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Data Operations Jobs in New York (NOW HIRING)

Omnicom

Manager, Data Operations

New York, NY · Hybrid

Data Engineering The Data Operations team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment teams to deliver on and exceed our clients ...

Perkins Eastman

Data Operations Specialist

New York, NY · On-site

We are seeking a Data Operations Specialist to join our team and support the management, organization, and integration of data across the firm. Reporting to the Head of the Design Intelligence Group ...

TGI MAIN COMPANY

Data Operations Specialist

Brooklyn, NY · On-site

$110K - $125K/yr

Job Title: Data Operations Leader Reports to: CFO The TGI Story A second-generation family-owned business for over 62 years, TGI Office Automation is a comprehensive office technology provider ...

Cooley LLP

BIC Data Operations Specialist

New York, NY · On-site

$82K - $120K/yr

BIC Data Operations Specialist Position summary: Under the supervision of the Director, BIC Operations & Projects, the BIC Data Operations Specialist supports BIC's growing need for repeatable data ...

KBRA

Data Steward - Data Operations (NY)

New York, NY · On-site

$75K - $90K/yr

Data Steward - Data Operations (NY) Entity: KBRA Holdings, LLC Employment Type: Full-Time Location: New York, NY Summary/Overview KBRA Data Management is part of the Technology department and works ...

KBRA

Data Steward - Data Operations (NY)

New York, NY · Hybrid

$75K - $90K/yr

Data Steward - Data Operations (NY) Entity: KBRA Holdings, LLC Employment Type: Full-Time Location: New York, NY Summary/Overview KBRA Data Management is part of the Technology department and works ...

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All JobsData Operations JobsData Operations Jobs in New York

Data Operations information

See New York salary details

$56.9K

$140.6K

$218.8K

How much do data operations jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data operations in New York is $140,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $178,900.00 per year, depending on experience, location, and employer.

What is a data operations?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What types of teams and departments does data operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

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

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What are the most commonly searched types of Data Operations jobs in New York?

The most popular types of Data Operations jobs in New York are:

What are popular job titles related to Data Operations jobs in New York?

For Data Operations jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Operations jobs in New York look for?

The top searched job categories for Data Operations jobs in New York are:

What cities in New York are hiring for Data Operations jobs?

Cities in New York with the most Data Operations job openings:

Data Operations jobs near you
Infographic showing various Data Operations job openings in New York as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $140,611 per year, or $67.6 per hour.

General Manager, Data Operations

David AI

Manhattan, NY • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
David AI is a company focused on transforming raw audio into high-quality training datasets for AI labs. As the General Manager of Data Operations, you will lead the team responsible for building and scaling data pipelines, ensuring reliable and efficient data production.
Responsibilities:
• Build and lead a team of Data Product Operations Leads, to spin up and scale data pipelines, from early experiments to production systems that generate high-quality audio data at scale.
• Act as a thought partner to executive leadership on how we can evolve and scale delivery capabilities in service of customer needs.
• Continuously monitor and improve pipeline health, spotting issues in sourcing, quality, or process early and owning solutions end-to-end.
• Use metrics to drive decisions, tracking throughput, quality, and cost to guide prioritization and identify where to scale or invest next.
• Work with researchers at leading AI labs to identify new model capabilities and turn them into concrete data workflows and project plans.
• Partner with our internal research team to design and test new data shapes that unlock frontier model capabilities.
• Own outcomes across functions, designing systems, managing execution, unblocking bottlenecks, and ensuring delivery at both prototype and production scale.
Qualifications:
Required:
• 5–10 years of experience in high-ownership roles (e.g., founder, GM, COO, or strategy/ops at a venture-backed startup).
• Prior experience scaling large-scale operational efforts at high-growth startups or fast-paced companies.
• Technical fluency with data and operations; SQL proficiency required.
• Prior experience designing and scaling systems, processes, and teams across different customer segments and product lines.
• A relentless operator with high standards, bias to action, and strong attention to detail.
• Comfortable with ambiguity and rapid pace; thrives in a 'build while flying' environment.
• Low-ego, collaborative, and mission-driven, focused on team and company success.
Preferred:
• Experience in data, ML, or large-scale operations.
• Background in CS, industrial engineering, or similar.
Company:
David AI supplies audio datasets and associated services for speech, multilingual, and conversational AI applications. Founded in 2024, 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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