generative AI, or agent-based systems into production business workflows for Supply chain
• Experience operationalizing AI solutions within enterprise platforms (e.g., SAP, Ariba, or adjacent procurement technologies)
• Familiarity with utility operations. Understanding of SAP and Ariba
• Ability to influence senior leaders and drive adoption of AI-enabled ways of working
• Advanced skill in writing SQL queries using Oracle or Business Objects
• Expertise in project management to lead large, cross-functional projects and develop concise data findings for Sr. Management