Top Data Management Jobs in Chicago, IL

The Data Systems Manager will oversee data architecture, implement MDM strategies, ensure data quality, and drive governance initiatives to support business intelligence.

The Data Operations Manager will lead a team of Data and Software Engineers, optimizing data infrastructure for business intelligence and analytics while ensuring data reliability and accessibility across the organization.

The Senior Manager, Data Analysis will lead a team to enhance audit delivery through data analysis in the Payments sector, drive data innovation, and manage a robust data environment.

Lead the Emerging Fraud team as a Senior Data Scientist, developing machine learning models to identify and neutralize fraud threats, leveraging a wide range of technologies.

Zeta Global seeks a Senior Manager, Data Cloud Consulting to provide strategic guidance on paid media and CRM to clients, develop marketing strategies, and manage analytics roadmaps. The ideal candidate will have extensive experience in data-driven strategy consulting and marketing.

Lead the design and execution of data validation strategies during ERP implementations, drive impactful results, and manage stakeholder relationships to address data issues.

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.

The Senior Clinical Data Manager will oversee clinical trial databases, ensuring adherence to timelines, quality of deliverables, and coordination among study teams. Responsibilities include database design, project oversight, training, and resolving data issues.

Lead the strategy for data quality in Master Data Management, train teams, improve processes, and ensure accurate data use across the organization.

Lead and mentor a team of data analysts, drive data analytics strategy, ensure data quality and governance, and deliver actionable insights across business functions.

Manage data and analytics projects, align client data strategies, facilitate cloud data migration, and coach team members while ensuring business objectives are met.

The Data Manager will support partners by addressing data needs, managing issues, and implementing best practices for effective data use in civic engagement campaigns.

Oversee clinical data management for global trials, ensuring quality and compliance. Lead teams, manage timelines, and mentor junior staff.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

The Senior Manager leads the external data strategy for global credit markets, manages data projects, evaluates new data sources, collaborates with teams, and ensures compliance in data usage.

Lead the growth of Data and Analytics business, develop strategic roadmaps, deliver assessments, and collaborate with teams to drive innovative solutions.

The Data Engineering Manager will architect and optimize marketing analytics systems, oversee data pipeline integrations, and implement attribution methodologies, ensuring precise performance measurement.

The Data Science Manager will oversee data science solutions, manage a data scientist, implement predictive models, and ensure data security.

Oversee risk data governance and reporting, ensuring accuracy of metrics and aligning with data standards. Lead improvements and enhance data integrity.

The Environmental Data Manager will oversee environmental data management, including ETL operations, data validation, and compliance for environmental projects. Responsibilities include data entry and interactions with various personnel to ensure data quality and regulatory adherence.

As Data Analytics Manager, you'll lead analytics initiatives driving business decisions, mentor a team, and enable self-service reporting through tools like Power BI.

The role involves leading enterprise reporting and analytics by driving alignment, managing data flows, delivering predictive insights, and assessing business needs for strategic decisions.

The Fundraising Data Manager will manage data processing for clients, develop custom SQL scripts, create reports, and manage client CRM.

Oversee the enterprise data hub, manage data governance strategies, implement best practices for data modeling, deliver GTM-ready data, and lead a team of data engineers to leverage AI and advanced analytics for business impact.

The Manager, Data Stewardship leads a team to ensure high-quality, well-defined business data in line with governance standards, focusing on metadata and data quality management.