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Manager Data Operations Lead Jobs (NOW HIRING)

talentpluto

Data & Product Operations Lead

New York, NY · On-site

$200K/yr

The Opportunity Our partner is hiring a Data & Product Operations Lead to own the execution of ... The team is looking for operators who can manage projects, solve operational problems, work with ...

Apple

Senior Manager - AI Data Operations

Austin, TX · On-site

... Manager of AI Data Operations who is passionate about delivering production-grade machine learning ... You will lead an organization of internal domain experts, building scalable annotation programs ...

Transunion

Senior Data Operations Analyst

Crum Lynne, PA

$82.10K - $103.60K/yr

Manage data applications across multiple platforms * Monitor day-to-day data operations and operational processes * Configure and maintain data flows, application jobs, and scheduled processes

Apple

Senior Manager - AI Data Operations

Austin, TX

... Manager of AI Data Operations who is passionate about delivering production-grade machine learning ... Description You will lead an organization of internal domain experts, building scalable annotation ...

TransUnion

Senior Data Operations Analyst

Reston, VA

$89.50K - $112.90K/yr

Manage data applications across multiple platforms * Monitor day-to-day data operations and operational processes * Configure and maintain data flows, application jobs, and scheduled processes

Transunion

Senior Data Operations Analyst

Boca Raton, FL

$81.60K - $103K/yr

Manage data applications across multiple platforms * Monitor day-to-day data operations and operational processes * Configure and maintain data flows, application jobs, and scheduled processes

Transunion

Senior Data Operations Analyst

Chicago, IL

$88.60K - $111.80K/yr

Manage data applications across multiple platforms * Monitor day-to-day data operations and operational processes * Configure and maintain data flows, application jobs, and scheduled processes

Cartesia

Human Data Operations Manager

San Francisco, CA · On-site

$160K - $190K/yr

The Role We are looking for a Human Data Operations Manager to design, scale, and operate Cartesia's global scaled evaluation workforce. This role sits at the intersection of product operations, data ...

Trans Union LLC

Senior Data Operations Analyst

Reston, VA

$89.50K - $112.90K/yr

Manage data applications across multiple platforms * Monitor day-to-day data operations and operational processes * Configure and maintain data flows, application jobs, and scheduled processes

TransUnion

Senior Data Operations Analyst

Crum Lynne, PA · On-site

$82.10K - $103.60K/yr

Manage data applications across multiple platforms * Monitor day-to-day data operations and operational processes * Configure and maintain data flows, application jobs, and scheduled processes

Fred Hutch

Data Operations Manager III

Seattle, WA · On-site

$97.82K - $146.68K/yr

The Data Operations Manager III for the Immunotherapy Integrated Research Center (IIRC) manages a team of data coordinators who are dedicated to the collection, processing, and quality control of ...

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Manager Data Operations Lead information

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$31K

$97.1K

$172K

How much do manager data operations lead jobs pay per year?

As of May 30, 2026, the average yearly pay for manager data operations lead 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 key skills and qualifications needed to thrive as a Manager Data Operations Lead, and why are they important?

To thrive as a Manager Data Operations Lead, you need a solid background in data management, analytics, and process optimization, typically with a degree in computer science, information systems, or a related field. Experience with data warehousing tools, ETL systems, SQL, and platforms like Snowflake or AWS, along with certifications such as PMP or Six Sigma, is highly valuable. Strong leadership, communication, and problem-solving skills enable you to coordinate teams, manage stakeholders, and drive continuous improvement. These skills are crucial for ensuring data quality, operational efficiency, and the strategic alignment of data initiatives within an organization.

How does a Manager Data Operations Lead collaborate with cross-functional teams to ensure data quality and consistency?

A Manager Data Operations Lead frequently works with teams such as engineering, analytics, and business stakeholders to align data processes and standards. They facilitate communication between departments to clarify data requirements, resolve discrepancies, and implement best practices for data governance. Regular meetings and progress check-ins are typical, helping to quickly address issues and maintain high data quality across all business units. Effective collaboration ensures that data remains a reliable resource for decision-making and strategic initiatives.

What does a Manager Data Operations Lead do?

A Manager Data Operations Lead oversees the daily operations related to data management within an organization. This role is responsible for ensuring data integrity, optimizing data workflows, and leading a team of data professionals. Key responsibilities include implementing data governance policies, coordinating with IT and business units, and ensuring compliance with data security standards. The role requires strong leadership, technical expertise, and excellent problem-solving skills.

What is the difference between Manager Data Operations Lead vs Data Analyst?

AspectManager Data Operations LeadData Analyst
Required CredentialsBachelor's degree in Data Science, Business, or related field; experience in data managementBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentLeads data teams, manages data operations, collaborates with multiple departmentsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in corporate, tech, finance sectors for managing data teamsCommon across industries for data insights and reporting
Search & Comparison IntentOften compared for leadership roles in data managementCompared for technical data analysis skills

The Manager Data Operations Lead focuses on overseeing data management teams and ensuring data quality across organizations, while Data Analysts primarily analyze data sets to generate insights. Both roles require strong data skills, but the manager role emphasizes leadership and operational oversight.

More about Manager Data Operations Lead jobs
What cities are hiring for Manager Data Operations Lead jobs? Cities with the most Manager Data Operations Lead job openings:
What are the most commonly searched types of Data Operations Lead jobs? The most popular types of Data Operations Lead jobs are:
What states have the most Manager Data Operations Lead jobs? States with the most job openings for Manager Data Operations Lead jobs include:
What job categories do people searching Manager Data Operations Lead jobs look for? The top searched job categories for Manager Data Operations Lead jobs are:
Manager Data Operations Lead jobs near you
Infographic showing various Manager Data Operations Lead job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Data & Product Operations Lead

talentpluto

New York, NY • On-site

$200K/yr

Full-time

Posted 12 days ago

Job description

Location: New York, NY or San Francisco, CA
Work model: Onsite, 5 days per week
Industry: AI Data / Voice AI / Machine Learning Infrastructure
Compensation: Competitive base salary up to $200,000 + equity, depending on experience

About the Company

Our partner is a fast-growing AI data company building high-quality audio and voice datasets for leading AI research labs and technology companies. The team operates with a research- and product-led approach, creating reusable datasets that can be owned, improved, and iterated on over time, rather than only delivering one-off custom data projects. Their work helps AI teams train stronger models by improving the quality, structure, and usability of voice and audio data.

The Opportunity

Our partner is hiring a Data & Product Operations Lead to own the execution of complex data projects from start to finish. This person will sit at the center of operations, product, research, engineering, QA, and deployment teams, ensuring that datasets are delivered on time, meet a high quality bar, and are useful for machine learning model training.

This is a highly cross-functional role for a strong generalist who enjoys ambiguity, ownership, and fast-paced execution. The team is looking for operators who can manage projects, solve operational problems, work with technical teams, and help shape how high-quality data products are built at scale.

Responsibilities
  • Own end-to-end execution of voice and audio data projects, from project kickoff through delivery
  • Work cross-functionally with product, research, engineering, QA, and deployment teams
  • Manage workflows across internal teams, speakers, reviewers, and quality assurance processes
  • Ensure data projects meet required quality standards and delivery milestones
  • Identify process gaps, operational bottlenecks, and opportunities for automation
  • Partner with engineering and platform teams to troubleshoot bugs, improve tooling, and streamline workflows
  • Help define project requirements and translate business or research goals into operational plans
  • Maintain a high bar for data quality, usability, and consistency
  • Support multiple projects or workstreams as company priorities evolve
Requirements
  • 2+ years of experience in consulting, strategy & operations, business operations, investment banking, private equity, marketplace operations, startup operations, or another high-intensity operating environment
  • Strong project management skills with the ability to drive complex workstreams across multiple stakeholders
  • Comfort working in ambiguous, fast-changing environments
  • Strong analytical and problem-solving skills
  • Ability to work closely with technical, product, and research teams
  • Excellent communication skills and strong attention to detail
  • High ownership mentality and willingness to operate across both strategic and execution-focused work
  • Interest in AI, data quality, voice/audio technology, or machine learning infrastructure
  • Prior experience in a startup, marketplace, consulting, finance, or operationally complex business is a plus