AI Data Engineer Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest states for AI data engineer visa sponsorship, anchored by a dense cluster of tech, biotech, and financial services employers across Greater Boston, Cambridge, and the Route 128 corridor. Companies like Amazon, Wayfair, Liberty Mutual, and a deep bench of life sciences firms actively hire and sponsor international candidates for these roles.
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Who we are looking for
We are looking for a Vice President, AI Security and Data Protection Governance and Controls reporting directly to the Managing Director, Data Protection. You will establish and oversee the enterprise governance framework for secure and resilient AI and data protection capabilities, translating strategy into policies, standards, controls, risk decisions, and measurable remediation programs. You will partner across Security, Technology, Risk, Compliance, Legal, Procurement, and the business to embed security-by-design, resilient controls, and adaptable technology standards and AI security and data protection requirements across enterprise platforms, applications, and third-party services.
Why this role is important to us
The team you will be joining is part of Global Cybersecurity, a function vital to protecting the confidentiality, integrity, availability, and resilience of the firm’s information and technology environment. This role is critical to preparing the organization for emerging AI, data, and emerging technology risks, reducing long-term security and data protection risk, supporting regulatory and audit readiness, and coordinating a controlled transition to secure and resilient AI and data protection capabilities.
What you will be responsible for
In this role, you will:
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Establish and maintain the enterprise governance framework, policies, standards, decision rights, and accountability model for AI security, data protection, and emerging technology risk.
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Govern the discovery, inventory, classification, and risk assessment of AI models, data assets, security controls, platforms, applications, integrations, and technology dependencies.
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Define risk-based prioritization criteria using data sensitivity, retention period, business criticality, external exposure, and migration complexity, including long-term data exposure and emerging technology risk.
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Design minimum control requirements, testing procedures, evidence standards, exception processes, compensating controls, and remediation expectations across applications, infrastructure, cloud, networks, identity, and data platforms.
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Establish and oversee the enterprise roadmap for transitioning vulnerable security and data protection implementations to approved secure technologies and control solutions, including delivery milestones, control gates, dependencies, and risk escalation.
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Partner with Security Architecture and Engineering to embed AI security and data protection and security-by-design and adaptable control requirements into solution design, architecture reviews, engineering standards, and reusable implementation patterns.
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Define AI security and data protection requirements and due-diligence criteria for third-party products, cloud services, strategic vendors, contracts, and technology evaluations.
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Serve as the subject-matter authority for AI security and data protection governance in engagements with senior leadership, Risk, Compliance, Internal Audit, external auditors, clients, and regulators.
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Establish dashboards, key risk indicators, and performance measures for inventory coverage, AI and data risk exposure, control compliance, exceptions, migration progress, remediation, and residual risk.
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Lead and develop a team responsible for governance, control oversight, risk assessment, program coordination, and cross-functional execution.
What we value
These skills will help you succeed in this role:
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Deep understanding of AI security, data protection, security architecture, governance, risk, and control principles, AI security and data protection, and security-by-design, resilient controls, and adaptable technology standards.
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Ability to translate complex technical and emerging risks into clear policies, standards, controls, investment priorities, and executive decisions.
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Strong governance, technology risk, control design, exception management, and assurance capabilities within a large, regulated organization.
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Proven leadership of complex, cross-functional cybersecurity or technology transformation programs with measurable outcomes and clear accountability.
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Executive communication and influencing skills across Security, Engineering, Infrastructure, Cloud, Application Development, Risk, Legal, Procurement, Audit, and business teams.
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Data-driven, risk-based decision making with strong attention to detail, strategic judgment, and a focus on sustainable risk reduction.
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Commitment to simplification, standardization, collaboration, and scalable governance.
Education & Preferred Qualifications
Degree required: Bachelor’s degree in Information Security, Computer Science, Engineering, Mathematics, AI Security and Data Protection, or a related discipline; advanced degree preferred.
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Years of experience: 10+ years of progressive experience in cybersecurity, AI security, data protection, security architecture, technology risk, or control governance.
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Certifications required or preferred: CISSP, CISM, CRISC, CCSP, cloud security, or comparable industry certifications preferred.
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Knowledge of tools or technologies: Security and Data Protection discovery and inventory capabilities; PKI; certificate and key management; cloud and enterprise security architectures; asset, configuration, governance, risk, and compliance platforms; and reporting or dashboard technologies.
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Additional language requirements: N/A.
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Other qualifications: Experience developing enterprise security policies, standards, and controls; leading cross-functional transformation; engaging vendors; and communicating with executive, audit, regulatory, and non-technical audiences in a large, highly regulated organization.
Additional Requirements
Additional requirements for this role include the ability to coordinate across global teams and time zones, support regulatory and audit engagements as needed, and manage sensitive information in accordance with company requirements. Travel may be required based on business needs.
Work Requirement
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Hybrid Work Requirement: Hybrid, subject to company and location-specific requirements.
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Shift Timings: Standard business hours with flexibility to support global stakeholders and critical program or regulatory needs.
Salary Range:
$120,000 - $202,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
AI Data Engineer Job Roles in Massachusetts
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Search AI Data Engineer Jobs in MassachusettsAI Data Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in Massachusetts?
Large tech and financial services employers based in Massachusetts, including Amazon's Boston offices, Wayfair, Fidelity Investments, Liberty Mutual, and HubSpot, have consistent track records of H-1B visa sponsorship for data and AI engineering roles. The Cambridge and Kendall Square biotech cluster, anchored by companies like Moderna and Biogen, also hires AI data engineers who require sponsorship, making Massachusetts particularly strong for cross-industry candidates.
Which visa types are most common for AI data engineer roles in Massachusetts?
The H-1B is the dominant visa for AI data engineers in Massachusetts, given the role's strong alignment with specialty occupation requirements in computer science and data science. Candidates already holding F-1 OPT or STEM OPT authorization are frequently hired by Massachusetts employers before transitioning to H-1B. Some multinational firms in the Boston area also use L-1B visas for specialized knowledge transfers into their Massachusetts engineering teams.
Which cities in Massachusetts have the most AI data engineer sponsorship jobs?
Boston and Cambridge together account for the large majority of AI data engineer sponsorship opportunities in Massachusetts. Kendall Square in Cambridge is particularly concentrated, hosting major tech, biotech, and AI-focused firms in close proximity. Waltham and Burlington, along the Route 128 technology corridor, represent a secondary cluster with substantial sponsorship activity, especially among financial services firms and established software companies that maintain large engineering operations there.
How to find ai data engineer visa sponsorship jobs in Massachusetts?
Migrate Mate filters job listings specifically by visa sponsorship availability and U.S. state, making it straightforward to browse AI data engineer roles in Massachusetts without sorting through positions that won't support international candidates. Because sponsorship willingness is not always stated in standard job postings, using Migrate Mate's targeted search helps narrow your focus to employers actively open to sponsoring H-1B or OPT workers for these roles in the state.
Are there any state-specific considerations for AI data engineers seeking sponsorship in Massachusetts?
Massachusetts has one of the highest concentrations of university-to-industry pipelines in the country, with MIT, Harvard, Boston University, and Northeastern feeding graduates directly into local AI and data engineering roles. This means competition for sponsored positions is meaningful, but also that many Massachusetts employers have established HR and legal infrastructure for handling H-1B petitions. The state's strong OPT-to-H-1B pipeline means international candidates with local university ties often have a practical advantage when approaching Boston-area employers.
What is the prevailing wage for sponsored ai data engineer jobs in Massachusetts?
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.