Mid Level Data Operations Manager Jobs
Mid level data operations manager jobs go to professionals ready to own end-to-end data workflows, drive process decisions with limited oversight, and mentor junior team members across complex operational environments. Hiring is concentrated in Technology & Software, Retail, and E-Commerce & Online Marketplaces, with 25% of openings remote or hybrid, and employers like Amazon, Google, and Paylocity hiring at this level now.
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- Bachelor’s Degree from a recognized college or university in Business Administration, Business Management, or business-related field Required
- Master’s Degree in Business Administration, Hospital Administration, Accounting, Finance or a closely related field is Preferred
- 5 years of progressive work experience in a Finance role, preferably in a multi-entity healthcare provider environment Required
- None Required
- Certified Public Accountant (CPA) Preferred
- Bachelor’s Degree from a recognized college or university in Business Administration, Business Management, or business-related field Required
- Master’s Degree in Business Administration, Hospital Administration, Accounting, Finance or a closely related field is Preferred
- 5 years of progressive work experience in a Finance role, preferably in a multi-entity healthcare provider environment Required
- None Required
- Certified Public Accountant (CPA) Preferred
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Find JobsMid Level Data Operations Manager Job Market
Who's Hiring
- Amazon46
- Google10
- Paylocity6
- TE Connectivity6
- The Home Depot5
Top Industries Hiring
- Technology & Software122
- Retail69
- E-Commerce & Online Marketplaces48
- Healthcare & Medical Services40
- Electronics & Hardware20
Mid Level Data Operations Manager Jobs: Frequently Asked Questions
How do I get a mid level data operations manager job?
Lead with ownership. Hiring managers at this level want to see that you have run data pipelines, processes, or reporting systems end to end, not just supported someone else doing it. Highlight projects where you identified a problem, designed a solution, and delivered measurable results. Tailor your resume to show increasing scope across each role, and be specific about the tools, systems, and cross-functional teams you worked with directly.
Which companies hire mid level data operations managers?
Companies hiring mid level data operations managers right now include Amazon, Google, and Paylocity, based on current listings on Migrate Mate as of July 2026. Hiring at this level is common across organizations that rely on scaled data infrastructure, including large enterprises building out centralized data functions and growth-stage companies maturing their analytics and operations capabilities.
Are there remote mid level data operations manager jobs?
Yes, with strong availability. About 25% of mid level data operations manager openings are remote or hybrid as of July 2026, reflecting how many data operations functions have shifted to distributed team structures. Remote roles at this level typically still require close collaboration with engineering, analytics, and business stakeholders, so strong async communication and documentation skills carry real weight in applications.
How do I move up to a mid level data operations manager role?
The move from entry level to mid level is built over time through deepening ownership and demonstrable impact. Focus on taking full accountability for a process or system rather than executing tasks assigned by others. Develop fluency in the tools your team depends on, contribute to process improvements with measurable outcomes, and seek opportunities to coordinate across teams. Consistent delivery at increasing scope is what hiring managers look for when evaluating mid level candidates.
Which industries hire the most mid level data operations managers?
Mid Level data operations manager roles concentrate in Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of July 2026. These sectors drive demand because they operate at high data volume and require dedicated professionals who can maintain data quality, streamline operational workflows, and translate data outputs into decisions that affect business performance at scale.