Senior Manager, Data Science & Operation Analytics

Xometry is a company that powers the industries of today and tomorrow by connecting people with big ideas to manufacturers. They are seeking a Senior Manager, Data Science & Operations Analytics to lead the analytics strategy for their AI-powered manufacturing marketplace, focusing on data-driven decision making and improving operational efficiency.

Responsibilities:

• 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 opportunities for process improvement
• Support capacity planning through statistical forecasting and scenario analysis
• Build analytical tools that enable proactive decision making across Operations, Pricing, and Sourcing teams
• Lead, mentor, and develop a high-performing team of data scientists and analytics professionals
• Foster a culture of analytical excellence, intellectual curiosity, and evidence-based decision making
• Establish best practices for analytics development, code quality, documentation, peer review, and knowledge sharing