Top Data Management Jobs in Chicago, IL

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.

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

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 Manager of Ontology and Data Modeling leads the development of enterprise ontologies, collaborates across teams, and manages semantic integration within Capital One's products, while advocating for knowledge organization strategies and maintaining industry standards.

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 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 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.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

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 the implementation of data frameworks, manage a regional team, drive data quality and governance, and engage stakeholders in data culture transformation.

As a Senior Manager, Data Analysis, you will validate analytical tools, assess methodologies, lead data analysis projects, and coach junior staff. You'll work cross-functionally to improve governance frameworks for payment types and integrate predictive risk signals.

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.

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 Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies, collaborate with teams, advocate for semantic technology, and support data integration efforts at Capital One.

This role involves leading a team in managing the CCC data platform, overseeing database engineering, vendor relationships, and operational objectives while leveraging AI to enhance efficiency.

The role involves overseeing data governance, risk assessment, and control practices, enhancing operational efficiency through automation, and engaging with senior leadership on risk management strategies.

The Manager, Data Strategy leads client reporting and measurement efforts, ensuring accuracy and alignment with business goals while managing relationships and collaborating with internal teams.

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.

The Senior Manager, Audit Data Analytics & Visualization designs and delivers innovative solutions for audit enhancements, analyzes data trends, builds reporting dashboards, and collaborates with teams to optimize decision support tools in data visualization.

The Cloud Engineer will design, deploy, and maintain Azure-based solutions, collaborating with teams to ensure effective cloud service implementation and management.

This role involves leading the Data & AI team, building modern data platforms using Microsoft technologies, overseeing project delivery, and mentoring team members while engaging with clients.

The Director/Sr. Director, Data Product Manager leads data product strategy for the insurance domain, ensuring alignment with business goals while overseeing a team of Data Product Leads.

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.