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Data Operations Manager Jobs (NOW HIRING)

Data Operations Associate The main responsibilities of the Data Operations Associate is to provide ... management skills. Immediate availability also a requirement for this position. * Review and ...

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

Role: Specter is hiring a data operations engineer to build our research data operation. This ... Strong written and verbal communication skills, with experience managing external vendors or cross ...

We are looking for a Data Operations Lead to ensure the reliability, scalability, and operational ... Incident Management: Lead and drive incident response and management for platform-related ...

Experience managing large-scale business operations, process improvement initiatives, and performance benchmarking programs Hard Skills * Data Analytics * Business Intelligence * Performance ...

Data Operations Engineer

Austin, TX · On-site

$68K - $93K/yr

... manage data analytics foundations. The ideal candidate is a self-motivated teammate with good ... operational decisions. o KEY RESPONSIBILITIES  Lead day-to-day operations to ensure ...

Data Operations Engineer

Greenville, SC · On-site

$107K - $129K/yr

This position reports to the Manager of Data Operations and is responsible for ensuring the reliability, scalability, and performance of our data pipelines and platforms. You'll work closely with ...

... managing project-based responsibilities - Prior experience through internships, projects, research, startups, consulting, finance, software, data, or operations is helpful but not required WHY APPLY ...

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Data Operations Manager information

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$31K

$97.1K

$172K

How much do data operations manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data operations manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a data operations manager?

A Data Operations Manager’s daily responsibilities often include overseeing the flow of data across systems, ensuring high data quality and security, and coordinating the activities of data analysts and engineers. They are responsible for developing and optimizing data processes, monitoring system performance, troubleshooting operational issues, and implementing data governance policies. Collaboration is key, as they frequently work with IT teams, business analysts, and stakeholders to ensure data needs and compliance standards are met. This role requires balancing strategic planning with hands-on management of day-to-day data operations.

What are the key skills and qualifications needed to thrive in the data operations manager position, and why are they important?

To thrive as a Data Operations Manager, you need expertise in data management, analytics, workflow optimization, and a strong background in data governance, commonly backed by a degree in computer science or a related field. Proficiency with data warehousing solutions, ETL tools, SQL, and platforms like Tableau or Power BI, along with familiarity with industry certifications such as CDMP or PMP, is highly valuable. Strong leadership, problem-solving, and organizational skills enable effective collaboration with cross-functional teams and the ability to manage complex data projects. These skills and attributes are crucial for ensuring data quality, streamlining operations, and supporting business decision-making through accurate and timely data management.

Is data operations manager a high paying job?

Data Operations Managers typically earn above-average salaries compared to many other roles in data management and operations. Compensation varies based on experience, industry, and location, but it generally includes a competitive base salary and benefits. Advanced skills in data systems, analytics tools, and leadership can further increase earning potential.

What is a data operations manager?

A Data Operations Manager oversees the processes and systems that manage an organization's data to ensure accuracy, efficiency, and accessibility. They collaborate with data engineers, analysts, and IT teams to improve data workflows, maintain data integrity, and optimize data governance. Their responsibilities often include automating data processes, troubleshooting issues, and ensuring compliance with data policies. This role is critical for organizations that rely on data-driven decision-making and operational efficiency.

More about Data Operations Manager jobs
What cities are hiring for Data Operations Manager jobs? Cities with the most Data Operations Manager job openings:
What are the most commonly searched types of Data Operations jobs? The most popular types of Data Operations jobs are:
Who are the top companies hiring for Data Operations Manager jobs? The top employers for Data Operations Manager jobs are:
What states have the most Data Operations Manager jobs? States with the most job openings for Data Operations Manager jobs include:
Infographic showing various Data Operations Manager job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Manager, Data Operations

Strata Decision Technology

Chicago, IL • On-site

$150K - $168K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 10 days ago


Job description

How you'll make an impact:
As the Manager of Data Operations, you will lead a team responsible for the reliability, performance, and security of a mission-critical data platform spanning SQL Server, Azure SQL Database, Snowflake, and Microsoft Fabric.
This is a hands-on leadership role. You will balance people management with deep technical engagement-guiding the team while also stepping in to solve complex performance issues, drive platform improvements, and ensure operational excellence across the environment.
You'll partner closely with engineering, analytics, and platform teams to ensure our data systems are scalable, cost-efficient, and ready to support advanced analytics and AI-driven workloads.
Lead and Grow the Team
  • Manage, mentor, and develop a team of data engineers and DBAs
  • Set clear priorities and uphold high operational standards
  • Coach on performance tuning, troubleshooting, and best practices
  • Partner on hiring, workforce planning, and team development

Own Platform Reliability and Security
  • Ensure availability, performance, and security across all platforms
  • Lead incident response and improve operational readiness
  • Strengthen monitoring, alerting, and runbooks to reduce noise and speed response
  • Support backup, recovery, and disaster recovery strategies

Stay Hands-On
  • Troubleshoot complex performance issues across CPU, memory, IO, and concurrency
  • Optimize queries, indexing, and execution plans at scale
  • Guide database design and performance with engineering teams
  • Serve as an escalation point for critical production issues

Drive Improvement and Modernization
  • Identify opportunities to improve scalability, efficiency, and cost
  • Support adoption of Snowflake, Microsoft Fabric, and modern data tools
  • Partner to enable analytics, ML, and AI workloads
  • Promote automation and standardization

What we're looking for:
  • Strong SQL Server performance tuning experience in production environments, including execution plans, indexing, locking/blocking, and wait analysis
  • Experience with Azure SQL and hybrid data platforms; familiarity with Snowflake and/or Microsoft Fabric is a plus
  • Proficiency in SQL and scripting languages such as PowerShell or Python
  • Experience with monitoring and observability tools like Query Store, Azure Monitor, or Datadog
  • A solid understanding of how infrastructure decisions impact database performance, scalability, and cost
  • Experience supporting analytics, reporting, or AI-driven data platforms
  • Proven ability to lead technical teams while remaining hands-on when needed
  • Strong decision-making skills, accountability, and a track record of improving operational practices
  • Excellent collaboration and communication skills, especially during incidents, cross-functional initiatives, and technical decision-making discussions

What Success Looks Like:
  • A secure, high-performing, well-monitored data platform
  • A team with clear ownership and reduced operational noise
  • Effective incident response with continuous improvement
  • Ongoing platform enhancements-not just maintenance
  • A data environment ready to scale with analytics and AI needs

Estimated Salary Range: $150,000-168,000Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.
Find out more about Strata benefits here.
How we work:Our preferred location for open roles is Chicago, IL. We value in-person connection and regularly host on-campus events to create meaningful opportunities for our team to build relationships and collaborate
Thinking about applying?
Research shows that women and underrepresented groups tend to apply to jobs only when they check every box on a job posting. If you're currently reading this and hesitating to click "Apply" for that reason, we encourage you to go for it! A true passion and excitement for making an impact is just as important as work experience.
Should you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please reach out to careers@stratadecision.com.
Here @ Strata...
Our culture is driven by our people solving problems together. We embrace learning, collaboration, and continuous career growth. Together, we lift our customers, our products, our company, and our community.
We believe that each of our team member's unique perspectives and experiences is what drives innovation and positive change. Our individual differences are what make us a more forward-thinking organization. We foster a culture of inclusion, equity and belonging, regardless of race, religion, disability, sex, sexual orientation, gender identity or national origin.
Our Core Values:While we celebrate what makes each member of our team unique, our core values are what connect us. They set clear expectations for how we approach our work and how each of us can positively influence the experience of our team and our customers.
  • We connect with positive intent.
  • We are helpful.
  • We own it.
  • We get better every day.
  • We are humble.