Top Data Management Jobs in Chicago, IL

Lead Finance Data & Analytics to build trusted data sources, governance, and analytics for Finance and cross-functional stakeholders. Manage analysts, drive data strategy and Snowflake data models, produce insights via SQL and Tableau, and deploy AI solutions to optimize finance decision-making and operations.

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.

Senior Data Risk Manager providing second-line oversight for enterprise data risk. Conduct risk and gap assessments, advise business and technology partners, embed data governance and quality controls, and influence product roadmaps to ensure regulatory compliance and strong data management practices.

The Data Analysis Manager will drive strategies using analytics, lead a team of analysts, enhance customer experiences, and improve data processes.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

Lead and grow an engineering team to build, consolidate, and integrate a Wealth Management data warehouse. Partner with business stakeholders, drive long-term technology strategy, enable agile/product teams, ensure robust data modeling and data quality, and deliver market and post-trade data solutions with engineering excellence.

Lead daily master data operations and governance, manage MDM tools and integrations, ensure data quality and remediation, establish metrics and SLAs, lead and develop a team, manage vendors, and drive continuous process improvement and stakeholder enablement.

Lead marketing analytics by owning customer data, tracking, and reporting. Manage web tagging, query warehouses with SQL, build dashboards (Tableau/Looker), optimize campaigns and leads (Salesforce/HubSpot), implement attribution and A/B testing, and collaborate with engineering to automate data pipelines and enrichment.

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 Manager, Data & Analytics will generate insights, analyze data, collaborate across functions, and improve analytics practices, primarily in the banking sector.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Lead and scale the enterprise data hub: manage the data warehouse, build reliable ingestion and transformation pipelines, implement governance and data modeling best practices, deliver GTM-ready metrics, enable AI/ML use cases, prioritize the data roadmap, and lead/mentor a data engineering team.

The Market Data Manager will oversee vendor relationships, support data governance, ensure data quality, compliance, and align strategies with business needs.

Lead a Data & Analytics Center of Excellence to build governed data products, migrate legacy platforms to Azure/Fabric, manage SI governance and delivery quality, enable self-service analytics and data literacy, partner with business stakeholders, and mentor a team of BI engineers and analysts to deliver strategic, cross-functional data solutions.

Administer and maintain CRM and data systems (EveryAction, Salesforce, BigQuery, CARTO), respond to staff and affiliate data/tech requests, ensure data quality and de-duplication, create and deliver training materials, build network capacity, manage vendor/consultant relationships, and travel occasionally for in-person trainings and support.

Lead end-to-end governance and operations of Salesforce's Accountability Performance Matrix (APM), owning master product hierarchy, product allocations, and change management. Partner with Data Engineering and Finance to migrate to an automated APM 2.0, define Org62 CRM product allocation fields, lead UAT, support new product introductions and complex bundle mappings, and scale operational processes to ensure accurate executive financial and forecasting reporting.

Lead end-to-end delivery of data platform engagements: design and implement scalable ingestion and transformation pipelines, write and review production code (Python/SQL/Scala/Spark), architect cloud environments, advise clients, manage and mentor teams, and support practice development and business development activities.

Lead Salesforce administration and data quality efforts, manage data model transformations and integrations (FormAssembly, WordPress), handle support tickets and training, create documentation and user enablement, oversee external data collection processes, and collaborate with internal teams and external consultants to build a data-driven culture.

Lead data engineering and product efforts for sales and marketing: define metrics, build scalable Databricks/Azure data pipelines, enforce data governance, produce analytic models and dashboards, and partner with stakeholders to improve data quality, consistency, and decision-making.

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.

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.

Lead a small data engineering team partnering with Engagement Marketing to build scalable ETL/ELT pipelines, ensure data quality, define marketing metrics, integrate trusted data with ad platforms, and drive the data roadmap to enable measurement and growth.

The role involves leading the data governance team, managing IT projects, collaborating with stakeholders, and ensuring continuous improvement of processes. Responsibilities include strategic planning, client management, and optimizing resource utilization, while overseeing governance activities and departmental management.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.

Lead end-to-end data migration strategy and execution for complex franchise partners—perform discovery, map legacy data, troubleshoot imports, align stakeholders, and build scalable playbooks to standardize data delivery and ensure seamless platform transitions.