Data Manager Visa Sponsorship Jobs in New York
Data manager roles in New York draw sponsorship from finance firms along the Wall Street corridor, health systems like NYU Langone and Mount Sinai, and tech employers concentrated in Manhattan and Brooklyn. With the state's density of data-intensive industries, international candidates will find meaningful sponsorship activity across both enterprise and mid-market employers.
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Job Type: Officer of Administration
Regular/Temporary: Regular
Hours Per Week: 35
Salary Range: $71,000 Annual - $82,000 Annual
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Position Summary
The Data Manager (Pragmatic Trials – Data Coordinating Center) supports investigator-initiated, multicenter pragmatic clinical trials. Serving as the lead data management function, this role oversees data collection, quality, and integrity for all participating sites. The Data Manager ensures standardized, efficient, and compliant data workflows using real-world clinical data sources, supporting meaningful outcomes research while minimizing operational burden across sites.
Responsibilities
- Lead centralized data coordination for investigator-initiated, pragmatic, multicenter heart failure clinical trials, overseeing data management for all collaborating sites.
- Design, build, standardize, and maintain REDCap databases across single-center and multicenter studies, ensuring databases are optimized for accurate, efficient, and proportionate data collection aligned with pragmatic trial designs.
- Develop comprehensive data management plans prior to study initiation, including data flow, submission timelines, quality checks, and reporting expectations.
- Create and maintain data dictionaries and variable definitions that prioritize clinically meaningful, feasible, and operationally sustainable endpoints.
- Perform ongoing data quality checks focused on completeness, consistency, and usability rather than exhaustive source verification; generate and manage data queries and coordinate resolution with all participating sites.
- Oversee data collection, submission, cleaning, and migration of datasets into REDCap, and prepare datasets for statistical analysis, reporting, and downstream use.
- Train and support research coordinators and investigators on REDCap build, data entry standards, documentation expectations, and pragmatic data workflows.
- Develop, standardize, and maintain standard operating procedures (SOPs) for data collection, security, governance, and multicenter data coordination.
- Serve as a primary point of contact for site-level data questions, issue resolution, and clarification of data expectations across participating sites.
- Ensure research data management practices comply with institutional policies, IRB requirements, Data Use Agreements, and applicable regulatory standards; contribute content to Data Use Agreements for multicenter collaborations.
- Partner closely with regulatory staff to ensure alignment between study data, IRB approvals, regulatory submissions, and study documentation.
- Generate routine and ad hoc reports to support investigators, research leadership, study operations, and external stakeholders.
- Support data readiness for monitoring visits, audits, internal quality assurance reviews, and regulatory inspections.
- Assist investigators with data extraction and preparation for abstracts, manuscripts, grant reporting, and internal reviews.
- Support ClinicalTrials.gov results reporting, as applicable, in collaboration with regulatory staff and investigators.
- Contribute to the development of standardized data management templates, tools, and best practices to strengthen research infrastructure.
- Attend research operations meetings to support proactive data planning, coordination, and program development.
- Demonstrates knowledge of GCP/ICH regulations and 21 CFR Part 11.
- Perform other job-related duties as assigned.
Minimum Qualifications
Bachelor’s degree required in health sciences, public health, biology, data science, informatics, or a related field plus 4 years of related clinical research experience or equivalent combination of education and experience.
Strong computer proficiency, including routine use of web-based systems, databases, and Microsoft Office applications (Excel, Word, Teams/SharePoint or similar).
Effective written and verbal communication skills, with the ability to work collaboratively with investigators, coordinators, and regulatory staff.
Strong organizational skills and attention to detail, with the ability to manage multiple studies or data streams simultaneously and meet deadlines.
Preferred Qualifications
- Demonstrated experience with clinical research data management, including electronic data capture systems (e.g., REDCap or similar platforms).
- Ability to manage data tasks independently, including database maintenance, routine data quality checks, query resolution, and report generation.
- Working knowledge of clinical research regulations and standards, including IRB requirements, human subjects protections, and data privacy/security principles (e.g., HIPAA).
- Experience using programming or query languages for data cleaning, derivation, and dataset preparation (e.g., R, SAS, SQL, Python).
- Familiarity with clinical and research data standards such as CDASH, SDTM, ADaM, and OMOP CDM.
Other Requirements
Must successfully complete applicable compliance and systems training requirements.
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.

Job Type: Officer of Administration
Regular/Temporary: Regular
Hours Per Week: 35
Salary Range: $71,000 Annual - $82,000 Annual
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Position Summary
The Data Manager (Pragmatic Trials – Data Coordinating Center) supports investigator-initiated, multicenter pragmatic clinical trials. Serving as the lead data management function, this role oversees data collection, quality, and integrity for all participating sites. The Data Manager ensures standardized, efficient, and compliant data workflows using real-world clinical data sources, supporting meaningful outcomes research while minimizing operational burden across sites.
Responsibilities
- Lead centralized data coordination for investigator-initiated, pragmatic, multicenter heart failure clinical trials, overseeing data management for all collaborating sites.
- Design, build, standardize, and maintain REDCap databases across single-center and multicenter studies, ensuring databases are optimized for accurate, efficient, and proportionate data collection aligned with pragmatic trial designs.
- Develop comprehensive data management plans prior to study initiation, including data flow, submission timelines, quality checks, and reporting expectations.
- Create and maintain data dictionaries and variable definitions that prioritize clinically meaningful, feasible, and operationally sustainable endpoints.
- Perform ongoing data quality checks focused on completeness, consistency, and usability rather than exhaustive source verification; generate and manage data queries and coordinate resolution with all participating sites.
- Oversee data collection, submission, cleaning, and migration of datasets into REDCap, and prepare datasets for statistical analysis, reporting, and downstream use.
- Train and support research coordinators and investigators on REDCap build, data entry standards, documentation expectations, and pragmatic data workflows.
- Develop, standardize, and maintain standard operating procedures (SOPs) for data collection, security, governance, and multicenter data coordination.
- Serve as a primary point of contact for site-level data questions, issue resolution, and clarification of data expectations across participating sites.
- Ensure research data management practices comply with institutional policies, IRB requirements, Data Use Agreements, and applicable regulatory standards; contribute content to Data Use Agreements for multicenter collaborations.
- Partner closely with regulatory staff to ensure alignment between study data, IRB approvals, regulatory submissions, and study documentation.
- Generate routine and ad hoc reports to support investigators, research leadership, study operations, and external stakeholders.
- Support data readiness for monitoring visits, audits, internal quality assurance reviews, and regulatory inspections.
- Assist investigators with data extraction and preparation for abstracts, manuscripts, grant reporting, and internal reviews.
- Support ClinicalTrials.gov results reporting, as applicable, in collaboration with regulatory staff and investigators.
- Contribute to the development of standardized data management templates, tools, and best practices to strengthen research infrastructure.
- Attend research operations meetings to support proactive data planning, coordination, and program development.
- Demonstrates knowledge of GCP/ICH regulations and 21 CFR Part 11.
- Perform other job-related duties as assigned.
Minimum Qualifications
Bachelor’s degree required in health sciences, public health, biology, data science, informatics, or a related field plus 4 years of related clinical research experience or equivalent combination of education and experience.
Strong computer proficiency, including routine use of web-based systems, databases, and Microsoft Office applications (Excel, Word, Teams/SharePoint or similar).
Effective written and verbal communication skills, with the ability to work collaboratively with investigators, coordinators, and regulatory staff.
Strong organizational skills and attention to detail, with the ability to manage multiple studies or data streams simultaneously and meet deadlines.
Preferred Qualifications
- Demonstrated experience with clinical research data management, including electronic data capture systems (e.g., REDCap or similar platforms).
- Ability to manage data tasks independently, including database maintenance, routine data quality checks, query resolution, and report generation.
- Working knowledge of clinical research regulations and standards, including IRB requirements, human subjects protections, and data privacy/security principles (e.g., HIPAA).
- Experience using programming or query languages for data cleaning, derivation, and dataset preparation (e.g., R, SAS, SQL, Python).
- Familiarity with clinical and research data standards such as CDASH, SDTM, ADaM, and OMOP CDM.
Other Requirements
Must successfully complete applicable compliance and systems training requirements.
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.
Data Manager Job Roles in New York
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Search Data Manager Jobs in New YorkData Manager Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for data managers in New York?
Financial institutions including JPMorgan Chase, Citigroup, and Goldman Sachs are among the more active sponsors for data management roles in New York, alongside health systems like NewYork-Presbyterian and tech firms such as IBM and Verizon. Consulting firms with large New York offices, including Deloitte and Accenture, also sponsor regularly for data manager positions requiring specialized technical backgrounds.
Which visa types are most common for data manager roles in New York?
The H-1B is the most common visa for data manager positions in New York, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field such as computer science, information systems, or statistics. Candidates already authorized to work, such as those on OPT or an H-1B transfer from a previous employer, may find the process more straightforward than new cap-subject petitions.
Which cities in New York have the most data manager sponsorship jobs?
Manhattan accounts for the largest share of data manager sponsorship activity in New York, driven by finance, media, and enterprise technology employers. Buffalo and Rochester have emerging opportunities through healthcare systems and regional manufacturers. Albany sees sponsorship activity tied to state government contractors and health informatics organizations. For candidates open to commuting, the broader metro area including parts of New Jersey is worth considering.
How to find data manager visa sponsorship jobs in New York?
Migrate Mate is built specifically for international candidates and filters data manager roles in New York by visa sponsorship eligibility, saving you from sorting through postings that won't support work authorization. The platform surfaces employers with a documented history of sponsoring data management positions in the state, which is particularly useful given how inconsistently sponsorship intent is disclosed in standard job postings.
Are there any New York-specific considerations for data managers seeking visa sponsorship?
New York's prevailing wage requirements apply to H-1B positions statewide, and employers must file a Labor Condition Application with the Department of Labor before sponsoring. The state's concentration of regulated industries, particularly finance and healthcare, means data manager roles often carry additional compliance expectations that can affect how employers frame the position's degree requirements, which in turn influences how USCIS evaluates specialty occupation eligibility.
What is the prevailing wage for sponsored data manager jobs in New York?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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