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Manager Data Operations Lead Jobs (NOW HIRING)

Aon is Hiring a Data Operations Manager - New York, NY - Hybrid! Join the Revenue GPS Team as a ... Skills and experience that will lead to success Required * Demonstrated experience in data ...

PURPOSE OF THE JOB The Data Operations Manager leads the operational management, support ... Ability to lead operational response efforts and coordinate cross-functional issue resolution ...

PURPOSE OF THE JOB The Data Operations Manager leads the operational management, support ... Ability to lead operational response efforts and coordinate cross-functional issue resolution ...

Strategy & Operations Lead Location Onsite: Pittsburgh, PA Salary: $110,000 - $170,000 Company ... Required Qualifications * 6+ years in data analytics, operations, or program management with 2+ ...

Data Operations Manager

Jacksonville, FL · On-site +1

$145K - $165K/yr

Data Operations Manager, Asset Data LOCATION: Jacksonville, NYC, London Preferred or Remote SALARY ... Lead the Team * Own the day-to-day execution of the asset data team and hold the quality bar at ...

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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 Jun 20, 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 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.

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 jobs pay 500,000 a year in the US?

In the US, high-paying roles such as executive positions (CEOs, CFOs), specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Senior-level roles in finance, technology, and law, especially with bonuses and stock options, also reach this income level. These positions typically require extensive experience, advanced skills, and often leadership or specialized certifications.

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 much is the salary of an operations manager?

The salary of a Manager Data Operations Lead varies depending on experience, location, and industry, but typically ranges from $80,000 to $130,000 annually. Factors such as technical skills, certifications, and company size can influence compensation levels.

What does a data operations lead do?

A data operations lead manages the processes and systems involved in collecting, storing, and maintaining data within an organization. They oversee data quality, ensure data governance compliance, and coordinate with teams to optimize data workflows, often using tools like SQL, data pipelines, and analytics platforms.

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.

Is ops manager higher than GM?

A Manager of Data Operations Lead is a specialized managerial role focused on overseeing data processes and teams. Generally, a General Manager (GM) holds a broader executive position with overall responsibility for a business unit or organization, making the GM typically higher in organizational hierarchy than an operations manager. The specific hierarchy can vary by company structure and industry.
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:
Human Data Operations Lead - West Coast

Human Data Operations Lead - West Coast

Apple

Los Angeles, CA

$171K - $302K/yr

Full-time

Medical, Dental, Retirement

Posted 24 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's notelling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day.
Description
Apple’s AI/ML Data Operations group is seeking a Human Data Operations Lead. The candidate will join a team of innovative scientists and engineers to develop a new generation of consumer machine learning features. The role’s primary function is to support the planning, site management, and execution of large-scale human user studies and data collection efforts that train, validate, and evaluate our ML models.","responsibilities":"Assist in the design and execution of human data collection studies to provide reliable, high-quality data for ML model training and prototype evaluation.
Partner with internal and external groups to develop study protocols, operational plans, budgets, and schedules for consumer ML user studies.
Manage the day-to-day execution, facility operations, and logistics of human studies at designated data collection sites.
Serve as a conduit between ML development, data engineering, and on-site execution teams to ensure data collection aligns perfectly with ML quality objectives and use cases.
Collaborate with team members to communicate study progress, participant throughput, results, schedule, and budget to the broader project team.
Monitor the real-time quality, privacy compliance, and completeness of datasets being returned from active user studies.
Train external collaborators, vendors, and on-site staff on exact study procedures, hardware handling, and strict privacy protocols, while continuously monitoring their performance.
Extended domestic travel to vendor and study sites is required.
Preferred Qualifications
10+ years of industry experience in site management, user research operations, or project logistics.
Experience conducting human studies specifically for consumer electronics, software features, or machine learning data collection (e.g., computer vision, audio, or gesture recognition).
Familiarity with handling sensitive human data and navigating strict user privacy and consent protocols.
Detail-oriented and highly organized with a proven track record of managing complex operational logistics.
Excellent communication and interpersonal skills, with the ability to interact comfortably with both everyday study participants and highly technical engineering teams.
Minimum Qualifications
Bachelor's degree in human-Computer Interaction (HCI), Cognitive Science, Psychology, Engineering, Operations, or a related discipline.
Experience conducting, managing, or coordinating human user studies, data collection operations, or behavioral research in an industry or academic setting.
Able to travel extensively within the US to oversee various collection sites.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976