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Master Data Governance Jobs in Minnesota (NOW HIRING)

Data Governance Lead

Minneapolis, MN · On-site

$105 - $112/hr

Support Master Data Management (MDM) initiatives and governance maturity * Define governance KPIs related to data quality, accessibility, and compliance * Serve as a bridge between technical and ...

Govern master and reference data within ERP platforms, including SAP and Oracle * Define and maintain the enterprise data governance framework, including policies, standards, and operating procedures

Master Data Manager

Oakdale, MN · On-site

$80 - $100/hr

This role leads master data management across the enterprise and is responsible for both governance and hands‑on operational maintenance. The global Master Data Manager plays an essential role in ...

Govern master and reference data within ERP platforms, including SAP and Oracle * Define and maintain the enterprise data governance framework, including policies, standards, and operating procedures

Data Governance- Manager

Minneapolis, MN · On-site

$99K - $232K/yr

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

Data Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

Preferred Experience Enterprise data architecture Finance and accounting domain expertise Snowflake, Databricks, Azure, or comparable platforms Data governance and master data management AI-ready ...

New

Data Governance & Stewardship o Collaborate with data owners and business teams to define data standards and business rules. o Support master data management initiatives. o Document data definitions ...

Data Governance & Stewardship o Collaborate with data owners and business teams to define data standards and business rules. o Support master data management initiatives. o Document data definitions ...

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Master Data Governance information

See Minnesota salary details

$20

$53

$84

How much do master data governance jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for master data governance in Minnesota is $53.65, according to ZipRecruiter salary data. Most workers in this role earn between $39.81 and $65.67 per hour, depending on experience, location, and employer.

What is master data governance?

Master Data Governance refers to the processes, policies, standards, and tools used to ensure the accuracy, consistency, and security of an organization's critical data—often called 'master data.' This includes information about customers, products, suppliers, and other key business entities. Effective master data governance helps organizations avoid data duplication, inconsistencies, and errors, resulting in improved decision-making and operational efficiency. It typically involves collaboration across business units and relies on both technology and strong data stewardship practices.

What are the typical daily responsibilities of a master data governance professional?

Professionals in Master Data Governance are responsible for maintaining data quality, ensuring compliance with data standards, and coordinating data-related processes across departments. On a daily basis, you may review data entries for accuracy, develop and enforce governance policies, collaborate with IT and business teams to resolve data issues, and support data integration projects. This role often involves monitoring data workflows, preparing reports for stakeholders, and training end-users on data management best practices.

What are the key skills and qualifications needed to thrive as a master data governance professional?

To thrive as a Master Data Governance professional, you need expertise in data management, data quality principles, and a strong understanding of master data domains, often supported by a degree in information systems or related fields. Familiarity with data governance frameworks, data management tools (like Informatica or SAP MDG), and relevant certifications such as CDMP is typical. Strong analytical thinking, communication, and stakeholder management skills help you collaborate across business units and drive data governance initiatives. These capabilities are crucial for ensuring data consistency, compliance, and supporting effective business decision-making.

What is the difference between Master Data Governance vs Data Analyst?

AspectMaster Data GovernanceData Analyst
CredentialsData management certifications, knowledge of data governance frameworksStatistics, data analysis, and visualization skills, often with a degree in related fields
Work EnvironmentCollaborative, policy-driven, cross-departmental teamsAnalytical, project-focused, often in business or IT teams
Industry UsageUsed across industries for data quality and complianceUsed for data insights, reporting, and decision-making

Master Data Governance focuses on establishing policies and standards for managing critical data assets, ensuring data quality and compliance. Data Analysts interpret and analyze data to support business decisions. While both roles work with data, Master Data Governance emphasizes data integrity and policy, whereas Data Analysts focus on data insights and reporting.

Is data governance a good career?

Data governance is a valuable career path for those interested in managing data quality, compliance, and security within organizations. It often requires skills in data management tools, understanding regulatory requirements, and strong communication abilities. The role offers opportunities for advancement in data-driven industries and can involve certifications like CDMP or DAMA-DMBOK.

What are popular job titles related to Master Data Governance jobs in Minnesota?

For Master Data Governance jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Master Data Governance jobs in Minnesota look for?

The top searched job categories for Master Data Governance jobs in Minnesota are:

Infographic showing various Master Data Governance job openings in Minnesota as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 10% Part Time, and 12% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $111,593 per year, or $53.7 per hour.

Data Governance Lead

Minneapolis, MN • On-site

Inspire Medical Systems Inc.
Outpatient Health Care • 201 - 500 employees

Full-time

Re-posted 6 days ago


Job description

  • The Data Governance Lead will build and mature Inspire's enterprise data governance program, establishing the policies, processes, and stewardship practices that ensure data is trusted, governed, and fit for business and regulatory use.

    This role partners closely with business leaders, data owners, data stewards, data engineering and analytics teams to improve data quality, master data, and governance adoption across the organization. The Data Governance Lead will help embed governance principles into data products and engineering processes.

    We are looking for a collaborative, business-oriented data governance leader who can help scale governance practices and AI readiness across Inspire's modern data ecosystem while enabling trusted data products, regulatory readiness, and measurable business outcomes.

    Key Responsibilities

    • Build and mature Inspire's enterprise data governance program, operating model, and stewardship framework.
    • Establish and maintain governance standards, policies, and best practices for data ownership, quality, metadata, lineage, security, data products, and lifecycle management.
    • Partner with business stakeholders to establish data ownership, stewardship responsibilities, governance processes, and critical data elements that ensure accountability for enterprise data assets.
    • Partner with business leaders to define and align organizational KPIs and performance measures that improve visibility into strategic priorities, operational performance, and business outcomes.
    • Serve as the governance representative in technical discussions, providing leadership and guidance on data modeling, metadata, lineage, master data, data quality, and trusted data product design ensuring alignment with governance, quality, and stewardship standards.
    • Lead metadata management, data catalog, lineage, master data, and stewardship initiatives across the enterprise.
    • Facilitate governance councils, stewardship forums, and cross-functional working sessions.
    • Drive adoption of governance practices across business and technology teams through education, engagement, and measurable outcomes.
    • Promote the creation of trusted, well-documented, and reusable data products that support reporting, analytics, decision-making, and emerging AI capabilities.
    • Partner with business leaders, Quality, Privacy, Legal, Regulatory, and Information Security teams to ensure data governance practices support regulatory compliance while enabling business outcomes.
    • Measure and communicate governance program maturity, adoption, and business value.

    Required Qualifications

    • 5+ years of experience in data governance, data management, master data management, data quality, analytics, or a related discipline.
    • Experience building or maturing an enterprise data governance program.
    • Ability to engage effectively with architects, engineers, and analytics teams on topics including data modeling, data integration, data quality, metadata, lineage, master data management, and data product design.
    • Strong ability to influence and drive changes across business and technology organizations.
    • Excellent communication, facilitation, and stakeholder management skills.
    • Strong organizational, analytical, and problem-solving skills with the ability to manage competing priorities in a dynamic, results-oriented environment.
    • Commitment to continuous improvement, practical problem solving, and advancing data governance maturity across the organization.

    Preferred Qualifications

    • Experience with modern Microsoft and Azure data platforms, including Profisee, Purview, Databricks, and Unity Catalog.
    • Experience in a regulated industry such as medical devices, healthcare, life sciences, or other compliance-focused environments.
    • Experience partnering with data engineering and analytics teams to operationalize governance practices.
    • Familiarity with data cataloging, Lakehouse architecture, Medallion architecture, and trusted data products.
    • Experience serving as a business, governance, or product lead for enterprise data platforms and governance technologies.
    • Experience coordinating work with offshore, contractor, or managed services resources.
    • Experience presenting data concepts, risks, metrics, and recommendations to executive stakeholders.
     

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