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Data Operations Director Jobs in New York (NOW HIRING)

Highmark Health

Director Data Operations

New York, NY · On-site

This flow of data is essential to optimizing core health plan operations, including case management ... Plan, organize, staff, direct and control the day-to-day operations of the department; develop and ...

Omnicom

Director, Data Operations

New York, NY · On-site

Media Operations The Data Operations team is pivotal in the delivery of modern agency services. We ... days are directed by their agency or manager. Our objective is to increase this requirement ...

Omnicom

Director, Data Operations

New York, NY · Hybrid

Media Operations The Data Operations team is pivotal in the delivery of modern agency services. We ... days are directed by their agency or manager. Our objective is to increase this requirement ...

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Data Operations Director information

See New York salary details

$56.9K

$140.6K

$218.8K

How much do data operations director jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data operations director 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 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.

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 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.

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.

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

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

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

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

Data Operations Director jobs near you
Infographic showing various Data Operations Director 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.

Product Director, Platform Data Ops C360

Manhattan, NY • On-site

JPMorganChase
See more jobs at JPMorganChaseexternal

Full-time

Re-posted 4 days ago

Job description

Job Summary:
JPMorgan Chase is one of the oldest financial institutions, and they are seeking a Platform and Data Operations Director. This role involves leading innovation through the development of products and features that enhance client data management and drive business growth, while collaborating across teams to ensure operational excellence.
Responsibilities:
• Develop and execute strategic platform and data operations initiatives for Client360, aligning with organizational objectives.
• Oversee planning, execution, risk management, and delivery of key platform and data operations activities.
• Coach and mentor teams on best practices in platform management, data operations, and stakeholder engagement.
• Own platform and data operations performance, driving enhancements to achieve business outcomes.
• Collaborate with engineering, operations, and business teams to maintain and enhance platform and data processes.
• Define the platform and data operations experience, focusing on process optimization and stakeholder satisfaction.
• Oversee foundational platform and data processes that support Client360.
• Drive continuous improvement by establishing and monitoring key performance indicators.
• Leverage analytics, including machine learning and AI, to derive actionable business insights.
• Understand internal team needs and anticipate future requirements, collaborating across business lines.
• Utilize platform and data operations to deliver personalized client experiences and ensure regulatory compliance.
Qualifications:
Required:
• 8+ years of experience or equivalent expertise delivering products, projects, or technology applications
• Extensive knowledge of platform management, data operations, process improvement, strategic planning, and data analytics.
• Ability to influence adoption of key platform and data operations lifecycle activities.
• Experience driving change and managing stakeholders across multiple functions.
• Proven track record of leading large-scale platform, data integration, and analytics projects.
• Strong understanding of platform integration techniques, data governance, regulatory compliance, and data privacy.
• Customer-centric mindset with the ability to prioritize and deliver stakeholder needs.
• Experience leading cross-functional teams and managing stakeholders to drive innovation.
• Excellent problem-solving skills and strategic thinking about platform and data operations.
• Strong communication and interpersonal skills for presenting complex concepts to diverse audiences.
• Familiarity with emerging technologies and best practices in platform management, data operations, and CRM.
Preferred:
• Experience working in a highly matrixed, complex organization.
• Extensive experience in platform management, data operations, or CRM systems within a financial institution.
• Advanced degree in Computer Science, Data Science, Business, or a related field.
• Demonstrated ability to engage customers and stakeholders positively in platform and data operations.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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