H-1B Visa Data Science Director Jobs
Data Science Director roles qualify as H-1B visa specialty occupations, requiring at least a bachelor's degree in a directly related field. Employers file the LCA with the DOL before sponsoring your H-1B petition. The annual cap and lottery apply unless your employer is cap-exempt.
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Location
Cary, North Carolina
Alternative Location(s)
* Posting Location: New York, New York
Working Schedule
Full-Time
Work Arrangement
Hybrid
Travel Required
10%
Relocation Assistance Available
No
Grade
14M
Posted Date
02-Nov-2026
Job ID
21459
Description and Requirements
The Team You Will Join
At MetLife, data isn’t just a tool – it is a catalyst for growth. As part of our Data & Analytics organization, you’ll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact. We’re building the future of data – one that’s governed responsibly, engineered for scalability, and designed for growth. When you join us, you’re not just supporting the business – you’re empowering it. Let’s transform insight into impact and data into action, together.
The Opportunity
The AVP, Data Science is a senior leader within MetLife’s Enterprise Data Science & AI function, reporting to the Head of Data Science & AI, and is responsible for driving the delivery and enterprise adoption of data science, machine learning (ML), and generative AI solutions across the company’s global businesses and functions. The AVP oversees two areas, Applied Data Science and Enterprise AI Capabilities, and leads a team of 6–8 data scientists and ML engineers.
The AVP partners with business leaders and regional data officers to identify and deliver high-value use cases that support growth, profitability, and operational efficiency, and ensures solutions scale beyond pilots into production, where they are adopted and monitored. In parallel, the AVP builds reusable, production-grade AI capabilities, with the standards and practices that help regions move faster, with more consistency and quality, working closely with data engineering, technology, risk, and governance partners.
MetLife has a strong foundation in data science and a clear opportunity to turn it into enterprise-wide impact. The AVP is a change leader as much as a technical leader: a hands-on expert in statistical modeling, ML, and generative AI who earns credibility with experienced data scientists and regional leaders, leads through influence in a federated, global organization, and brings a product mindset focused on user experience and tangible business impact. The AVP balances innovation and creative problem solving with operational rigor and responsible AI in a regulated environment.
Key Responsibilities
- Lead the delivery of data science, ML, and AI solutions across key business areas, from problem definition through deployment and ongoing performance monitoring, with accountability for adoption and measurable business impact.
- Partner with business leaders and regional data officers to identify, prioritize, and execute high-impact AI use cases tied to growth, profitability, and operational efficiency.
- Apply a product approach to AI solutions: define users, adoption, and value measures up front, deliver a strong user experience, and ensure solutions are used, supported, and improved after launch.
- Apply advanced statistical modeling, ML, and generative AI techniques to complex business problems, choosing the right method for each decision and translating insights into clear, actionable recommendations.
- Drive experimentation and innovation through pilots and proofs of value, with a clear path to scale successful solutions across the enterprise or stop those that do not earn adoption.
- Collaborate with data engineering, technology, and platform teams to build and scale enterprise-grade MLOps / AIOps capabilities, including model development, deployment, and monitoring.
- Promote the reuse and standardization of models, data assets, and AI components across regions and teams to improve speed, consistency, and quality.
- Contribute to the Data Science & AI Center of Excellence and communities of practice: share best practices, standards, and reusable tools, and encourage knowledge sharing and adoption of modern approaches across regions.
- Partner with risk, legal, and governance teams so that AI solutions meet regulatory, ethical, and data protection requirements, and build to model governance standards for performance monitoring, fairness, transparency, and reliability.
- Lead, coach, and develop a high-performing team of data scientists and ML engineers, focused on delivering impact in production, and foster a collaborative, high-accountability culture of continuous learning, innovation, and results.
- Serve as a trusted partner to the Head of Data Science & AI: help shape priorities and the roadmap, represent the function with regional leaders and business partners, and communicate progress, value, and risks to senior stakeholders.
Required Qualifications
- Senior technical leader with 10+ years of significant experience delivering data science, ML, and AI solutions, and expert-level proficiency in statistical modeling, ML, and generative AI.
- Familiarity with MLOps / AIOps and modern technology stacks, including the model lifecycle (deployment, monitoring, retraining), cloud ML platforms, and evaluation of generative AI.
- Applied technology transformation delivery with measured business outcomes, including moving solutions from pilot to scaled production.
- Strong product mindset, with an orientation to user experience and tangible business impact, balanced by innovation and creative problem solving.
- Strong (4+ years) people leadership experience: coaching, developing, and leading a team effectively.
- Skilled in stakeholder management, with the ability to communicate with and influence senior business and technology leaders across a complex, global environment.
- Degree in a quantitative or technical field required; Master’s degree preferred.
Preferred Qualifications
- Model governance experience, and delivering AI/ML solutions in a regulated industry such as insurance or financial services.
- Experience operating at global Fortune 500 scale and complexity.
Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.
The expected salary range for this position is $190,000 - $230,000. This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.
Benefits We Offer
Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more! For more information regarding MetLife’s U.S. benefits, please click here.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!
MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law (“protected characteristics”).
If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.
MetLife maintains a drug-free workplace.
This posting is for a current vacancy and is anticipated to remain open for at least 90 days from the listed posting date.
General Information
Location
Cary, North Carolina
Alternative Location(s)
* Posting Location: New York, New York
Working Schedule
Full-Time
Work Arrangement
Hybrid
Travel Required
10%
Relocation Assistance Available
No
Grade
14M
Posted Date
02-Nov-2026
Job ID
21459
Description and Requirements
The Team You Will Join
At MetLife, data isn’t just a tool – it is a catalyst for growth. As part of our Data & Analytics organization, you’ll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact. We’re building the future of data – one that’s governed responsibly, engineered for scalability, and designed for growth. When you join us, you’re not just supporting the business – you’re empowering it. Let’s transform insight into impact and data into action, together.
The Opportunity
The AVP, Data Science is a senior leader within MetLife’s Enterprise Data Science & AI function, reporting to the Head of Data Science & AI, and is responsible for driving the delivery and enterprise adoption of data science, machine learning (ML), and generative AI solutions across the company’s global businesses and functions. The AVP oversees two areas, Applied Data Science and Enterprise AI Capabilities, and leads a team of 6–8 data scientists and ML engineers.
The AVP partners with business leaders and regional data officers to identify and deliver high-value use cases that support growth, profitability, and operational efficiency, and ensures solutions scale beyond pilots into production, where they are adopted and monitored. In parallel, the AVP builds reusable, production-grade AI capabilities, with the standards and practices that help regions move faster, with more consistency and quality, working closely with data engineering, technology, risk, and governance partners.
MetLife has a strong foundation in data science and a clear opportunity to turn it into enterprise-wide impact. The AVP is a change leader as much as a technical leader: a hands-on expert in statistical modeling, ML, and generative AI who earns credibility with experienced data scientists and regional leaders, leads through influence in a federated, global organization, and brings a product mindset focused on user experience and tangible business impact. The AVP balances innovation and creative problem solving with operational rigor and responsible AI in a regulated environment.
Key Responsibilities
- Lead the delivery of data science, ML, and AI solutions across key business areas, from problem definition through deployment and ongoing performance monitoring, with accountability for adoption and measurable business impact.
- Partner with business leaders and regional data officers to identify, prioritize, and execute high-impact AI use cases tied to growth, profitability, and operational efficiency.
- Apply a product approach to AI solutions: define users, adoption, and value measures up front, deliver a strong user experience, and ensure solutions are used, supported, and improved after launch.
- Apply advanced statistical modeling, ML, and generative AI techniques to complex business problems, choosing the right method for each decision and translating insights into clear, actionable recommendations.
- Drive experimentation and innovation through pilots and proofs of value, with a clear path to scale successful solutions across the enterprise or stop those that do not earn adoption.
- Collaborate with data engineering, technology, and platform teams to build and scale enterprise-grade MLOps / AIOps capabilities, including model development, deployment, and monitoring.
- Promote the reuse and standardization of models, data assets, and AI components across regions and teams to improve speed, consistency, and quality.
- Contribute to the Data Science & AI Center of Excellence and communities of practice: share best practices, standards, and reusable tools, and encourage knowledge sharing and adoption of modern approaches across regions.
- Partner with risk, legal, and governance teams so that AI solutions meet regulatory, ethical, and data protection requirements, and build to model governance standards for performance monitoring, fairness, transparency, and reliability.
- Lead, coach, and develop a high-performing team of data scientists and ML engineers, focused on delivering impact in production, and foster a collaborative, high-accountability culture of continuous learning, innovation, and results.
- Serve as a trusted partner to the Head of Data Science & AI: help shape priorities and the roadmap, represent the function with regional leaders and business partners, and communicate progress, value, and risks to senior stakeholders.
Required Qualifications
- Senior technical leader with 10+ years of significant experience delivering data science, ML, and AI solutions, and expert-level proficiency in statistical modeling, ML, and generative AI.
- Familiarity with MLOps / AIOps and modern technology stacks, including the model lifecycle (deployment, monitoring, retraining), cloud ML platforms, and evaluation of generative AI.
- Applied technology transformation delivery with measured business outcomes, including moving solutions from pilot to scaled production.
- Strong product mindset, with an orientation to user experience and tangible business impact, balanced by innovation and creative problem solving.
- Strong (4+ years) people leadership experience: coaching, developing, and leading a team effectively.
- Skilled in stakeholder management, with the ability to communicate with and influence senior business and technology leaders across a complex, global environment.
- Degree in a quantitative or technical field required; Master’s degree preferred.
Preferred Qualifications
- Model governance experience, and delivering AI/ML solutions in a regulated industry such as insurance or financial services.
- Experience operating at global Fortune 500 scale and complexity.
Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.
The expected salary range for this position is $190,000 - $230,000. This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.
Benefits We Offer
Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more! For more information regarding MetLife’s U.S. benefits, please click here.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!
MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law (“protected characteristics”).
If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.
MetLife maintains a drug-free workplace.
This posting is for a current vacancy and is anticipated to remain open for at least 90 days from the listed posting date.
See all 221+ H-1B Visa Data Science Director Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Science Director Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Data Science Director
Benchmark your prevailing wage before negotiating
Look up the SOC code for Data Science Directors using the OFLC Wage Search before your offer stage. Your employer's LCA must certify a wage at or above the prevailing wage for your location and experience level.
Target cap-exempt employers strategically
Universities, nonprofit research organizations, and government entities are exempt from the H-1B lottery. Data Science Director roles at these institutions can be filed any time of year, bypassing the April registration window entirely.
Document your specialty occupation case thoroughly
Director-level data science roles sometimes draw RFEs questioning whether a specific degree field is required. Collect job postings, internal org charts, and your employer's written justification linking your degree field directly to the role's core responsibilities.
Search Migrate Mate to identify active H-1B sponsors
Filter by Data Science Director roles on Migrate Mate to see which employers have LCA filing history for this title. This lets you prioritize companies with a demonstrated track record of sponsoring H-1B petitions for senior data leadership positions.
Confirm your employer's E-Verify enrollment before accepting
H-1B sponsors must be enrolled in E-Verify. Ask HR to confirm enrollment status before you resign from your current role. A sponsor who isn't enrolled cannot legally file your H-1B petition, and onboarding delays can affect your status.
Plan your I-129 filing timeline around the lottery
USCIS opens H-1B registration in March for an October 1 start date. If you're selected, your employer has until June to file the full I-129 petition. Confirm your employer's internal legal timeline well before the registration window opens.
H-1B Visa Data Science Director: Frequently Asked Questions
Does a Data Science Director role qualify as an H-1B specialty occupation?
Yes. A Data Science Director role qualifies because it typically requires at least a bachelor's degree in statistics, computer science, mathematics, or a related field as a normal requirement for entry. USCIS evaluates specialty occupation based on the actual duties and the degree requirement, not just the job title. Director-level roles with strategic and technical responsibilities generally satisfy this standard, though your employer may need to document why a specific degree field is required.
Which employers sponsor H-1B visas for Data Science Director positions?
Large technology companies, financial services firms, healthcare systems, and enterprise software companies regularly sponsor H-1B visas for senior data science leadership roles. Cap-exempt employers like research universities and nonprofits affiliated with higher education also hire at the director level. Migrate Mate surfaces employers with verified LCA filing history for Data Science Director titles, so you can identify active sponsors without manual DOL database searches.
Can I transfer my H-1B to a new employer for a Data Science Director role?
Yes. Under H-1B portability, you can start working for a new employer as soon as they file a transfer petition with USCIS, without waiting for approval, as long as you've been in valid H-1B status and the petition is non-frivolous. Your new employer files a new I-129 and LCA specific to the Director role and your work location. You don't re-enter the lottery if you already hold H-1B status.
What is the prevailing wage requirement for a Data Science Director on H-1B?
Your employer's LCA must certify a wage at or above the prevailing wage for the Data Science Director SOC code in your specific metropolitan area. The DOL sets four wage levels; most Director roles are classified at Level III or IV. You can verify the applicable wage using the OFLC Wage Search before your offer stage to confirm whether a proposed salary meets the DOL threshold for your location.
Does a Data Science Director need a master's degree for H-1B approval?
A master's degree isn't required by law, but it can strengthen the specialty occupation case, particularly if your employer's other hires at this level hold advanced degrees. USCIS looks at the employer's own degree requirements, industry norms, and whether the role requires theoretical and practical application of highly specialized knowledge. The O*NET profile for this occupation and comparable job postings are commonly used as supporting evidence in the petition.