Top Senior Data Management Jobs in Chicago, IL

Drive data analysis strategy, build models, and lead a team of analysts while collaborating across business units and improving operational efficiencies.

As a Data Scientist Manager, you'll leverage tech to enhance credit review models, work collaboratively, and drive business outcomes through data analysis and machine learning.

Lead and mentor a team of analysts to mine and analyze large datasets, build and validate models, create BI and monitoring dashboards, improve operational processes, and collaborate across business units to support counterparty restitution analytics and reporting.

The Data Science Manager will lead a team to deliver insights using data science techniques, influencing business strategies and providing guidance to senior management.

The Senior Analytics and Insights Manager partners with GTM teams to drive data-driven decisions, providing insights, KPIs, and fostering collaboration for improved performance and strategy execution.

Lead enterprise external fraud analytical tools validation by designing and executing validation framework and projects, assessing tool risk and quality, prototyping industry best practices, communicating findings, and coaching junior staff. Partner cross-functionally to influence business strategy and ensure validated, well-governed analytical tool usage.

The Digital Ops Data Manager ensures the right data architecture for tracking and analytics integration, manages data assets, and collaborates with multiple teams.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

The role involves leading a team to develop machine learning models, analyze large datasets, and translate complex data insights into business goals. Requires collaboration with cross-functional teams to enhance decision-making and model validation.

The role involves driving strategy through data analytics, leading a team, implementing process improvements, and developing data models. Requires strong analytical, problem-solving, and leadership skills.

Lead design and delivery of reporting and data visualization solutions, build dashboards, translate business needs to technical specs, scale repeatable analytics, document data flows, train users, and manage a team to provide insights and decision support.

The Associate Manager will lead the implementation of Master Data Management systems, manage client projects, coordinate with data vendors, and provide mentorship and insights to optimize commercial operations for life sciences companies.

The Manager of MDM leads projects for Master Data Management systems, working with teams to ensure successful client engagements in the pharmaceutical and life sciences sector.

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

Lead and mentor the Data Enablement team, driving data strategy and product delivery. Collaborate with stakeholders and oversee data governance.

The Ecommerce Data Analytics Manager analyzes pricing, profitability, and marketing performance to optimize revenue and improve decision-making across the ecommerce business.

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

Lead external data strategy for global credit markets: identify, evaluate, onboard, and optimize external and credit bureau data; lead data science projects and advanced modeling; ensure data governance and regulatory compliance; collaborate cross-functionally; negotiate vendor partnerships; and build and mentor a high-performing team to drive credit risk and product outcomes.

Lead scaling of a commercial channel data management platform for oncology/hematology. Manage vendor and data provider relationships, design data pipelines and governance, improve data quality, oversee data aggregation and provisioning for commercial insights, and ensure compliance, security, and documentation.

Manage Campbell Snacks syndicated data budget and vendor partnerships, build training to upskill sales and category teams, maintain distribution forecasting and recurring reporting, translate data into insights for IBP and strategic planning, and lead cross-functional analytics initiatives.

Analyze and clean multi-source commerce data, maintain data platform integrations, build dashboards and reports (Tableau/Power BI), provide actionable insights to cross-functional teams, and support global client initiatives and case studies.

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.

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.