Top Data Management Jobs in Chicago, IL

Lead and grow a data engineering team to design, develop, test, and support cloud-based data platforms and streaming solutions. Build full-stack, distributed systems using Spark, Databricks, Snowflake, Redshift, cloud services, mentor engineers, collaborate with product managers, and ensure high-quality, performant code through testing and reviews.

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.

Lead a small team in advanced quantitative analysis, transforming data into insights, developing dashboards, and ensuring data integrity. Collaborate cross-functionally to drive strategic decision-making.

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 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 a team of data scientists to develop, validate, and operationalize marketing mix and multi-touch attribution models. Build econometric and time-series models, derive incremental marketing impact and KPIs, implement non-linear constrained optimization for scenario planning, automate model pipelines, and communicate insights to marketing stakeholders.

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.

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

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.

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.

The Manager of Ontology & Data Modeling develops and maintains ontologies in support of Capital One's Data Strategy, collaborating across teams to implement semantic technology and improve data models.

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

Lead analytics engineering for finance data, delivering governed models and reporting solutions, improving data quality and controls, and partnering with multiple stakeholders.

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.

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.

Lead and develop a data science team to deliver custom insights and media analyses for CPG clients. Own project lifecycle from data discovery and methodology to storytelling and client delivery. Drive automation, best practices, and cross-team collaboration while partnering with account managers and stakeholders to translate data into actionable business recommendations.

The Data Engineering Manager will lead a team to develop data assets for machine learning solutions, improving Actuarial processes by mentoring engineers, ensuring data quality and scalability, and driving innovative analytics strategies.

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.

Lead and implement data and analytics solutions, architect data systems, provide assessments and roadmaps, and mentor teams in a consulting environment.

The Tag Manager will oversee and optimize Rula's tagging ecosystem, ensuring accurate data capture and collaborating cross-functionally to enhance analytics capabilities and data trust.

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.

Lead and manage a team of Data Engineering Specialists, engage with customers, drive revenue growth, and influence Snowflake's product strategy.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.