Top Senior Data Management Jobs in Minneapolis, MN

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.

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 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 scaling of a commercial channel data management platform for oncology/hematology. Manage vendor and data provider relationships, design data pipelines and governance, improve data quality, oversee data aggregation and provisioning for commercial insights, and ensure compliance, security, and documentation.

Lead a data science team to develop insights from autonomous vehicle data, create scalable platforms for data access, and collaborate with cross-functional teams on performance measures.

The Data Insights Manager uncovers insights from data, builds dashboards, collaborates across teams, and drives data-driven decisions to improve business outcomes.

Lead a team of Data Scientists and Analysts, developing AI and data-driven solutions, driving analytics insights, and fostering collaboration across teams.

Manage a team of data scientists to develop fraud detection models, lead planning and collaboration with leadership, and communicate outcomes effectively while maintaining strong business intuition and technical leadership.

Design and manage curated fact and dimension datasets, semantic/subject-area models, and governance. Partner with BI and data engineering to enable self-service analytics, ensure data quality and documentation, and prepare datasets to support future ML and advanced analytics.

The Senior Manager, Performance Data Operations leads the Population Health Impact team, driving performance improvement initiatives, building complex datasets, and communicating insights to stakeholders. Responsibilities include data analytics, program management, and fostering cross-functional relationships.

The Data Product Manager will oversee the firmographic data foundation, improving data accuracy, structure, and analytics capabilities to enhance talent acquisition and analytics solutions for clients.

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.