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Remote Data Management 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.

Centstone

Database Architect

Minneapolis, MN · Remote

$65.25 - $84/hr

Minnesota (Remote/Hybrid) Experiance : 8+ years We are seeking an experienced Azure Database ... Strong expertise in Azure SQL Database , Managed Instances, and Azure Data Lake. * Hands-on ...

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Remote Data Management information

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$11

$41

$83

How much do remote data management jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote data management in Minneapolis, MN is $41.37, according to ZipRecruiter salary data. Most workers in this role earn between $21.09 and $58.19 per hour, depending on experience, location, and employer.

What is remote data management?

Remote Data Management refers to the practice of organizing, storing, securing, and analyzing data from a location outside of an organization's physical premises. Professionals in this field use cloud-based tools and remote access software to manage databases, ensure data integrity, and facilitate data sharing among distributed teams. This approach enables businesses to maintain their data infrastructure efficiently while supporting remote work and global collaboration. It also involves implementing protocols to ensure data security and compliance with relevant regulations.

What are remote jobs in data management?

Various types of remote data management jobs are available in healthcare and insurance, with titles like clinical data manager, analyst, and auditor. In these jobs, you manage a database and provide analysis of information related to clinical trials, medical payments, operational activities, and more. Your duties and responsibilities include generating reports, database administration, and providing support for coworkers throughout your organization, but your responsibilities can vary based on what kinds of data you store. Additionally, you work with your company’s leadership to address issues affecting the availability and use of data and proactively suggest strategies for improving efficiency and accuracy. In some roles, you also participate in project planning, resource allocation, and budgeting.

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

To thrive in Remote Data Management, you need strong analytical skills, attention to detail, and a solid understanding of database concepts, often supported by a degree in information systems or a related field. Proficiency with data management tools such as SQL, Microsoft Excel, and cloud-based platforms like AWS or Google Cloud, as well as knowledge of data privacy regulations, is typically required. Excellent communication, self-motivation, and time management are important soft skills for collaborating with distributed teams and managing tasks independently. These skills ensure accurate, secure, and efficient handling of data assets while maintaining productivity and compliance in a remote work environment.

What are some common challenges faced in remote data management, and how can they be addressed?

One common challenge in remote data management is ensuring data security and integrity while working outside a traditional office environment. Remote team members must follow strict protocols for data access and regularly update security measures to protect sensitive information. Additionally, effective communication and collaboration with cross-functional teams can be more difficult remotely, so utilizing project management and communication tools is vital. Establishing clear workflows and regular check-ins helps maintain data consistency and team alignment.

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

AspectRemote Data ManagementData Analyst
CredentialsTypically requires a degree in IT, Computer Science, or related fields; certifications like Microsoft Certified Data Analyst or AWS Data AnalyticsRequires a degree in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist
Work EnvironmentPrimarily remote, working with databases, data warehouses, and cloud platformsRemote or on-site, analyzing data sets, creating reports, and visualizations
Industry UsageUsed across IT, finance, healthcare, and e-commerce sectorsCommon in finance, marketing, healthcare, and consulting industries

Remote Data Management and Data Analysts share overlapping skills in data handling and analytics, but differ mainly in focus. Remote Data Management emphasizes database administration and cloud platforms, while Data Analysts focus on interpreting data and creating insights. Both roles are vital in data-driven organizations and often collaborate to optimize data use.

More about Remote Data Management jobs

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Remote Data Management jobs near you
Infographic showing various Remote Data Management job openings in Minneapolis, MN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $86,042 per year, or $41.4 per hour.

Data Product Manager

S R INTERNATIONAL INC

Saint Paul, MN • Remote

Full-time

Posted yesterday

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.