Top Data Management Jobs in Chicago, IL

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 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.

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.

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

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

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

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

Lead a team in delivering data solutions including ETL and analytics, manage project timelines, and implement Agile practices while ensuring quality and best development techniques.

Manage a team of data analysts, oversee project delivery, ensure data accuracy, and collaborate with business units to provide insights and recommendations.

The Data Analytics Manager for Travel optimizes corporate travel operations by analyzing data, improving compliance, forecasting budgets, and developing performance reports with actionable insights.

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

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

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.

The Data & Operations Reporting Manager provides strategic oversight for reporting tools, ensures report accuracy, engages stakeholders, manages data supply chain, and oversees solution implementation.

The Data Analytics Manager analyzes complex datasets for private equity and corporate clients, providing insights for transactions, guiding due diligence, and mentoring junior team members.

Manage environmental data from various sources, ensuring compliance and data integrity while performing ETL operations and supporting environmental investigation contracts.

The Data Manager 2 oversees the data lifecycle, supports analytical processes, collaborates with Medicaid IT, and enhances data understanding for equitable health outcomes.

The Manager, Data Migration will oversee data collection, migration planning, and work with engineers on data translation and operations, while building a data migration team.

Manage data governance and Master Data Management, ensuring data quality and oversight. Collaborate with stakeholders and IT on data architecture and strategy.

The FP&A Manager will lead budgeting, forecasting, and implement AI-driven automation to enhance finance processes in a retail environment.

This role involves leading data projects, managing analytics, delivering insights, and mentoring team members while collaborating on data strategies for clients.

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

As a Data Manager, you will oversee data management for clinical trials, ensuring quality outcomes, designing data capture tools, and collaborating on product development.

Manage marketing data systems, track pipeline and revenue analytics, ensure data quality, and provide proactive insights. Collaborate with cross-functional teams to align on metrics and reporting.