Green Card Head Of Engineering Jobs
Head Of Engineering roles qualify for EB-2 and EB-3 green card sponsorship when employers file a PERM labor certification demonstrating no qualified U.S. workers are available. Engineering leadership positions typically satisfy the advanced-degree requirement, making EB-2 the most common pathway. Sponsorship leads to permanent residency, not a temporary work visa.
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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
Posted Date
30-Jul-2026
Job ID
19527
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. Your skills in AI, predictive modeling, and advanced analytics will help solve complex challenges, scale solutions globally, and fuel innovation across every region. 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 Senior Vice President, Enterprise Data Engineering is responsible for defining and executing MetLife’s enterprise data engineering vision, strategy, and roadmap, ensuring that data platforms, architecture, and infrastructure enable business growth, innovation, operational excellence, and digital transformation across the global enterprise. This role plays a critical part in building scalable, secure, and modern data capabilities that allow MetLife to leverage data as a strategic asset while supporting evolving business, analytics, AI, and technology priorities.
This is an exciting opportunity to lead the transformation of MetLife’s global data ecosystem, shaping the future of enterprise data, analytics, and AI capabilities while delivering the foundational platforms that power innovation and business value at scale.
Key Responsibilities
- Define and execute the enterprise data engineering strategy, leveraging Cloud, AI, and advanced analytics to align with business goals.
- Oversee design and implementation of enterprise-wide data platforms and tools, establishing best practices for data integration, pipelines, architectures, and self-service options.
- Create and execute a comprehensive global data program strategy to simplify and modernize legacy data systems and tools, ensuring data agility, scalability, and quality.
- Work with the security team to implement data privacy, encryption, and access control strategies.
- Incorporate AI and machine learning solutions into the data ecosystem to enhance legacy modernization and data democratization efforts.
- Lead a high-performing team of data professionals, fostering a culture of innovation, collaboration, and continuous improvement.
- Collaborate with Data and Analytics, Technology, and Business leaders to enable seamless data accessibility and utilization.
Required Qualifications
- 20+ years of experience and knowledge in data engineering tools and strategies, including 10+ years in senior leadership roles within large and matrixed organizations.
- Proven ability to navigate complex stakeholders across all levels of the organization and cultivate strong partnerships, being able to influence and communicate the organizations direction and ensure results are achieved.
- Strong knowledge of database management, data architectures and modern data and cloud technologies.
Preferred Qualifications
- Experience leading large-scale cloud data modernization and transformation programs, including migration from legacy environments to modern cloud-native data platforms.
- Experience within insurance, financial services, or other highly regulated industries, with a strong understanding of data security, privacy, risk, and regulatory requirements.
- Demonstrated success leveraging AI, machine learning, and advanced analytics technologies to accelerate data democratization, improve business outcomes, and drive enterprise innovation.
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 300,000 - 375,000. 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!
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.
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
Posted Date
30-Jul-2026
Job ID
19527
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. Your skills in AI, predictive modeling, and advanced analytics will help solve complex challenges, scale solutions globally, and fuel innovation across every region. 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 Senior Vice President, Enterprise Data Engineering is responsible for defining and executing MetLife’s enterprise data engineering vision, strategy, and roadmap, ensuring that data platforms, architecture, and infrastructure enable business growth, innovation, operational excellence, and digital transformation across the global enterprise. This role plays a critical part in building scalable, secure, and modern data capabilities that allow MetLife to leverage data as a strategic asset while supporting evolving business, analytics, AI, and technology priorities.
This is an exciting opportunity to lead the transformation of MetLife’s global data ecosystem, shaping the future of enterprise data, analytics, and AI capabilities while delivering the foundational platforms that power innovation and business value at scale.
Key Responsibilities
- Define and execute the enterprise data engineering strategy, leveraging Cloud, AI, and advanced analytics to align with business goals.
- Oversee design and implementation of enterprise-wide data platforms and tools, establishing best practices for data integration, pipelines, architectures, and self-service options.
- Create and execute a comprehensive global data program strategy to simplify and modernize legacy data systems and tools, ensuring data agility, scalability, and quality.
- Work with the security team to implement data privacy, encryption, and access control strategies.
- Incorporate AI and machine learning solutions into the data ecosystem to enhance legacy modernization and data democratization efforts.
- Lead a high-performing team of data professionals, fostering a culture of innovation, collaboration, and continuous improvement.
- Collaborate with Data and Analytics, Technology, and Business leaders to enable seamless data accessibility and utilization.
Required Qualifications
- 20+ years of experience and knowledge in data engineering tools and strategies, including 10+ years in senior leadership roles within large and matrixed organizations.
- Proven ability to navigate complex stakeholders across all levels of the organization and cultivate strong partnerships, being able to influence and communicate the organizations direction and ensure results are achieved.
- Strong knowledge of database management, data architectures and modern data and cloud technologies.
Preferred Qualifications
- Experience leading large-scale cloud data modernization and transformation programs, including migration from legacy environments to modern cloud-native data platforms.
- Experience within insurance, financial services, or other highly regulated industries, with a strong understanding of data security, privacy, risk, and regulatory requirements.
- Demonstrated success leveraging AI, machine learning, and advanced analytics technologies to accelerate data democratization, improve business outcomes, and drive enterprise innovation.
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 300,000 - 375,000. 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!
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.
See all 273+ Green Card Head Of Engineering Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Head Of Engineering Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship in Head Of Engineering
Verify your degree meets EB-2 requirements
EB-2 requires a U.S. master's degree or foreign equivalent, or a bachelor's plus five progressive years of post-baccalaureate experience. Document each promotion and scope expansion in writing before employers begin your PERM filing.
Target employers with dedicated immigration programs
Large engineering-intensive companies in semiconductors, aerospace, and enterprise software routinely absorb multi-year PERM timelines. Search DOL PERM disclosure data to confirm an employer has filed engineering leadership petitions, not just individual contributor roles.
Search for sponsoring employers on Migrate Mate
Use Migrate Mate to filter Head Of Engineering roles by employers with active green card filing history. Targeting companies that have sponsored similar leadership roles reduces the risk of starting a PERM process with an employer unfamiliar with engineering-level petitions.
Understand how PERM job requirements affect you
The job description filed with DOL for PERM becomes the minimum requirement for the role permanently. If the employer lists specific tech stacks or team-size thresholds, your credentials must match at filing time, not just at hire.
Negotiate filing timeline into your offer stage
PERM recruitment must begin before your I-140 petition, adding months before USCIS adjudication starts. During offer negotiation, confirm the employer's standard timeline from hire to PERM filing initiation and whether they pay attorney and filing fees.
Use O*NET to align your title to DOL classifications
DOL assigns prevailing wages based on occupation codes, not job titles. Cross-reference your role against the O*NET profile for your actual duties, then use the OFLC Wage Search to identify whether your offer meets the Level III or Level IV wage threshold required for senior engineering leadership.
Green Card Head Of Engineering: Frequently Asked Questions
Does a Head Of Engineering role qualify for EB-2 or EB-3 green card sponsorship?
Most Head Of Engineering positions qualify for EB-2 because they require a master's degree or equivalent, which can include a bachelor's plus five years of progressive experience. EB-3 is available when the role requires only a bachelor's degree. Your employer specifies the category when filing the PERM labor certification with DOL.
How does the green card process differ from H-1B sponsorship for this role?
H-1B visa is a temporary work visa with an annual lottery and a six-year base limit. Green card sponsorship through PERM leads to permanent residency with no renewal cycle. There is no lottery for EB-2 or EB-3 petitions. The tradeoff is timeline: PERM, I-140, and adjustment of status together take several years, versus H-1B approval in a few months.
What does the PERM labor certification process require from the employer?
The employer must conduct a DOL-supervised recruitment campaign proving no qualified U.S. workers are available for the role at the prevailing wage. For a Head Of Engineering position, this typically includes print and online advertising, internal posting, and documented review of all applicants. The employer, not you, drives this process and bears the filing costs.
How can I find Head Of Engineering jobs where the employer will sponsor a green card?
Migrate Mate lets you filter engineering leadership roles by employers with documented green card sponsorship history. Many companies sponsor H-1B visas but have never initiated a PERM filing for a leadership position, so filtering by sponsorship type at the search stage saves months of negotiation with employers who aren't set up for it.
Can I switch employers after my I-140 is approved but before I get my green card?
Yes, under AC21 portability rules you can change employers after your I-140 has been approved and your adjustment of status application has been pending for 180 days or more, as long as the new role is in the same or similar occupational classification. For Head Of Engineering, the new role generally needs to remain in engineering management. Consult an immigration attorney before making the move.