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Remote Data Manager Jobs in New York (NOW HIRING)

Data Analytics Manager

New York, NY · Remote

$105K - $135K/yr

We are looking for a highly analytical and technically fluent Data Analytics Manager to scale our partner ecosystem. In this role, you won't just track partner performance--you will build the ...

Director, Clinical Data Management

NY · On-site +1

$220K - $230K/yr

Study-Level Data Management * Serve as the primary data management lead for assigned clinical trials, ensuring timely, high-quality data deliverables throughout the data lifecycle. * Develop and ...

The Data Guru team serves as trusted advisors to brands, agencies, and technology partners, helping ... This position is not located in the aforementioned locations but applications for remote work may ...

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Rahway, NJ ( Remote ) Employment Type: Full-Time Visa Type: USC / GC Only Experience: 6+ Years Top ... Data Management & Validation * MS Excel * Stakeholder & SME Coordination * Regulatory Data ...

Senior Data Analyst

New York, NY · On-site +1

$94K - $118K/yr

Job Responsibilities - Responsible for the design and build of a holistic data management framework ... fully remote. * Communal transport facilities inside Dhaka and free catered lunch when we return.

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced ... Experience with legal document review, litigation support, or managed legal services. * Familiarity ...

Showing results 41-60

Remote Data Manager information

See New York salary details

$29.8K

$113.9K

$200.2K

How much do remote data manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote data manager in New York is $113,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,400.00 and $146,800.00 per year, depending on experience, location, and employer.

What is a remote data manager?

A Remote Data Manager is a professional responsible for overseeing the collection, storage, organization, and analysis of data for an organization, while working from a location outside of a traditional office. They ensure data integrity, security, and compliance with relevant regulations. Their duties often include managing databases, setting data policies, and collaborating with teams to support data-driven decision making. Remote Data Managers use various digital tools to communicate and manage data remotely, making this role ideal for those seeking flexible work arrangements.

What are the key skills and qualifications needed to thrive as a remote data manager?

To thrive as a Remote Data Manager, you need a solid background in data management, database administration, and data analysis, typically supported by a degree in computer science or a related field. Expertise in tools such as SQL, data visualization platforms (e.g., Tableau or Power BI), and familiarity with data privacy regulations are commonly required, along with relevant certifications like CDMP or PMP. Strong organizational skills, attention to detail, and effective remote communication abilities set outstanding candidates apart. These skills ensure data integrity, facilitate collaboration across distributed teams, and drive data-driven decision-making within organizations.

What are some typical challenges faced by remote data managers when coordinating with cross-functional teams?

Remote Data Managers often need to collaborate with teams across different departments and time zones, which can make communication and project alignment challenging. They may face difficulties in ensuring data consistency, timely updates, and maintaining data security standards when team members are dispersed. Effective use of collaboration tools, clear documentation, and regular virtual meetings are essential to overcome these challenges and ensure smooth operations.

What is the difference between Remote Data Manager vs Data Analyst?

AspectRemote Data ManagerData Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; experience with database managementBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization tools
Work EnvironmentRemote, often within IT or data teamsRemote or on-site, within business or research teams
Employer & Industry UsageTech companies, healthcare, finance, where data management is criticalMarketing, finance, consulting, analyzing data trends

Remote Data Managers focus on maintaining and organizing data systems, ensuring data integrity, and managing databases remotely. Data Analysts interpret data, generate reports, and provide insights. While both roles work with data, the Remote Data Manager handles data infrastructure, whereas Data Analysts focus on analyzing data to support decision-making.

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

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

What cities in New York are hiring for Remote Data Manager jobs?

Cities in New York with the most Remote Data Manager job openings:

Infographic showing various Remote Data Manager job openings in New York as of August 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 100% Remote job distribution, with an average salary of $113,920 per year, or $54.8 per hour.

Curriculum Manager - Data Science and AI

DataCamp

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision

Re-posted 12 days ago


Job description

About DataCamp

Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors.

In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum—helping millions worldwide upskill in data and AI.

About the role

This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here's what your day-to-day will look like: 

  • Manage the entire content development lifecycle and deadlines.
  • Source and recruit top-tier subject-matter experts as instructors. 
  • Collaborate with instructors to create engaging content. 
  • Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production. 
  • Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
  • Continuously assess course performance using learner feedback and engagement data to drive improvements.
  • Identify and prioritize existing curriculum gaps or new topics in data science and data engineering.

Qualifications:

  • A solid technical background in Python and SQL. A technical background in data engineering is a plus. 
  • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences.
  • Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development.
  • Strong experience with agentic AI systems such as Claude Code, Cursor, Replit. You can demonstrate you've increased your output 10x with AI.

Bonus if you have the following

  • A deep understanding of the DataCamp course format—you have an intuitive understanding of what makes a great DataCamp course.
  • An existing network of potential subject matter experts who can become DataCamp instructors.
  • An extensive track record of building sophisticated AI systems and workflows.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:

  • Exciting Challenges – Tackle some of the most important educational challenges in Data & AI.
  • Work with the Best Instructors – Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more.
  • Competitive Compensation – We offer a competitive salary with attractive benefits.
  • Work Flexibility – Benefit from flexible working hours and a remote-friendly culture.
  • Professional Growth – Access to a yearly learning & development budget.
  • Global Culture – Join a team that values international collaboration.
  • Annual Retreats – Participate in international company retreats, fostering a global team spirit.
  • Tools & Setup – Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.