Senior Manager, Data Science & Operation Analytics

Back to jobsSenior Manager, Data Science & Operation AnalyticsWaltham, MAApplyXometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.Xometry is looking for a Senior Manager, Data Science & Operations Analytics to join our team. You will lead the analytics strategy that enables data-driven decision making across Xometry's AI-powered manufacturing marketplace. Your team will generate insights, develop statistical frameworks, build scalable analytical data assets, and establish experimentation capabilities that improve marketplace performance, operational efficiency, customer experience, and profitability. Working closely with Product, Operations, Sourcing, Pricing, Engineering, and Finance, you will help answer the company's most important business questions through rigorous analysis and scientific experimentation. Your team will focus on identifying opportunities, quantifying impact, measuring outcomes, and providing the analytical foundation that informs product development and operational strategy. This role is ideal for a leader who combines deep analytical expertise with business acumen and enjoys solving complex marketplace problems using statistics, experimentation, and data. Your work will directly influence product roadmaps, quarterly business priorities, go-to-market initiatives, and company-wide decision making, to support our mission to become the “Everything Store” for custom manufacturing. Working at the intersection of technology, manufacturing, and marketplace dynamics, you’ll help shape Xometry’s future while delivering exceptional value to both buyers and suppliers. How You’ll Contribute: Lead strategic analytics across marketplace performance, customer behavior, sourcing operations, pricing, and business trends Develop analytical frameworks and  AI agents  that measure marketplace health across customer acquisition, conversion, supplier engagement, operational efficiency, pricing competitiveness, and margin performance Translate complex business problems into structured analytical approaches that drive actionable recommendations Deliver executive-ready insights that influence product roadmap, operational priorities, and investment decisions Establish best practices for statistical analysis, hypothesis testing, causal inference, and experimental design across Product and Operations initiatives Partner with Product and Engineering teams to design, measure, and interpret A/B tests and operational experiments Apply advanced statistical techniques to identify drivers of customer behavior, supplier performance, operational bottlenecks, and marketplace dynamics Develop measurement methodologies that quantify the business impact of new features, pricing strategies, sourcing initiatives, and operational improvements Promote analytical rigor by ensuring robust methodologies, reproducible analyses, and appropriate statistical confidence in decision making Define and build reusable analytical datasets, KPI frameworks, semantic layers, and metrics that enable consistent reporting and self-service analytics Partner with Data Engineering to improve data quality, governance, instrumentation, and accessibility across critical business domains Develop scalable dashboards and reporting solutions that provide visibility into marketplace performance and operational health Standardize business definitions and measurement methodologies across teams to ensure alignment on key performance indicators Lead forecasting and trend analysis for marketplace demand, supplier capacity, sourcing operations, fulfillment performance, and financial outcomes Analyze operational performance to identify root causes, emerging risks, and...