Top Senior Data Management Jobs in St. Louis, MO

The Tag Manager will oversee and optimize Rula's tagging ecosystem, ensuring accurate data capture and collaborating cross-functionally to enhance analytics capabilities and data trust.

Lead a team of data scientists to develop marketing mix and attribution models, providing insights on marketing performance and optimizing investments across products and channels.

Lead architect for Compliance data at Coinbase, defining data governance frameworks, designing data contracts, mapping data lineage, and quantifying data impact to enhance compliance reporting and data quality processes.

Lead analytics engineering for finance data, delivering governed models and reporting solutions, improving data quality and controls, and partnering with multiple stakeholders.

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.

Own CRM data quality and integrations across HubSpot and connected tools. Build automations, dashboards, and reports. Enforce data governance, troubleshoot issues, support ad hoc analysis, and document SOPs for cross-functional stakeholders.

Lead and grow a Locations Analytics team while performing hands-on product analytics, experimentation, causal inference, and geospatial analyses. Partner with Product, Engineering, Design, Data Science, and Marketing to define KPIs, run A/B tests, build reporting and dashboards, and present strategic insights to senior leadership to drive location-based product decisions.

Lead a data science team to develop insights from autonomous vehicle data, create scalable platforms for data access, and collaborate with cross-functional teams on performance measures.

The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.

Design and manage curated fact and dimension datasets, semantic/subject-area models, and governance. Partner with BI and data engineering to enable self-service analytics, ensure data quality and documentation, and prepare datasets to support future ML and advanced analytics.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

Lead the data management strategy and team to design, build, and maintain scalable ETL pipelines and data infrastructure. Implement data governance, ensure data quality, optimize performance using tools like Airflow, Iceberg, Trino, and Spark, and collaborate with cross-functional teams to make data accessible and actionable.

Lead the Finance Reporting and Analytics team to drive growth through data-driven decision making, managing analysts and delivering insights via dashboards and predictive models.

Manage and optimize GTM tech stack, oversee Salesforce CRM, ensure data quality across systems, build data models, and create actionable insights for go-to-market strategy.

Lead a team of Data Scientists, Analytics Engineers, and Data Engineers to drive messaging strategies through analytics and data science, ensuring collaboration across various business domains.

The Senior Data Manager will design, configure, and launch clinical trials on Citrus while managing data quality and collaborating with product teams and stakeholders.

Lead and mentor a Data Engineering team, manage data operations, ensure compliance with HIPAA, and design scalable ETL pipelines while collaborating across departments.

Lead and scale the data analytics function, manage a distributed analytics team, deliver actionable insights, and oversee analytics projects.

The Manager of Data Analytics Engineering will lead a team of engineers, manage data pipelines migration, collaborate with project managers, and mentor staff while fostering growth in a data-driven environment.

Lead a team of Data Scientists and Analysts, developing AI and data-driven solutions, driving analytics insights, and fostering collaboration across teams.