Top Data Management Jobs in Minneapolis, MN

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

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.

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 data engineering teams, define architecture, and build scalable data platforms for analytics and AI applications, focusing on collaboration and reliability.

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 Data Scientist Manager will oversee analytics projects, support campaign execution, manage data sets, and provide business-driven analytic solutions while collaborating with teams across the organization.

The Data Analysis Manager will lead analytics projects, mentor analysts, ensure data integrity, and deliver actionable insights to inform business decisions.

Lead cross-functional initiatives for supplier data governance and management, ensuring data quality and compliance while enabling strategic decision-making across business functions.

Oversee data governance operations, establish quality rules, and support the strategic rollout of the Data Governance program, collaborating with Technology and business units.

The Senior Manager - Enterprise Data Governance is responsible for implementing data governance policies, ensuring data quality, and coordinating between technology and business units to align data governance strategies.

The role involves leading a team to ensure high-quality clinical study data, overseeing data quality operations, and enhancing analytics and reporting practices.

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 Data Scientist Manager will lead data analysis and modeling, manage data sets, execute marketing campaigns, and provide analytic solutions to business problems.

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.

The Technical Data Manager will support NPI across product lines, manage data entry, and create Engineering Change Orders during product lifecycle.

Lead the Global Analytics team at Hitachi Vantara, driving data-driven decision making by managing data analysis projects and mentoring analysts.

The Senior Manager will optimize cloud costs and ensure financial accountability across data platforms, utilizing Snowflake and AWS services, while managing budgets and implementing automation for efficiency.

As a Manager, Data Management, you will oversee data governance, collaborate with partners on design and implementation, and ensure data quality. You'll analyze user requests, resolve data issues, and lead projects related to data management and best practices.

The Ecommerce Data Analytics Manager analyzes pricing, profitability, and marketing performance to optimize revenue and improve decision-making across the ecommerce business.

The Data Product Manager will lead the lifecycle of the data product, engage with clients for reporting needs, define KPIs, collaborate with teams, and ensure successful product launches.

Lead the data management strategy and team to design, build, and maintain scalable ETL pipelines and data infrastructure. Implement data governance, ensure data quality, optimize performance using tools like Airflow, Iceberg, Trino, and Spark, and collaborate with cross-functional teams to make data accessible and actionable.

The Clinical Data Manager oversees clinical trial databases, creates documentation, reviews data, trains staff, and ensures compliance with regulatory standards.