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Remote Data Governance Jobs in Eden Prairie, MN (NOW HIRING)

Huntington

Segment Data Officer - 3

Minneapolis, MN · On-site +1

$125K - $255K/yr

Drives effective data management and governance practices and ensures adherence to the Data Policy ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Establish data governance frameworks, including data quality checks, validation rules, and ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Establish data governance frameworks, including data quality checks, validation rules, and ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Establish data governance frameworks, including data quality checks, validation rules, and ...

Huntington

Application Architect (IT)

Minnetonka, MN · On-site +1

$70K - $140K/yr

The role also ensures strong data governance, system performance, and alignment with downstream ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Application Architect (IT)

Minneapolis, MN · On-site +1

The role also ensures strong data governance, system performance, and alignment with downstream ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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How much do remote data governance jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote data governance in Eden Prairie, MN is $55.85, according to ZipRecruiter salary data. Most workers in this role earn between $41.44 and $68.37 per hour, depending on experience, location, and employer.

What is a remote data governance?

A Remote Data Governance job involves creating and enforcing policies, procedures, and standards for managing data across an organization while working remotely. Professionals in this role ensure data quality, security, accessibility, and compliance with industry regulations. They collaborate with IT, legal, and business teams to implement data governance frameworks, monitor data usage, and mitigate risks. Strong analytical, communication, and technical skills are essential for success in this role.

What are the key skills and qualifications needed to thrive in remote data governance?

To thrive as a Remote Data Governance professional, you need a solid understanding of data management principles, data quality standards, compliance regulations, and experience with data governance frameworks, often backed by a degree in information systems or a related field. Familiarity with tools such as Collibra, Informatica, or Microsoft Purview, as well as certifications like CDMP (Certified Data Management Professional), is highly valued. Strong analytical thinking, clear communication, and the ability to collaborate across remote teams are key soft skills for this position. These capabilities are vital for ensuring data integrity, regulatory compliance, and smooth coordination in a distributed work environment.

What are some typical challenges faced in remote data governance, and how can I prepare to address them?

Professionals in remote data governance roles often encounter challenges such as aligning data standards across geographically dispersed teams, ensuring up-to-date documentation, and maintaining consistent communication around data policies. To be successful, it's important to develop proactive communication habits, learn remote collaboration tools, and stay organized with project management systems. Regularly participating in cross-team meetings and continuous professional development in data governance best practices can help you navigate these obstacles. Being adaptable and solution-oriented will enable you to effectively support your organization's data governance initiatives while working remotely.

What job categories do people searching Remote Data Governance jobs in Eden Prairie, MN look for?

The top searched job categories for Remote Data Governance jobs in Eden Prairie, MN are:

What cities near Eden Prairie, MN are hiring for Remote Data Governance jobs?

Cities near Eden Prairie, MN with the most Remote Data Governance job openings:

Remote Data Governance jobs near you
Infographic showing various Remote Data Governance job openings in Eden Prairie, MN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,167 per year, or $55.8 per hour.

Data Product Manager

S R INTERNATIONAL INC

Saint Paul, MN • Remote

Full-time

Posted 5 days ago

Job description

Job Title: Data Product Manager
Job Code: MNSITE-3838
Client: Minnesota IT Services (MNIT) / Department of Children, Youth, and Families (DCYF)
Location: St. Paul, MN – Remote or Hybrid
Duration: Until August 2027
Work Hours: Monday–Friday, 7:00 AM–6:00 PM CT, 40 hours/week
Closing Date: 09/08/2026 at 2:00 PM CDT
Position Overview

MNIT/DCYF is seeking a Data Product Manager to lead the strategy, roadmap, and execution of data initiatives that transform organizational data into scalable, high-value data products, including curated datasets, analytics platforms, and data infrastructure.
The role will work closely with data engineering, data science, analytics, enterprise architecture, and business teams to modernize legacy mainframe data environments and transition toward data lakes and modern data curation platforms. The Data Product Manager will guide products through the full lifecycle, from ideation and design through development, deployment, monitoring, and deprecation.
Required Skills

  • 4–7 years of experience in data management, data analytics, data engineering, or related fields.
  • Strong Product Management / Product Leadership experience.
  • Strong understanding of data systems, data pipelines, data warehousing, data modeling, metadata, and data governance.
  • Experience collaborating with Data Architecture, Data Engineering, and Data Science teams.
  • Ability to translate complex technical concepts into business-friendly language.
  • Strong communication, prioritization, stakeholder management, and analytical skills.
  • Experience with analytics and BI tools such as Power BI, Tableau, Looker, dbt, or Google Analytics.
  • Experience with SQL, data lakes, data pipelines, and ETL.
  • Significant experience with Databricks.
  • Familiarity with Java and Python.
  • Experience implementing modern data architectures.
  • Experience building internal platforms or developer-facing data products.
  • Understanding of enterprise data sharing constraints and data-sharing agreements.
  • Experience in a highly regulated environment involving statistical analysis and reporting.
Key Responsibilities

  • Define the vision, strategy, and roadmap for enterprise data products.
  • Identify high-value opportunities based on business needs, data landscapes, and organizational priorities.
  • Lead the end-to-end data product lifecycle including requirements, design, development, testing, launch, and iteration.
  • Partner with data engineers and data scientists to build scalable pipelines, models, and data services.
  • Ensure data quality, governance, lineage, metadata, and documentation standards.
  • Translate business logic into data transformations, metadata, and domain-specific rules.
  • Serve as the primary liaison between technical teams and DCYF business stakeholders.
  • Define success metrics, KPIs, dashboards, and reporting frameworks.
  • Ensure data products provide actionable insights and support data-driven decision making.
  • Promote responsible data use, privacy, governance, compliance, and ethical AI practices.
  • Support modernization from legacy mainframe systems to modern data lakes and data platforms.
Technical Environment / Primary Skills

Data Product Management, Data Analytics, Data Engineering, Data Management, Data Governance, Data Quality, Data Architecture, Data Modeling, Data Pipelines, ETL, Data Lakes, Databricks, SQL, Power BI, Tableau, Looker, dbt, Google Analytics, Java, Python, Metadata, Machine Learning Operations, Enterprise Architecture, Stakeholder Management, Product Lifecycle, Business Strategy.

 

This is a remote position.