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Remote Data Management Jobs in Michigan (NOW HIRING)

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

... management leases Tuition assistance Established and active employee resource groups Paid time off ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Behnke, Inc.

Data Entry Operator

MI · On-site +1

$17 - $23/hr

Dental insurance We are looking for a detail-oriented individual to join us as a Data Entry Clerk ... management skills This is a remote position. Compensation: $17.00 - $23.00 per hour

New

Niles-2

Data Entry Operator

Niles, MI · Remote

$27/hr

This is a remote position. Responsibilities: * Accurately enter a wide variety of information into ... Ability to meet deadlines and manage workload efficiently * Experience working in a healthcare ...

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Remote Data Management information

What are some common challenges faced in a remote data management role, 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 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 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.

What are the key skills and qualifications needed to thrive as a Remote Data Management professional, and why are they important?

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 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.

More about Remote Data Management jobs
What are the most commonly searched types of Data Management jobs in Michigan? The most popular types of Data Management jobs in Michigan are:
What are popular job titles related to Remote Data Management jobs in Michigan? For Remote Data Management jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data Management jobs in Michigan look for? The top searched job categories for Remote Data Management jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Management jobs? Cities in Michigan with the most Remote Data Management job openings:
Remote Data Management jobs near you
Infographic showing various Remote Data Management job openings in Michigan as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Director, AI, Data and Developer Enablement

Director, AI, Data and Developer Enablement

Meijer Companies Ltd

Grand Rapids, MI • On-site, Remote

Full-time

Posted 4 days ago

New

Meijer rating

6.2

Company rating: 6.2 out of 10

Based on 1,608 frontline employees who took The Breakroom Quiz

20th of 39 rated national retailers

Job description

As a family company, we serve people and communities. When you work at Meijer, you're provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family - take care of your career and your community!

Meijer Rewards

  • Weekly pay

  • Scheduling flexibility

  • Paid parental leave

  • Paid education assistance

  • Team member discount

  • Development programs for advancement and career growth

Please review the job profile below and apply today!

Position will follow our hybrid schedule: Monday-Wednesday in Grand Rapids MI Corporate office, Thursday-Friday remote.


What You'll be Doing:

Data Engineering, Analytics & AI/Automation

  • Lead the design, development, and implementation of data engineering, analytics, and AI/automation solutions to support business objectives.

  • Oversee data architecture, ensuring data integrity, security, and scalability.

  • Manage and mentor a team of data engineers, data scientists, and analysts, fostering a culture of collaboration and continuous improvement.

  • Collaborate with cross-functional teams to identify data needs and develop strategies to leverage data for business insights and decision-making.

  • Drive adoption of best practices in data management, analytics, and AI/automation.

  • Ensure compliance with data governance policies and regulations.

  • Stay current with industry trends and emerging technologies in data engineering, analytics, and AI/automation.

  • Develop and manage budgets, resources, and timelines for data projects.

  • Ensure all teams follow engineering and IT standards for change controls and IT practices for production systems.

Enterprise Quality Adoption

  • Own the enterprise quality strategy - embed quality into the software development lifecycle, not onto it.

  • Drive adoption of test automation, shift-left testing, and continuous quality practices across all engineering teams.

  • Define and enforce quality standards, frameworks, and tooling across the portfolio; ensure consistent adoption at scale.

  • Partner with engineering and product teams to establish quality gates that protect production stability without slowing delivery.

  • Report on quality health across domains, with clear visibility into defect rates, test coverage, and release readiness.

Engineering Delivery Performance - DORA Metrics

  • Establish DORA metrics (Deployment Frequency, Lead Time for Changes, Change Failure Rate, Mean Time to Recovery) as the standard measurement framework for engineering delivery health.

  • Own the baseline, targets, and reporting cadence for DORA metrics across teams; surface trends to senior leadership with clear business context.

  • Use DORA data to identify delivery bottlenecks, prioritize platform and process investments, and demonstrate improvement over time.

  • Connect engineering performance to business outcomes - faster delivery and lower failure rates translate directly to customer experience and cost efficiency at Meijer's scale.

  • Partner with DevOps and platform teams to build the tooling and observability infrastructure required to measure and improve DORA outcomes.

IT General Controls (ITGC)

  • Accountable for ITGC compliance across the technology domains in scope - change management, access controls, computer operations, and program development controls.

  • Partner with Internal Audit, Compliance, and Finance to ensure controls are designed, operating effectively, and audit-ready.

  • Own remediation of ITGC deficiencies; drive root cause analysis and sustainable control improvements rather than point-in-time fixes.

  • Ensure all teams understand and operate within ITGC requirements as a standard part of the delivery process - not a compliance afterthought.

  • Maintain documentation, evidence, and control narratives sufficient to support SOX and internal audit cycles.

What You Bring with You (Qualifications):

Education

  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Master's degree preferred.

Experience

  • 10+ years of experience in data engineering, analytics, and AI/automation, with at least 5 years in a leadership role.

  • Proven experience establishing and scaling enterprise quality practices across large engineering organizations.

  • Hands-on experience implementing DORA metrics programs and using delivery performance data to drive engineering improvement.

  • Demonstrated experience with ITGC compliance, SOX controls, or equivalent control frameworks in an enterprise environment.

  • Track record of managing multiple complex programs simultaneously in a fast-paced, high-scale environment.

Technical Skills

  • Strong knowledge of data architecture, data warehousing, ETL processes, and data modeling.

  • Proficiency in Python, Java, or Scala; experience with big data technologies including Spark, Kafka, and Databricks.

  • Expertise in machine learning and AI frameworks (TensorFlow, PyTorch, scikit-learn or equivalent).

  • Familiarity with CI/CD tooling, test automation frameworks, and observability platforms used to track delivery and quality metrics.

  • Working knowledge of ITGC control domains: logical access, change management, computer operations, and program development.

Leadership & Communication

  • Strong communication and interpersonal skills; able to collaborate with and influence stakeholders at all levels.

  • Speaks the language of business outcomes - connects technology performance to cost, revenue, and customer experience.

  • Proven ability to manage multiple priorities and drive accountability across matrixed teams.

What Meijer employees say

Pay

Benefits

Hours and flexibility

Workplace

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