Top Data Management Jobs in Minneapolis, MN

Lead and manage managed-data and analytics engagements, build modern data ecosystems, convert insights into strategic opportunities, oversee project planning and delivery, mentor and develop staff, manage client accounts, uphold quality and compliance, and drive cloud-scale data development and transformation initiatives.

Lead development and execution of data governance strategies, supervise and mentor teams, manage client accounts and deliverables, analyze data to inform decisions, ensure compliance with firm standards, and drive improvements in data management and innovative, data-driven solutions.

Lead design and implementation of healthcare data architecture and pipelines. Influence stakeholders, mentor teams, ensure HIPAA/PHI compliance, apply interoperability standards (FHIR, HL7), integrate EMR systems, and drive GenAI-enabled data solutions to improve healthcare operations and quality reporting.

Lead development and execution of data-driven strategies, manage project planning and delivery, analyze complex datasets to generate insights, coach and mentor team members, implement cloud data architectures, and uphold quality and ethical standards in client engagements.

Lead data engineering engagements within managed services: design data architectures and pipelines, implement ETL and AWS/Redshift solutions, deliver BI and visualization, coach teams, manage SLAs, apply systems thinking, validate client outcomes, and drive performance improvements.

Lead design and delivery of data architecture and engineering solutions. Develop ETL/ELT pipelines, manage data warehouses/lakes, ensure data governance and security, mentor teams, partner with stakeholders to translate requirements into scalable cloud-based data systems.

Lead and manage data engineering projects and teams to build scalable ETL/ELT pipelines, cloud-based analytics, and reporting solutions. Design and maintain data architectures, integrate databases and CDC tools, tune performance, and collaborate with stakeholders to drive data-driven decisions and client outcomes. Mentor staff and ensure project delivery and standards.

Lead design and implementation of data architecture, pipelines, and cloud-based solutions. Manage large data engineering projects, ensure data governance and security compliance, translate stakeholder needs into technical designs, coach teams, and advise clients strategically to drive project success and innovation.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Lead development and execution of data governance strategies, supervise and mentor teams, manage client accounts and deliverables, analyze data to inform business decisions, ensure compliance with firm standards, and identify improvements to data management processes.

Lead development and execution of data-driven strategies, manage and mentor a data analytics team, oversee project planning and delivery, analyze complex datasets to produce actionable insights, implement cloud data architectures, and support data governance and continuous improvement.

Lead design and delivery of cloud-based data architecture, data models, ETL/ELT pipelines, data warehouses/lakes, and data security. Manage projects, mentor team members, ensure governance compliance, collaborate with stakeholders, and optimize cloud infrastructure for performance, cost, and scalability.

Lead design and implementation of data architecture and cloud-based data engineering solutions. Manage large projects, translate stakeholder requirements into technical designs, ensure data governance and security, develop data models and pipelines, advise clients strategically, and coach teams to deliver operational excellence.

Lead and scale enterprise data governance operations: manage the data domain model and business glossary, run governance council operations, enforce data policies and compliance (SOC 2, GDPR/CCPA), drive catalog adoption and data literacy, and measure governance maturity and ROI through dashboards and remediation workflows.

Oversee data ingestion and transformation, manage finance data sources, ensure scalability and reliability of data platforms, and collaborate with stakeholders to align data engineering with organizational goals.

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 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 Manager of Data Analytics leads a team of analysts, managing analytics delivery, providing guidance, and enhancing processes for improved operational insights.

Lead design and build of a cloud-based data platform; manage and mentor data engineering staff; define engineering standards, data governance, and access controls; partner with stakeholders to deliver scalable, reliable data pipelines and platform services for analytics and AI.

Lead enterprise customer data governance and master data management. Define standards, golden records, data quality rules, and lineage. Partner cross-functionally to resolve data issues, ensure compliance, run SQL-based analyses, and drive change to enable data-driven decision making across global operations.

Lead the design, build, and scaling of an enterprise data governance platform integrating Collibra, Snowflake, and Databricks Unity Catalog across multi-cloud and on-prem environments. Define governance frameworks for lineage, metadata, quality, access, and compliance; drive API-driven automation, interoperability standards, and adoption; partner with engineering, risk, and business stakeholders to deliver measurable KPIs, roadmaps, and executive reporting.

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

The Senior Manager for External Data will lead external data strategy, manage vendor relationships, oversee data research, and ensure compliance across teams to enhance business operations.

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.

Lead a Salesforce data engineering team to design, deliver, and support Salesforce-to-Salesforce integrations and migrations, data modeling, ETL/transformations, automation, and observability. Manage hiring, performance, and career development; partner with stakeholders; adopt AI/LLM agent tooling to automate workflows and improve data quality; reduce technical debt and document systems and processes.