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 19% of openings remote or hybrid, and employers like Amazon, Harvey, and Digital Realty hiring at this level now.
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At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
Job Description
Responsible for working on big data/analytics projects that gather and integrate large volumes of data, performs analysis, interprets results and develops actionable insights and recommendations for use across the company. Acquires data from multiple data sources in order to perform analysis. Identifies, analyzes and interprets trends or patterns in complex data in order to provide answers to business questions as well as provide recommendations for action. Interprets data and analyze results using various statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they activate upon them and make data driven decisions. Collaborate with various partners to provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.
BASIC QUALIFICATIONS
- Bachelor's degree in a related field, or equivalent work experience
- Four to five years of statistical and/or data analytics experience
PREFERRED SKILLS/EXPERIENCE
- Experience in analytics, advanced analytics/statistics, predictive modeling
- Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
- Demonstrated project management skills
- Effective interpersonal, verbal and written communication skills
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Review our full benefits available by employment status here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $92,820.00 - $109,200.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.
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Who's Hiring



Top Industries Hiring
- Technology & Software29
- Retail7
- E-Commerce & Online Marketplaces7
- Consulting & Professional Services4
- Construction & Real Estate3
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, Harvey, and Digital Realty, based on current listings on Migrate Mate as of August 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 19% of mid level data operations manager openings are remote or hybrid as of August 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 August 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.