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Supply Chain Data & Analytics Lead

X-Energy
FULL_TIME Remote · US Rockville, MD, Montgomery, US USD 7917–11333 / month Posted: 2026-05-11 Until: 2026-07-10
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Job Description
X-energy LLC conducts a thorough recruiting process and will never issue offers without interview to discuss qualifications and responsibilities. All applications will be submitted via our company career page, www.x-energy.com/careers/ . We will never ask you to provide payment information as part of the recruiting process. If anyone claiming to represent X-energy directs you in a manner otherwise, please contact us at www.x-energy.com/contact-us . Job Description X-energy LLC is hiring a Supply Chain Data & Analytics Lead to join its team. The Supply Chain Data & Analytics Lead drives operational excellence through data-driven insights and strategic reporting infrastructure. This role has a dual mandate: (1) analyze current procurement data to identify and resolve bottlenecks impacting PO cycle time, enabling immediate process improvements, and (2) design and implement the reporting architecture for Ariba that will support long-term performance optimization. The ideal candidate combines analytical rigor with business acumen to transform raw data into actionable intelligence that accelerates X-energy's supply chain performance. Job Profile Tasks/Responsibilities: Current State Analysis & Immediate Impact Conduct deep-dive analysis of existing procurement data to identify root causes of PO cycle time delays Map current-state process flows and quantify time/cost impact of bottlenecks across the S2O lifecycle Develop visibility dashboards and reports that enable operational teams to prioritize improvement actions Partner with Procurement, AP, and business units to implement quick-win process changes based on data insights Track and measure the impact of interventions on key performance indicators (KPIs) Ariba Reporting Infrastructure & Data Governance Design and build Ariba reporting framework, including standard reports, dashboards, and KPI scorecards Define data governance policies, including data quality standards, metadata definitions, and access controls Configure Ariba reporting modules and integrate with business intelligence tools (Power BI, Tableau, etc.) Establish baseline metrics and targets for post-go-live performance measurement Create user documentation and training materials for self-service reporting Continuous Improvement & Strategic Insights Transform Ariba transactional data and metadata into strategic insights (spend analytics, supplier performance, compliance trends) Identify opportunities for process optimization, cost reduction, and risk mitigation through trend analysis Develop predictive analytics capabilities to forecast procurement performance and supply chain risks Lead regular business reviews with stakeholders to communicate insights and drive data-informed decisions Foster a culture of continuous improvement through transparency, accountability, and data literacy Collaboration & Stakeholder Management Partner with IT, Procurement leadership, and business units to understand reporting requirements Translate business needs into technical specifications for reporting and analytics solutions Serve as subject matter expert on procurement metrics, benchmarking, and industry best practices Collaborate with Ariba implementation team to ensure reporting requirements are incorporated into system design Minimum Qualifications: Required Qualifications Bachelor's degree in Data Analytics, Business Analytics, Supply Chain Management, Industrial Engineering, or related field The skills required for this role are typically demonstrated by 7 plus years of relevant experience 4-6 years of experience in procurement analytics, supply chain analytics, or business intelligence Strong proficiency in data analysis and visualization tools (Excel, Power BI, Tableau, SQL) Demonstrated ability to extract insights from complex datasets and communicate findings to non-technical audiences Experience with supply chain processes and procurement KPIs (cycle time, maverick spend, supplier performance, etc.) Proficiency in statistical analysis tools (R, Python) or advanced analytics techniques Knowledge of data governance principles and best practices Strong business acumen with ability to connect data insights to operational outcomes Preferred Qualifications E