Senior Manager, Data Science & Operation Analytics

Xometry (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 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

What You'll Bring to Xometry:

7–10 years of experience in Data Science, Analytics, Statistics, Economics, Operations Research, or a related quantitative field

Strong foundation in statistical inference, experimental design, causal analysis, forecasting, and quantitative modeling

Demonstrated experience designing and analyzing A/B tests, observational studies, and business experiments

Expertise in SQL and Python (Pandas, NumPy, SciPy, Statsmodels) for data analysis and statistical computing

Experience building analytical datasets, KPI frameworks, semantic models, and scalable reporting solutions

Strong understanding of business intelligence, data visualization, and storytelling using tools such as Tableau, Looker, or Power BI

Experience working with large-scale transactional datasets in marketplace, technology, manufacturing, supply chain, or e-commerce environments

Ability to communicate complex statistical concepts to technical and non-technical stakeholders and influence decisions through data

Experience managing and developing analytics or data science teams in a cross-functional environment

Master's degree in Statistics, Economics, Operations Research, Data Science, Computer Science, Engineering, Mathematics, or a related quantitative discipline preferred

MBA or consulting experience is a plus

The estimated base salary range for new hires into this role is $170,000 - $185,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

#Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.