Data Analytics Lead Jobs in USA with Visa Sponsorship
Data Analytics Lead roles attract strong H-1B visa and O-1 visa sponsorship from U.S. employers, particularly in tech, finance, and healthcare. Most positions qualify as specialty occupations requiring a bachelor's degree in statistics, computer science, or a related quantitative field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsRequisition ID
93636
Department
Corporate Finance
Job Function
Corporate Finance
Location
Remote, New York, United States
Role Location Designation
Fully Remote
Location Designation: Fully Remote
Business Overview:
Join Corporate Finance, where strategic insight, financial stewardship, and technical innovation come together to support business performance and policyholder value. This role sits at the intersection of actuarial modeling, data engineering, and cloud technology, enabling scalable, well-governed solutions that support financial reporting, valuation, and analytics.
Role Overview:
The Corporate Vice President (MG3) will lead the design and execution of actuarial data and modeling architecture, with a focus on integrating actuarial platforms (including Prophet/FIS) into modern cloud-based ecosystems. This role requires strong technical expertise, leadership capability, and the ability to collaborate effectively across actuarial, finance, and technology teams.
What You’ll Do:
- Lead the design and implementation of actuarial data architecture within AWS (S3, Lambda, Redshift).
- Develop and oversee scalable ETL pipelines supporting actuarial and financial reporting processes.
- Architect and support Prophet/FIS environments, including model integration, automation, and production processes.
- Establish and maintain data governance, quality controls, and model oversight frameworks.
- Partner with actuarial, finance, and technology stakeholders to deliver business-aligned data solutions.
- Communicate technical concepts and insights clearly to both technical and non-technical audiences.
- Lead, mentor, and develop cross-functional teams across actuarial and data disciplines.
- Identify and implement opportunities to enhance data infrastructure, automation, and efficiency.
What You’ll Bring:
Experience & Technical Skills:
- Bachelor’s degree in a technical or quantitative discipline (e.g., Computer Science, Engineering, Mathematics, or related).
- 10+ years of experience in data engineering, actuarial technology, or financial systems.
- Strong experience with cloud-based data platforms (AWS preferred), including ETL design and data warehousing (e.g., Redshift).
- Proficiency in programming (e.g., Python) and version control (e.g., GitHub).
- Experience delivering complex, cross-functional initiatives in a production environment.
Leadership & Communication:
- Demonstrated ability to lead and develop high-performing teams.
- Strong collaboration skills across actuarial, finance, and technology organizations.
- Excellent verbal and written communication skills, with the ability to translate complex concepts for diverse audiences.
Preferred Qualifications
- Experience with Prophet/FIS actuarial software and model integration.
- Background in insurance, actuarial modeling, or financial reporting.
- Familiarity with modern DevOps practices.
- FSA or ASA designation is a plus.
LI-VL1
LI-HYBRID
Job Level: LEVELMG3
Pay Transparency
Salary Range: $175,000-$250,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.
Job Requisition ID: 93636
Requisition ID
93636
Department
Corporate Finance
Job Function
Corporate Finance
Location
Remote, New York, United States
Role Location Designation
Fully Remote
Location Designation: Fully Remote
Business Overview:
Join Corporate Finance, where strategic insight, financial stewardship, and technical innovation come together to support business performance and policyholder value. This role sits at the intersection of actuarial modeling, data engineering, and cloud technology, enabling scalable, well-governed solutions that support financial reporting, valuation, and analytics.
Role Overview:
The Corporate Vice President (MG3) will lead the design and execution of actuarial data and modeling architecture, with a focus on integrating actuarial platforms (including Prophet/FIS) into modern cloud-based ecosystems. This role requires strong technical expertise, leadership capability, and the ability to collaborate effectively across actuarial, finance, and technology teams.
What You’ll Do:
- Lead the design and implementation of actuarial data architecture within AWS (S3, Lambda, Redshift).
- Develop and oversee scalable ETL pipelines supporting actuarial and financial reporting processes.
- Architect and support Prophet/FIS environments, including model integration, automation, and production processes.
- Establish and maintain data governance, quality controls, and model oversight frameworks.
- Partner with actuarial, finance, and technology stakeholders to deliver business-aligned data solutions.
- Communicate technical concepts and insights clearly to both technical and non-technical audiences.
- Lead, mentor, and develop cross-functional teams across actuarial and data disciplines.
- Identify and implement opportunities to enhance data infrastructure, automation, and efficiency.
What You’ll Bring:
Experience & Technical Skills:
- Bachelor’s degree in a technical or quantitative discipline (e.g., Computer Science, Engineering, Mathematics, or related).
- 10+ years of experience in data engineering, actuarial technology, or financial systems.
- Strong experience with cloud-based data platforms (AWS preferred), including ETL design and data warehousing (e.g., Redshift).
- Proficiency in programming (e.g., Python) and version control (e.g., GitHub).
- Experience delivering complex, cross-functional initiatives in a production environment.
Leadership & Communication:
- Demonstrated ability to lead and develop high-performing teams.
- Strong collaboration skills across actuarial, finance, and technology organizations.
- Excellent verbal and written communication skills, with the ability to translate complex concepts for diverse audiences.
Preferred Qualifications
- Experience with Prophet/FIS actuarial software and model integration.
- Background in insurance, actuarial modeling, or financial reporting.
- Familiarity with modern DevOps practices.
- FSA or ASA designation is a plus.
LI-VL1
LI-HYBRID
Job Level: LEVELMG3
Pay Transparency
Salary Range: $175,000-$250,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.
Job Requisition ID: 93636
See all 1,282+ Data Analytics Lead jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Lead roles.
Get Access To All JobsTips for Finding Data Analytics Lead Jobs
Target employers with H-1B sponsorship history
Companies that have filed H-1B petitions for analytics roles before are far more likely to sponsor again. Look for employers in tech, consulting, and financial services, where data leadership roles are well-established and sponsorship processes are already in place.
Emphasize your specialty occupation credentials
USCIS scrutinizes analytics roles for specialty occupation status. A graduate degree in statistics, data science, or computer science strengthens your petition significantly. Document how your role requires that specific field of study, not just any bachelor's degree.
Highlight leadership scope in your resume
Lead-level titles carry more weight with USCIS than individual contributor roles. Clearly quantify team size managed, cross-functional influence, and strategic deliverables. This directly supports the complexity argument that strengthens H-1B specialty occupation approval.
Prepare for prevailing wage scrutiny
The Department of Labor classifies analytics lead roles at higher wage levels. Your employer's LCA must reflect a wage at or above the prevailing rate for your location and level. Misclassification at a lower level is a common RFE trigger worth addressing early.
Consider the O-1A if you have strong career achievements
Data Analytics Leads with published research, speaking engagements, industry awards, or evidence of high salary relative to peers may qualify for the O-1A. It bypasses the H-1B lottery entirely and is worth evaluating if your credentials are genuinely exceptional.
Start the conversation with employers before the offer stage
Many hiring managers assume sponsorship is more burdensome than it is for senior analytics roles. Framing it early as a straightforward process for a specialized position reduces hesitation and prevents sponsorship from becoming a last-minute deal-breaker in negotiations.
Data Analytics Lead jobs are hiring across the US. Find yours.
Find Data Analytics Lead JobsFrequently Asked Questions
Does a Data Analytics Lead role qualify for H-1B sponsorship?
Yes, in most cases. Data Analytics Lead positions typically qualify as specialty occupations because they require at minimum a bachelor's degree in a specific field such as statistics, data science, mathematics, or computer science. USCIS looks at whether the role normally requires a degree in a particular discipline, not just any degree, so job descriptions that specify a quantitative field generally hold up well under scrutiny.
What degree do I need for an employer to sponsor my H-1B as a Data Analytics Lead?
A bachelor's degree in statistics, data science, computer science, mathematics, or a closely related quantitative field is the baseline. A master's degree strengthens the petition considerably and reduces the risk of an RFE challenging specialty occupation status. If your undergraduate degree is in a different field, relevant graduate coursework or a combination of education and experience may bridge the gap, though this requires more documentation.
How likely is H-1B approval for Data Analytics Lead roles?
Approval rates for analytics and data science roles are generally strong when the job description clearly establishes specialty occupation requirements. The main risk factors are vague job duties that could apply to any degree holder, or wage levels that appear inconsistent with a senior role. Employers with experienced immigration counsel and clean LCA filings see fewer RFEs. The H-1B lottery remains the primary obstacle, not approval itself, with a selection rate of roughly 25% in recent registration cycles.
Do employers commonly sponsor Data Analytics Lead roles, and how do I find them?
Yes, sponsorship is common at this level, especially in technology, financial services, consulting, and healthcare analytics. Lead and manager-level roles are generally easier to sponsor than entry-level positions because employers are more motivated to retain senior talent. Migrate Mate lists Data Analytics Lead roles specifically filtered for visa sponsorship, so you can browse active opportunities without filtering out employers who don't sponsor.
Can I transfer my H-1B to a new employer for a Data Analytics Lead role mid-visa period?
Yes. H-1B portability allows you to start working for a new employer as soon as the transfer petition is filed, without waiting for approval, provided you've been maintaining valid H-1B status. The new employer files a fresh I-129 with an updated LCA reflecting the new role and location. If your title or duties change significantly, the new petition must independently satisfy specialty occupation requirements for the Data Analytics Lead position.
What is the prevailing wage requirement for sponsored Data Analytics Lead jobs?
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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