Remote Data Operations Manager Jobs
Remote data operations manager jobs are open across the U.S. at remote-first companies and distributed teams in sectors like software, financial services, and healthcare. Employers hiring remotely right now include Oscar Management Corporation, M&T Bank, and Enlighten. See the openings below and apply to the ones that match your experience.
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Showing 5 of 54+ Remote Data Operations Manager jobs
General Information
Location:
Position Type:
Virtual Eligible:
Job Category:
Ref #:
Description and Requirements
Translate ambiguous business questions and concerns into specific quantitative questions to be answered with available data. Resolve problems in business planning, management and optimization projects. Research and develop solution products for business processes in Statistical Interference/Analysis/Modeling, Machine learning and Natural Language Processing, Artificial Intelligence, Algorithms, Data Mining and Modeling, and Big Data Query. Design, coordinate and execute pilots or proof of concepts to evaluate new initiatives, technologies and frameworks. Collaborate with cross-functional teams to deploy data science solution and utilize the insights and recommendations generated by analytical models. Drive volume forecasts into the planning exercise for investment decisions with finance and the leadership team. Create optimal short-term plans for businesses by managing trade-offs between Students Experience/Service Levels, Employee Experience, and Cost Effectiveness. Propose and design effective data visualizations for reports, presentations and analytical products to highlight key insights, relationships among features and research findings. Communicate project results to ensure reports are created using credible qualitative and quantitative methodologies. Advise management and project stakeholders on recommended courses of action based on final model output. Evaluate effectiveness of new data sources and practicality of analytics platform. Stay abreast of current trends, analysis and research in the industry. Position may telecommute from anywhere in the U.S. 5 days per week. Annual salary: $102,000.
Minimum Requirements:
Master's degree in Computer Science, Business Analytics, Statistics, Industrial Engineering or a related
field plus 6 months of data science experience in a higher education environment with: (1) SQL programming producing read/ write/modify nested queries; (2) Data preprocessing by slicing data into
cohorts and snapshots; (3) Development and deployment of models scoring in batch or real time; (4) Batch processing of data and model results; (5) AWS Lambda, AWS Redshift, AWS SageMaker cloud environments and tools; (6) Statistical analysis tools including R, Python for machine learning, regression and tree-based models, and Ensemble methods; (7) Statistical analysis with normal distribution, confidence intervals, upper and lower control limits, and p-value; (8) Researching new tools and technologies in the market and presenting findings to leadership; (9) Applying logical reasoning skill to ad-hoc analyses; and (10) Presenting data insights to non-tech stakeholders. Experience may be gained before, during or after Master’s degree.
Interested candidates may apply online at https://uop.avature.net/careers/SearchJobs or may send resume to phoenixjobs@phoenix.edu. Reference code 272 in the subject line.
#LI-DNI
As an Equal Opportunity employer, we particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community.
- Annual Bonus Award
- Medical, dental and vision plans; Flexible Spending Accounts; Health Savings Accounts; Life and Disability insurance; and our Wellness incentive program;
- Competitive 401(k) employer match; and,
- A generous time off package, including paid vacation, sick time and company holidays.*
General Information
Location:
Position Type:
Virtual Eligible:
Job Category:
Ref #:
Description and Requirements
Translate ambiguous business questions and concerns into specific quantitative questions to be answered with available data. Resolve problems in business planning, management and optimization projects. Research and develop solution products for business processes in Statistical Interference/Analysis/Modeling, Machine learning and Natural Language Processing, Artificial Intelligence, Algorithms, Data Mining and Modeling, and Big Data Query. Design, coordinate and execute pilots or proof of concepts to evaluate new initiatives, technologies and frameworks. Collaborate with cross-functional teams to deploy data science solution and utilize the insights and recommendations generated by analytical models. Drive volume forecasts into the planning exercise for investment decisions with finance and the leadership team. Create optimal short-term plans for businesses by managing trade-offs between Students Experience/Service Levels, Employee Experience, and Cost Effectiveness. Propose and design effective data visualizations for reports, presentations and analytical products to highlight key insights, relationships among features and research findings. Communicate project results to ensure reports are created using credible qualitative and quantitative methodologies. Advise management and project stakeholders on recommended courses of action based on final model output. Evaluate effectiveness of new data sources and practicality of analytics platform. Stay abreast of current trends, analysis and research in the industry. Position may telecommute from anywhere in the U.S. 5 days per week. Annual salary: $102,000.
Minimum Requirements:
Master's degree in Computer Science, Business Analytics, Statistics, Industrial Engineering or a related
field plus 6 months of data science experience in a higher education environment with: (1) SQL programming producing read/ write/modify nested queries; (2) Data preprocessing by slicing data into
cohorts and snapshots; (3) Development and deployment of models scoring in batch or real time; (4) Batch processing of data and model results; (5) AWS Lambda, AWS Redshift, AWS SageMaker cloud environments and tools; (6) Statistical analysis tools including R, Python for machine learning, regression and tree-based models, and Ensemble methods; (7) Statistical analysis with normal distribution, confidence intervals, upper and lower control limits, and p-value; (8) Researching new tools and technologies in the market and presenting findings to leadership; (9) Applying logical reasoning skill to ad-hoc analyses; and (10) Presenting data insights to non-tech stakeholders. Experience may be gained before, during or after Master’s degree.
Interested candidates may apply online at https://uop.avature.net/careers/SearchJobs or may send resume to phoenixjobs@phoenix.edu. Reference code 272 in the subject line.
#LI-DNI
As an Equal Opportunity employer, we particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community.
- Annual Bonus Award
- Medical, dental and vision plans; Flexible Spending Accounts; Health Savings Accounts; Life and Disability insurance; and our Wellness incentive program;
- Competitive 401(k) employer match; and,
- A generous time off package, including paid vacation, sick time and company holidays.*
See All 54 Remote Data Operations Manager Jobs
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Who's Hiring
Top Industries Hiring
- Insurance
- Technology & Software
- Banking & Financial Services
- Biotechnology & Pharmaceuticals
What Employers Look For
The qualifications that appear most often in remote data operations manager jobs.
- 5+ years of experience in data engineering, analytics, or data operations roles
- Proficiency in SQL and at least one scripting language such as Python
- Hands-on experience with pipeline orchestration tools like Airflow, dbt, or Prefect
- Experience with cloud data platforms including Snowflake, BigQuery, or Redshift
- Bachelor's degree in computer science, information systems, or a related field
- Familiarity with data governance frameworks and data quality monitoring practices
Tips for Your Remote Data Operations Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data operations manager openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through unrelated listings.
Prove your async communication skills upfront
Remote data operations managers coordinate pipeline issues, data quality reviews, and cross-team reporting over Slack, Confluence, and ticketing systems. Your resume and cover letter should reference written handoffs, async incident documentation, or remote runbooks you've owned.
Highlight your remote toolchain explicitly
Remote employers scan for specific tools: SQL, dbt, Airflow, Fivetran, Looker, and cloud data platforms like Snowflake or BigQuery. Name every relevant tool you've used in production, because distributed hiring managers rely on keyword matching more heavily than in-office teams do.
Prepare for remote-format technical screens
Remote interviews for data operations manager roles typically involve a take-home SQL or pipeline-design exercise followed by a video debrief. Practice explaining your data modeling decisions and incident response reasoning out loud over video before you get to that stage.
Remote Data Operations Manager Jobs: Frequently Asked Questions
How do I get a remote data operations manager job?
Target remote-first companies and distributed enterprises that rely heavily on data pipelines and reporting workflows, since those teams hire data operations managers remotely most often. Remote employers screen for self-direction, strong written communication, and hands-on experience with tools like SQL, dbt, Airflow, or data warehousing platforms. Demonstrating that you've managed data quality, pipeline incidents, or cross-functional coordination without being in the same room as your stakeholders gives you a clear edge.
Which companies hire remote data operations managers?
Companies hiring remote data operations managers right now include Oscar Management Corporation, M&T Bank, and Enlighten, based on current remote listings on Migrate Mate as of September 2026. Remote roles for this position concentrate at remote-first technology firms, distributed SaaS companies, and large enterprises with globally spread data teams.
Can you get a remote data operations manager job with no experience?
Yes, but remote entry-level openings are harder to land because employers expect you to troubleshoot data issues and coordinate across teams without in-person support from day one. Smaller remote-first startups and scale-ups are the most realistic entry point. Showing a portfolio of personal or freelance data projects, familiarity with pipeline and orchestration tools, and documented async communication habits can substitute effectively for formal experience.
Do you need a degree for remote data operations manager jobs?
Not always. Remote employers in this space weigh demonstrated ability to manage data workflows, maintain data quality, and communicate findings in writing far more heavily than a specific degree credential. Candidates who can show real results, such as reduced pipeline failures, improved data documentation, or successful cross-team reporting rollouts, routinely compete alongside those with formal data or business degrees.
Which industries hire the most remote data operations managers?
Most remote data operations manager openings sit in Insurance, Technology & Software, and Banking & Financial Services, per current remote listings on Migrate Mate as of September 2026. Those sectors rely on distributed data teams that need consistent pipeline oversight and data quality management regardless of where team members are located.
See All 54 Remote Data Operations Manager Jobs
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