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Remote Data Manager Jobs in Minneapolis, MN (NOW HIRING)

Huntington

Segment Data Officer - 3

Minneapolis, MN · On-site +1

$125K - $255K/yr

The Segment Data Office Manager/Leader works in partnership with our Chief Data & Architecture ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

3M

Data Center Vertical Marketing Manager

Saint Paul, MN · Remote

$168K/yr

On-site US, Minnesota, Maplewood Remote - California US, Texas, Austin Full time R01168597 Data Center Vertical Marketing Manager Collaborate with Innovative 3Mers Around the World Choosing where to ...

3M

Data Center Vertical Marketing Manager

Saint Paul, MN · Remote

$168K/yr

On-site US, Minnesota, Maplewood Remote - California US, Texas, Austin Full time R01168597 Data Center Vertical Marketing Manager Collaborate with Innovative 3Mers Around the World Choosing where to ...

Noblesoft Technologies

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Minneapolis, MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer

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All JobsData JobsRemote Data Manager JobsRemote Data Manager Jobs in Minneapolis, MN

Remote Data Manager information

See Minneapolis, MN salary details

$32.4K

$101.4K

$179.5K

How much do remote data manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data manager in Minneapolis, MN is $101,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $131,000.00 per year, depending on experience, location, and employer.

What is a remote data manager?

A Remote Data Manager is a professional responsible for overseeing the collection, storage, organization, and analysis of data for an organization, while working from a location outside of a traditional office. They ensure data integrity, security, and compliance with relevant regulations. Their duties often include managing databases, setting data policies, and collaborating with teams to support data-driven decision making. Remote Data Managers use various digital tools to communicate and manage data remotely, making this role ideal for those seeking flexible work arrangements.

What are the key skills and qualifications needed to thrive as a remote data manager?

To thrive as a Remote Data Manager, you need a solid background in data management, database administration, and data analysis, typically supported by a degree in computer science or a related field. Expertise in tools such as SQL, data visualization platforms (e.g., Tableau or Power BI), and familiarity with data privacy regulations are commonly required, along with relevant certifications like CDMP or PMP. Strong organizational skills, attention to detail, and effective remote communication abilities set outstanding candidates apart. These skills ensure data integrity, facilitate collaboration across distributed teams, and drive data-driven decision-making within organizations.

What are some typical challenges faced by remote data managers when coordinating with cross-functional teams?

Remote Data Managers often need to collaborate with teams across different departments and time zones, which can make communication and project alignment challenging. They may face difficulties in ensuring data consistency, timely updates, and maintaining data security standards when team members are dispersed. Effective use of collaboration tools, clear documentation, and regular virtual meetings are essential to overcome these challenges and ensure smooth operations.

What is the difference between Remote Data Manager vs Data Analyst?

AspectRemote Data ManagerData Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; experience with database managementBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization tools
Work EnvironmentRemote, often within IT or data teamsRemote or on-site, within business or research teams
Employer & Industry UsageTech companies, healthcare, finance, where data management is criticalMarketing, finance, consulting, analyzing data trends

Remote Data Managers focus on maintaining and organizing data systems, ensuring data integrity, and managing databases remotely. Data Analysts interpret data, generate reports, and provide insights. While both roles work with data, the Remote Data Manager handles data infrastructure, whereas Data Analysts focus on analyzing data to support decision-making.

What are popular job titles related to Remote Data Manager jobs in Minneapolis, MN?

For Remote Data Manager jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Remote Data Manager jobs in Minneapolis, MN look for?

The top searched job categories for Remote Data Manager jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Remote Data Manager jobs?

Cities near Minneapolis, MN with the most Remote Data Manager job openings:

Remote Data Manager jobs near you
Infographic showing various Remote Data Manager job openings in Minneapolis, MN as of August 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 100% Remote job distribution, with an average salary of $101,400 per year, or $48.8 per hour.

Data Product Manager

S R INTERNATIONAL INC

Saint Paul, MN • Remote

Full-time

Posted 3 days ago

New

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.