H-1B Visa Data Management Specialist Jobs
Data Management Specialist roles qualify for H-1B visa sponsorship as specialty occupations requiring at least a bachelor's degree in information systems, computer science, or a related field. Employers file the LCA with DOL before submitting Form I-129 to USCIS, and the annual cap of 85,000 slots means timing your job search around the April lottery registration window matters.
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Get Access To All JobsINTRODUCTION
MSAT Lifecycle Management Data & Process Specialist executes the completeness, validation, and delivery of commercial manufacturing data for the Manufacturing Science and Technology (MSAT) department throughout the commercial product lifecycle. Operating within the Lifecycle Management (LCM) group, this role serves as the functional oversight for department data from CASGEVY manufacturing. The Specialist coordinates, verifies, and distributes global data to support cross-functional studies, regulatory agency responses, and technical investigations within the Commercial Manufacturing & Supply Chain network. This position bridges manual data management with advanced analytics, partnering alongside Technical Operations and leveraging generative AI technologies to automate internal workflows, ensure data integrity, and support product commercialization activities.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
Departmental Data Stewardship & Distribution:
- Enter and approve manufacturing data from global internal and external manufacturing networks into internal validated databases.
- Provide validated data packages and manufacturing process content for regulatory submissions and responses, including data verification support.
- Field, prioritize, and execute routine and ad-hoc requests to provide datasets for various departmental and cross-functional projects.
Lifecycle Management & Regulatory Compliance:
- Support Continuous Process Verification (CPV) deliverables and Annual Product Quality Review (APQR) reporting by managing global site data entry, assisting with authoring reports, and managing completeness of historical data.
- Execute and sign off on Data Verification (DV) protocols for various regulatory submissions and information requests.
- Ensure all data handling complies with cell and gene therapy (CGT) requirements, current Good Manufacturing Practices (cGMP), data integrity guidelines, and company internal controls.
Process Monitoring & Investigations Support:
- Analyze complex manufacturing datasets to identify Out-of-Trend (OOT) and Out-of-Specification (OOS) anomalies, proactively flagging processing issues.
- Partner with other MSAT groups by assisting with trend/process investigations and CPV-related quality events.
- Participate in cross-functional manufacturing data review forums to evaluate proactive process performance, monitor key metrics, and mitigate operational risks through early anomaly detection.
- Synthesize technical data, resolve data issues independently, and generate metrics/data-driven reports to support compliance, efficiency projects, and executive decision-making.
- Provide departmental and cross-functional training on data systems/practices.
Digital Innovation & Automation:
- Utilize generative AI technologies and partner with Automation, DTE, and QA teams to test, integrate, and implement digital tools, such as electronic Batch Record (eBR) code readers and AI-driven data automation.
- Evaluate emerging data management software (spanning collection, preparation, storage, analysis, distribution, and visualization) to improve department-wide workflow efficiency and reduce manual errors.
Operational Agility:
- Cross-train team members on automated tools and standardized data verification practices to build department-level resilience.
BASIC QUALIFICATIONS
Education & Experience:
- Bachelor's degree in Life Sciences (or engineering with life sciences concentration) with a minimum of 0-2 years of relevant experience, or an equivalent combination of education and experience.
- Direct experience managing, preparing, and verifying data for technical regulatory/agency reports and questions.
- Demonstrated hands-on experience utilizing generative AI technologies to streamline or automate internal processes.
- Strong background working with data management software configurations spanning data collection, preparation, storage, analysis, and visualization.
- Basic knowledge of programming or coding using Python, SQL, C++, or a similar programming language.
- General understanding of statistical concepts and experience interpreting or analyzing data.
Required Knowledge & Skills:
- Strong technical background in therapeutic pharmaceutical manufacturing processes, with a preference for Cell & Gene Therapy (CGT) cGMP environments.
- Thorough knowledge of current Good Manufacturing Practices (cGMP) and regulatory requirements related to commercial product lifecycle stages.
- Strong problem-solving and critical thinking skills with the ability to analyze complex datasets and make sound, data-driven recommendations.
- Excellent written and verbal communication skills, with a proven ability to translate complex technical information for diverse stakeholders and cross-functional teams.
- Strong collaborative and leadership skills to contribute to and provide technical data guidance within project frameworks.
CONTRACT LENGTH
6 months, with the possibility of extension.
PAY RANGE
$44/hr. - $54/hr.
SHIFT/HOURS
Monday–Friday, Hybrid
REQUISITION DISCLAIMER
This job posting is for a temporary role with a third-party agency partner on assignment at Vertex Pharmaceuticals (“Vertex”). The individual selected for this role will be offered the role as an employee of a third-party agency partner; compensation, medical benefits, fringe benefits and other terms and conditions of employment shall be presented by the third-party agency partner upon offer. The pay rate range provided is a reasonable estimate of the anticipated compensation range for this job at the time of posting. The actual pay rate will be based on a number of factors, including skills, competencies, experience, location and/or being pursued and other job-related factors permitted by law. In addition, this role will be eligible for overtime pay, in accordance with federal and state requirements.
By applying for this position, you agree to the Atrium Terms and Conditions and you direct Atrium to share your application materials, which may include your CV/Resume, email address or phone number, with Vertex. For more information on how Vertex handles your personal data related to your job application, please see Vertex’s Careers Privacy Notice. Agreeing to the Atrium Terms and Conditions, includes permission to use the email address and mobile phone number you provide during the application process or throughout the duration of your prospective or actual employment to notify you of job openings, profiles, articles, news, and other employment-related information, as well as to notify you of special promotions or additional products and services offered by us or our affiliates and partners (collectively, “Atrium Alerts”). Atrium Alerts may be sent by email, phone, or text message. Your personal information will be safely stored within the Atrium & Vertex databases. Atrium does not sell your personal information to third parties. Text message and data rates may apply. To OPT OUT of text messaging or to modify your communication preferences for Atrium Alerts at any time, please contact Atrium at privacyadministrator@atriumstaff.com.
If you do not agree with the Atrium Terms and Conditions, you can still complete your application for this position by emailing your resume to our team at tempstaffing@vrtx.com. Please include the job title in the subject of your email.
No C2C or Third-Party Vendors
INTRODUCTION
MSAT Lifecycle Management Data & Process Specialist executes the completeness, validation, and delivery of commercial manufacturing data for the Manufacturing Science and Technology (MSAT) department throughout the commercial product lifecycle. Operating within the Lifecycle Management (LCM) group, this role serves as the functional oversight for department data from CASGEVY manufacturing. The Specialist coordinates, verifies, and distributes global data to support cross-functional studies, regulatory agency responses, and technical investigations within the Commercial Manufacturing & Supply Chain network. This position bridges manual data management with advanced analytics, partnering alongside Technical Operations and leveraging generative AI technologies to automate internal workflows, ensure data integrity, and support product commercialization activities.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
Departmental Data Stewardship & Distribution:
- Enter and approve manufacturing data from global internal and external manufacturing networks into internal validated databases.
- Provide validated data packages and manufacturing process content for regulatory submissions and responses, including data verification support.
- Field, prioritize, and execute routine and ad-hoc requests to provide datasets for various departmental and cross-functional projects.
Lifecycle Management & Regulatory Compliance:
- Support Continuous Process Verification (CPV) deliverables and Annual Product Quality Review (APQR) reporting by managing global site data entry, assisting with authoring reports, and managing completeness of historical data.
- Execute and sign off on Data Verification (DV) protocols for various regulatory submissions and information requests.
- Ensure all data handling complies with cell and gene therapy (CGT) requirements, current Good Manufacturing Practices (cGMP), data integrity guidelines, and company internal controls.
Process Monitoring & Investigations Support:
- Analyze complex manufacturing datasets to identify Out-of-Trend (OOT) and Out-of-Specification (OOS) anomalies, proactively flagging processing issues.
- Partner with other MSAT groups by assisting with trend/process investigations and CPV-related quality events.
- Participate in cross-functional manufacturing data review forums to evaluate proactive process performance, monitor key metrics, and mitigate operational risks through early anomaly detection.
- Synthesize technical data, resolve data issues independently, and generate metrics/data-driven reports to support compliance, efficiency projects, and executive decision-making.
- Provide departmental and cross-functional training on data systems/practices.
Digital Innovation & Automation:
- Utilize generative AI technologies and partner with Automation, DTE, and QA teams to test, integrate, and implement digital tools, such as electronic Batch Record (eBR) code readers and AI-driven data automation.
- Evaluate emerging data management software (spanning collection, preparation, storage, analysis, distribution, and visualization) to improve department-wide workflow efficiency and reduce manual errors.
Operational Agility:
- Cross-train team members on automated tools and standardized data verification practices to build department-level resilience.
BASIC QUALIFICATIONS
Education & Experience:
- Bachelor's degree in Life Sciences (or engineering with life sciences concentration) with a minimum of 0-2 years of relevant experience, or an equivalent combination of education and experience.
- Direct experience managing, preparing, and verifying data for technical regulatory/agency reports and questions.
- Demonstrated hands-on experience utilizing generative AI technologies to streamline or automate internal processes.
- Strong background working with data management software configurations spanning data collection, preparation, storage, analysis, and visualization.
- Basic knowledge of programming or coding using Python, SQL, C++, or a similar programming language.
- General understanding of statistical concepts and experience interpreting or analyzing data.
Required Knowledge & Skills:
- Strong technical background in therapeutic pharmaceutical manufacturing processes, with a preference for Cell & Gene Therapy (CGT) cGMP environments.
- Thorough knowledge of current Good Manufacturing Practices (cGMP) and regulatory requirements related to commercial product lifecycle stages.
- Strong problem-solving and critical thinking skills with the ability to analyze complex datasets and make sound, data-driven recommendations.
- Excellent written and verbal communication skills, with a proven ability to translate complex technical information for diverse stakeholders and cross-functional teams.
- Strong collaborative and leadership skills to contribute to and provide technical data guidance within project frameworks.
CONTRACT LENGTH
6 months, with the possibility of extension.
PAY RANGE
$44/hr. - $54/hr.
SHIFT/HOURS
Monday–Friday, Hybrid
REQUISITION DISCLAIMER
This job posting is for a temporary role with a third-party agency partner on assignment at Vertex Pharmaceuticals (“Vertex”). The individual selected for this role will be offered the role as an employee of a third-party agency partner; compensation, medical benefits, fringe benefits and other terms and conditions of employment shall be presented by the third-party agency partner upon offer. The pay rate range provided is a reasonable estimate of the anticipated compensation range for this job at the time of posting. The actual pay rate will be based on a number of factors, including skills, competencies, experience, location and/or being pursued and other job-related factors permitted by law. In addition, this role will be eligible for overtime pay, in accordance with federal and state requirements.
By applying for this position, you agree to the Atrium Terms and Conditions and you direct Atrium to share your application materials, which may include your CV/Resume, email address or phone number, with Vertex. For more information on how Vertex handles your personal data related to your job application, please see Vertex’s Careers Privacy Notice. Agreeing to the Atrium Terms and Conditions, includes permission to use the email address and mobile phone number you provide during the application process or throughout the duration of your prospective or actual employment to notify you of job openings, profiles, articles, news, and other employment-related information, as well as to notify you of special promotions or additional products and services offered by us or our affiliates and partners (collectively, “Atrium Alerts”). Atrium Alerts may be sent by email, phone, or text message. Your personal information will be safely stored within the Atrium & Vertex databases. Atrium does not sell your personal information to third parties. Text message and data rates may apply. To OPT OUT of text messaging or to modify your communication preferences for Atrium Alerts at any time, please contact Atrium at privacyadministrator@atriumstaff.com.
If you do not agree with the Atrium Terms and Conditions, you can still complete your application for this position by emailing your resume to our team at tempstaffing@vrtx.com. Please include the job title in the subject of your email.
No C2C or Third-Party Vendors
See all 37+ H-1B Visa Data Management Specialist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Management Specialist Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Management Specialist
Align your degree to SOC codes
USCIS evaluates specialty occupation status against the SOC code on your LCA. Data Management Specialist roles often map to SOC 15-1242 or 11-3021. Confirm your degree field directly supports the code your employer files under before signing an offer.
Pull prevailing wage data before negotiating
Use the OFLC Wage Search to look up Level I through Level IV wage rates for your target SOC code and work location. Your offered salary must meet the certified LCA wage, so knowing the floor protects you during offer negotiation.
Target employers with cap-exempt filing history
Universities, nonprofit research institutions, and government-affiliated entities are cap-exempt, meaning they can file your H-1B petition any time of year without lottery exposure. Data governance and records management roles exist across these sectors alongside corporate employers.
Search H-1B sponsors using Migrate Mate
Filter by occupation code on Migrate Mate to see which employers have filed LCAs for Data Management Specialist roles specifically. Targeting companies with verified H-1B filing history for your occupation cuts prospecting time and focuses outreach where sponsorship is already established practice.
Document your specialty occupation case early
Gather evidence that your role requires a specific degree, not just any bachelor's. Job descriptions referencing data architecture standards, metadata governance frameworks, or enterprise data modeling language strengthen the specialty occupation argument your employer will need to make in the I-129 petition.
Plan your I-129 timeline around premium processing
Standard H-1B adjudication can run several months after October 1, the earliest cap-subject petitions take effect. Premium processing gets a decision within 15 business days, which matters if your OPT or other status has a hard expiration date.
H-1B Visa Data Management Specialist: Frequently Asked Questions
Does a Data Management Specialist role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as information systems, computer science, or data science. Roles involving data governance, metadata management, or database architecture typically satisfy the specialty occupation standard. If the job description accepts any degree field as qualifying, your employer will need to strengthen the petition to avoid a USCIS Request for Evidence.
Which employers sponsor H-1B visas for Data Management Specialist positions?
Healthcare systems, financial institutions, federal contractors, and large technology companies regularly file LCAs for data management roles. You can identify employers with verified H-1B filing history for this occupation on Migrate Mate, which filters job listings by employers who have already certified LCAs for comparable roles, so you're not guessing about sponsorship willingness.
What SOC code does USCIS typically assign to Data Management Specialist roles?
Most Data Management Specialist positions fall under SOC 15-1242 (Database Administrators and Architects) or 11-3021 (Computer and Information Systems Managers), depending on whether the role is hands-on technical or involves strategic oversight. The SOC code determines the prevailing wage tier on your LCA, so confirming the correct code with your employer before the DOL filing is worth doing. The O*NET profile for each code details the tasks and skills USCIS expects to see reflected in the job description.
How does the H-1B lottery affect Data Management Specialists seeking sponsorship?
Cap-subject H-1B petitions compete in an annual lottery with 85,000 slots available each fiscal year, with registration typically opening in March. If you're not selected, your employer cannot file a cap-subject petition that year. One alternative is targeting cap-exempt employers, such as universities or nonprofit research organizations, which can sponsor H-1B workers outside the lottery entirely. USCIS publishes selection statistics after each registration period.
What documents should I prepare before an employer files my H-1B petition?
You'll need your academic transcripts and degree certificates, a credential evaluation if your degree was earned outside the U.S., your current visa documents, and a detailed offer letter that specifies your title, duties, start date, and salary. Employers also need documentation showing the role requires a specific degree field. Having an organized credential package ready before your employer engages an attorney shortens the petition preparation timeline significantly.