Top Senior Data Management Jobs in Madison, WI

The Data Manager will maintain data integrity in HubSpot, optimize data workflows, generate reports, and enforce data governance. Responsibilities include managing integrations and supporting ad hoc analysis for cross-functional teams, requiring strong analytical skills and startup experience.

This role manages the BI platform's day-to-day operations, develops analytics solutions, enhances capabilities, and partners with teams to fulfill reporting needs. Responsibilities include monitoring system performance, data governance, and ensuring data quality while delivering actionable insights to support business growth.

The Manager of Data Engineering will lead the data engineering team, oversee data pipeline design and implementation, manage data governance, and ensure data quality while driving team professional growth.

The Analytics Manager will lead the analytics team, optimize data processes, manage KPIs, and create data visualizations to influence business decisions.

The Data Manager will execute analytics, manage data sourcing and dashboards, streamline reporting, and provide insights for business improvement and performance measurement.

Manage and develop a team of Data Analysts, oversee analytics deliverables, partner with cross-functional teams to deliver insights, and implement BI tools.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Lead a team of ~7 data scientists to deliver accurate product analytics and experimentation insights. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve measurement, reporting, and experiment practices to inform product decisions.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experiments; support product teams, build accessible data products, mentor staff, and improve measurement and reporting practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics: guide experimentation, partner with product and engineering, build accessible data products, mentor staff, and improve measurement and reporting practices to inform product decisions.

Lead a team of product analytics data scientists to deliver timely, accurate quantitative insights for product strategy, experimentation, and measurement. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve experimentation and reporting practices to inform decisions across the Foundation and movement.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights; manage people, mentor staff, partner with product and engineering, and build accessible data products and measurement practices.