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Data Operations Director Jobs (NOW HIRING)

Sieve

Data Operations Lead

San Francisco, CA · On-site

The Data Operations Lead will manage the execution and scaling of the company's data operations platform, overseeing workforce management, QA processes, and driving growth initiatives.

Workiva, Inc.

Data Operations Lead

We are looking for a Data Operations Lead to ensure the reliability, scalability, and operational ... You will be a key driver of technical strategy and execution without direct people management ...

Kemper

Director, Data Science Operations

Chicago, IL · Remote

$160K - $226K/yr

... Director, Data Science Operations sought by Merastar Insurance Company in Chicago, IL. 40 hrs./wk. Duties include: Analyze, estimate & define data transformation req. to load data into EDW, Snowflake ...

New

Kemper

Director, Data Science Operations

OR · Remote

$160K - $226K/yr

... Director, Data Science Operations sought by Merastar Insurance Company in Chicago, IL. 40 hrs./wk. Duties include: Analyze, estimate & define data transformation req. to load data into EDW, Snowflake ...

New

Vector Solutions

Lead, Data Operations

Tampa, FL · On-site

We are seeking a Lead, Data Operations to enhance and scale data, processes, and technology that power go-to-market performance. This role ensures that sales, marketing, and customer teams have ...

Oracle

Director, Data Center Operations

Harwood, ND · On-site

Performance Monitoring and Analysis: -Sets strategic direction for data center operations performance monitoring, collaborates with executive leadership. -Defines strategic direction for network ...

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Data Operations Director information

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$52K

$128.5K

$200K

How much do data operations director jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data operations director in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Operations Director, and why are they important?

To thrive as a Data Operations Director, you need expertise in data management, analytics, process optimization, and a relevant degree such as in computer science, statistics, or information systems. Familiarity with data warehousing solutions, ETL tools, cloud platforms (like AWS or Azure), and certifications such as Certified Data Management Professional (CDMP) are commonly required. Leadership, strategic thinking, and strong communication skills are essential for driving cross-functional teams and aligning data initiatives with business goals. These capabilities ensure efficient, secure, and high-quality data operations that support informed decision-making and organizational growth.

How does a Data Operations Director typically collaborate with cross-functional teams to ensure data integrity and accessibility?

A Data Operations Director works closely with IT, data engineering, analytics, and business units to establish robust data governance practices and streamline data workflows. They often lead efforts to standardize data definitions, enforce quality controls, and implement access protocols to ensure that stakeholders across the organization can use reliable data for decision-making. Regular meetings, project management tools, and clear communication channels are essential for aligning priorities and resolving data-related issues efficiently. This cross-functional collaboration is key to maintaining high data integrity and fostering a data-driven culture.

What does a Data Operations Director do?

A Data Operations Director is responsible for overseeing the management, organization, and optimization of a company's data-related processes and teams. They ensure data quality, security, and accessibility, while aligning data management with business goals. This role often involves supervising data analysts, engineers, and other professionals, and implementing strategies for data governance and compliance. The Data Operations Director also collaborates with other departments to support data-driven decision making and operational efficiency.

What is the difference between Data Operations Director vs Data Analyst?

AspectData Operations DirectorData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentLeadership role overseeing data teams, strategic planningAnalyzing data sets, generating reports, supporting decision-making
Employer & Industry UsageUsed in organizations with large data operations, tech, finance, healthcareCommon across various industries for data insights and reporting

The Data Operations Director focuses on managing data teams and strategic data initiatives, while the Data Analyst concentrates on analyzing data to generate insights. Both roles require strong data skills, but differ in scope and responsibilities.

More about Data Operations Director jobs
What cities are hiring for Data Operations Director jobs? Cities with the most Data Operations Director 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 Director jobs? The top employers for Data Operations Director jobs are:
What states have the most Data Operations Director jobs? States with the most job openings for Data Operations Director jobs include:
What job categories do people searching Data Operations Director jobs look for? The top searched job categories for Data Operations Director jobs are:
Data Operations Director jobs near you
Infographic showing various Data Operations Director job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.
Data Operations Lead

Data Operations Lead

Sieve

San Francisco, CA • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in the growth of applications powered by high-quality training data. The Data Operations Lead will manage the execution and scaling of the company's data operations platform, overseeing workforce management, QA processes, and driving growth initiatives.
Responsibilities:
• Operate and scale Sieve's internal data ops platform, including workforce management, task assignment, and QA workflows
• Drive platform growth: run acquisition campaigns, test new sourcing channels, and grow the user base through creative and scalable strategies
• Source, onboard, and manage a distributed human workforce for data annotation, curation, and quality review
• Build and improve QA processes to ensure data output meets the standards required by frontier AI labs
• Own product ops for the data platform. Work with engineering to ship tooling improvements, track operational metrics, and identify gaps
• Create documentation, SOPs, and training materials for operational workflows
Qualifications:
Required:
• Mixed technical and non-technical skillset, comfortable with data tooling, light scripting, and spreadsheet-level analysis
• Strong organizational skills and attention to detail; able to manage multiple concurrent work streams
• Growth mindset: experience running or contributing to user acquisition, sourcing campaigns, or platform growth efforts
• Bachelor's degree in CS, STEM, or equivalent practical experience
• In-person at our SF HQ
Preferred:
• Experience managing human-in-the-loop data operations or annotation pipelines
• At least 1 year of engineering experience or strong technical fluency
• Experience as an early hire at a startup or spearheading ops at an AI lab
• Familiarity with data quality frameworks or ML data pipelines
Company:
Sieve supplies video data to frontier AI labs. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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