Data Operations Manager Jobs
Data Operations Manager jobs are open across healthcare, fintech, logistics, and retail, from mid-level analyst leads to senior director, with specializations in pipeline management, data quality, and business intelligence operations. Find a role that fits from the openings below and apply directly.
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Role: Data center Field Operations Technician
Location: Albany, OH (Onsite)
Experience
2-5 years of experience in data center cabling, network hardware installation, or telecommunications
Hands-on experience with fiber optic installation and testing in enterprise/hyperscale environments
Experience with large-scale rack deployment projects (50+ racks)
Familiarity with data center environments (hot/cold aisle, raised floor, overhead cable tray)
Experience Working With Liquid-cooled Rack Systems (AALC) Preferred
Experience with barcode scanning and asset management workflows preferred
Role: Data center Field Operations Technician
Location: Albany, OH (Onsite)
Experience
2-5 years of experience in data center cabling, network hardware installation, or telecommunications
Hands-on experience with fiber optic installation and testing in enterprise/hyperscale environments
Experience with large-scale rack deployment projects (50+ racks)
Familiarity with data center environments (hot/cold aisle, raised floor, overhead cable tray)
Experience Working With Liquid-cooled Rack Systems (AALC) Preferred
Experience with barcode scanning and asset management workflows preferred
Data Operations Manager Jobs by Experience Level
Top Cities Hiring Data Operations Managers
Explore data operations manager openings in the cities hiring most right now.
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Find Data Operations Manager JobsData Operations Manager Job Market
Who's Hiring
- Amazon98
- Google46
- Meta28
- CVS Health26
- Oracle22
Top Industries Hiring
- Technology & Software23
- Insurance11
- Construction & Real Estate7
- Manufacturing6
- Food & Beverage4
What Employers Look For
The qualifications that appear most often in 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 Data Operations Manager Job Search
Quantify pipeline and quality outcomes
Your resume needs to show scale and results, not just responsibilities. Replace 'managed data pipelines' with the volume of records processed, error rates reduced, or SLA improvements you delivered. Hiring managers for this role scan for operational impact first.
Highlight your toolstack by stack tier
Group your tools by layer: ingestion, transformation, orchestration, and monitoring. Listing dbt, Airflow, or Fivetran alongside SQL and Python tells a technical hiring manager exactly where you sit in the data stack and which team you'll work closest with.
Target openings by data maturity stage
A data operations manager role at a Series B startup means building from scratch. The same title at a Fortune 500 means governance and scale. Filter openings by company size and funding stage so your experience actually matches what the team needs.
Apply early to roles that fit
Migrate Mate lists data operations manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare for a technical operations case interview
Many hiring processes for this role include a scenario where you diagnose a broken pipeline, a data quality incident, or a team workflow bottleneck. Practice walking through root cause analysis out loud, not just identifying the problem but prioritizing the fix under a time constraint.
Negotiate with incident and uptime data
When you reach the offer stage, ground your compensation ask in operational outcomes you've owned. Reduced downtime, improved data freshness, or faster mean-time-to-resolution on incidents are measurable contributions that support a stronger number than seniority alone.
Data Operations Manager Jobs: Frequently Asked Questions
Which companies are hiring the most data operations managers?
The companies hiring the most data operations managers right now include Amazon, Google, and Meta, with the largest share of openings in Texas, California, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is especially strong in healthcare systems, fintech platforms, and large-scale logistics companies that rely on high-volume, time-sensitive data operations.
How many data operations manager jobs are remote?
About 46% of data operations manager openings are fully remote or hybrid as of November 2026, reflecting strong employer flexibility for this role. Sub-areas with the highest remote share include data quality oversight, pipeline monitoring, and analytics engineering coordination, where day-to-day work is tool-driven rather than on-site dependent.
How do you become a data operations manager?
Most data operations managers move up from individual contributor roles in data engineering, analytics, or business intelligence. Build depth in pipeline tooling and data quality practices first, then take on cross-functional projects that require coordinating between engineering and analytics teams. Demonstrating ownership over reliability metrics and team workflows is what typically triggers a promotion or lateral move into management.
Can you get a data operations manager job with limited experience?
Getting hired with limited experience is possible if you can show ownership over a specific operational outcome, even in a smaller scope. Build a portfolio project that demonstrates end-to-end pipeline management, including monitoring and incident response. Roles at early-stage companies or those titled 'lead' or 'associate manager' are more likely to consider candidates transitioning from senior individual contributor positions.
What does the data operations manager interview process look like?
The process typically runs three to four stages. An initial recruiter screen is followed by a hiring manager conversation focused on your operational experience and team leadership style. A technical or case round then tests your ability to diagnose pipeline issues or prioritize data quality incidents. Final rounds usually involve a panel with cross-functional partners such as engineering leads or analytics directors.
Where can I find and apply to data operations manager jobs?
You can find and apply to data operations manager jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience, specialization, and preferred location, then apply directly to each listing from the results on this page.
See All 786+ Data Operations Manager Jobs
Find roles that match your experience and apply in just a few clicks.
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