Senior Business Intelligence Engineer Jobs in USA with Visa Sponsorship
Senior Business Intelligence Engineers are among the stronger candidates for H-1B visa and O-1 visa sponsorship. The role qualifies as a specialty occupation, requiring a bachelor's degree or higher in computer science, information systems, or a related field, and mid-to-large tech and finance employers sponsor regularly. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Edmund Optics is seeking a Senior Director of Artificial Intelligence to lead the strategy, development, and deployment of AI initiatives across the organization. This role will define the enterprise AI roadmap, and build and mentor a high-performing team. This role will partner with the continuous improvement team to determine areas within the organization that can benefit the most from AI, as well as working with the analytics team on the development and rollout of AI-driven solutions for Edmund Optics. This role will partner with engineering, manufacturing, sales, and IT leadership to embed AI into core business processes. The ideal candidate combines deep technical expertise with strong business acumen and the ability to translate AI capabilities into measurable value for a global optics and photonics manufacturer.
Responsibilities
- Strategy & Vision: Define and drive the company-wide AI strategy, identifying high-impact opportunities across manufacturing, HR, quality control, supply chain, R&D, sales, and customer service.
- Leadership & Team Building: Recruit, develop, and lead a team of new to industry AI designers and project managers to implement major AI projects. Work with the analytics team to establish best practices for model development, deployment, and governance. Move towards a hub-and-spoke operating model, with a centralized team of specialists defining standards and practices while working closely with embedded teams across the business.
- Cross-Functional Partnership: Collaborate with continuous improvement and with major functional areas such as optical engineering, manufacturing operations, IT, and commercial teams to identify use cases for advancement (e.g., computer vision for defect detection, predictive maintenance, generative AI for design/quoting tools, customer-facing chat/support tools).
- Solution Delivery: Be accountable for the full lifecycle of AI projects — from proof of concept through production deployment and monitoring — ensuring scalability, reliability, and ROI.
- Data Infrastructure: Partner with IT, analytics, and cybersecurity to ensure the organization has the data pipelines, infrastructure, and governance needed to support AI initiatives.
- Innovation & Emerging Tech: Stay current on advances in AI (including large language models, computer vision, generative AI, agentic AI, and industrial AI applications) and assess applicability to optics manufacturing and photonics R&D.
- Responsible AI & Governance: Establish policies for data privacy, model risk, security, and ethical use of AI across the enterprise.
- Executive Communication: Report to senior leadership on AI initiative progress, business impact, budget, and risk; build the business case for continued AI investment.
- Vendor & Partnership Management: Evaluate and manage relationships with AI technology vendors, cloud providers, and external research partners.
BASIC QUALIFICATIONS
To perform this position successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable Accommodations may be made to enable individuals with disabilities to perform the essential functions.
Required Skills & Abilities
- Proven track record of deploying AI and/or ML solutions at scale in a manufacturing, industrial, or engineering-driven environment.
- Strong knowledge of machine learning, computer vision, agentic AI, and/or generative AI techniques and their practical business applications.
- Strong change management skills, especially implementing AI solutions in major functional areas of a large organization.
- Experience building and leading technical teams.
- Excellent communication skills with the ability to translate technical concepts for non-technical executive stakeholders.
- Experience managing budgets and demonstrating ROI on technology investments.
- Comply with federal, state, and company policies, procedures, and regulations.
Education/Experience
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field (Master's or PhD preferred).
- 5+ years of experience in AI, ML, data science, or related technical fields, with 5+ years in a leadership role adjacent to AI (computer science, engineering, data analytics or other related fields).
PREFERRED QUALIFICATIONS
- Experience in optics, photonics, precision manufacturing, or a related technical industry.
- Experience with cloud AI or ML platforms, especially agentic AI tools.
- Experience with AI data platforms, especially Snowflake.
Physical Requirements
Ability to operate office equipment such as a copier; ability to see details at a close range; ability to sit at desk or PC for long periods of time; work in office setting.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Think you meet some of the requirements but not all? Studies have shown that women and people of color are less likely to apply to jobs for which they do not meet every qualification. If you see a role that interests you, we encourage you to apply, regardless of whether or not your experience is completely aligned with the job description. Edmund Optics is committed to becoming the most diverse, equitable, and inclusive workplace within the Optics and Photonics Industry and beyond. You may be a great candidate for this role or others within Edmund Optics.
COMPENSATION RANGE TRANSPARENCY
At Edmund Optics, we are committed to transparency and equity in our hiring practices. The posted salary range for this role reflects the expected base pay. The actual offer will be based on multiple factors, including but not limited to relevant skills, education, work experience, business needs, and geographic location.
Salary Range:
$190,000 - $235,000 per year
BENEFITS:
- Medical, Dental, and Vision Insurance
- Life, AD&D, Short and Long-Term Disability Insurance
- Generous Paid Time Off (PTO)
- Tuition Reimbursement
- 401(k) Retirement Plan with Company Match up to 3%
- Daycare and Gym Reimbursement
- Paid Parental Leave and New Mother Benefits
- Training and Development Opportunities
Availability of these benefits may depend on the country and employment type.
INTRODUCTION
Edmund Optics is seeking a Senior Director of Artificial Intelligence to lead the strategy, development, and deployment of AI initiatives across the organization. This role will define the enterprise AI roadmap, and build and mentor a high-performing team. This role will partner with the continuous improvement team to determine areas within the organization that can benefit the most from AI, as well as working with the analytics team on the development and rollout of AI-driven solutions for Edmund Optics. This role will partner with engineering, manufacturing, sales, and IT leadership to embed AI into core business processes. The ideal candidate combines deep technical expertise with strong business acumen and the ability to translate AI capabilities into measurable value for a global optics and photonics manufacturer.
Responsibilities
- Strategy & Vision: Define and drive the company-wide AI strategy, identifying high-impact opportunities across manufacturing, HR, quality control, supply chain, R&D, sales, and customer service.
- Leadership & Team Building: Recruit, develop, and lead a team of new to industry AI designers and project managers to implement major AI projects. Work with the analytics team to establish best practices for model development, deployment, and governance. Move towards a hub-and-spoke operating model, with a centralized team of specialists defining standards and practices while working closely with embedded teams across the business.
- Cross-Functional Partnership: Collaborate with continuous improvement and with major functional areas such as optical engineering, manufacturing operations, IT, and commercial teams to identify use cases for advancement (e.g., computer vision for defect detection, predictive maintenance, generative AI for design/quoting tools, customer-facing chat/support tools).
- Solution Delivery: Be accountable for the full lifecycle of AI projects — from proof of concept through production deployment and monitoring — ensuring scalability, reliability, and ROI.
- Data Infrastructure: Partner with IT, analytics, and cybersecurity to ensure the organization has the data pipelines, infrastructure, and governance needed to support AI initiatives.
- Innovation & Emerging Tech: Stay current on advances in AI (including large language models, computer vision, generative AI, agentic AI, and industrial AI applications) and assess applicability to optics manufacturing and photonics R&D.
- Responsible AI & Governance: Establish policies for data privacy, model risk, security, and ethical use of AI across the enterprise.
- Executive Communication: Report to senior leadership on AI initiative progress, business impact, budget, and risk; build the business case for continued AI investment.
- Vendor & Partnership Management: Evaluate and manage relationships with AI technology vendors, cloud providers, and external research partners.
BASIC QUALIFICATIONS
To perform this position successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable Accommodations may be made to enable individuals with disabilities to perform the essential functions.
Required Skills & Abilities
- Proven track record of deploying AI and/or ML solutions at scale in a manufacturing, industrial, or engineering-driven environment.
- Strong knowledge of machine learning, computer vision, agentic AI, and/or generative AI techniques and their practical business applications.
- Strong change management skills, especially implementing AI solutions in major functional areas of a large organization.
- Experience building and leading technical teams.
- Excellent communication skills with the ability to translate technical concepts for non-technical executive stakeholders.
- Experience managing budgets and demonstrating ROI on technology investments.
- Comply with federal, state, and company policies, procedures, and regulations.
Education/Experience
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field (Master's or PhD preferred).
- 5+ years of experience in AI, ML, data science, or related technical fields, with 5+ years in a leadership role adjacent to AI (computer science, engineering, data analytics or other related fields).
PREFERRED QUALIFICATIONS
- Experience in optics, photonics, precision manufacturing, or a related technical industry.
- Experience with cloud AI or ML platforms, especially agentic AI tools.
- Experience with AI data platforms, especially Snowflake.
Physical Requirements
Ability to operate office equipment such as a copier; ability to see details at a close range; ability to sit at desk or PC for long periods of time; work in office setting.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Think you meet some of the requirements but not all? Studies have shown that women and people of color are less likely to apply to jobs for which they do not meet every qualification. If you see a role that interests you, we encourage you to apply, regardless of whether or not your experience is completely aligned with the job description. Edmund Optics is committed to becoming the most diverse, equitable, and inclusive workplace within the Optics and Photonics Industry and beyond. You may be a great candidate for this role or others within Edmund Optics.
COMPENSATION RANGE TRANSPARENCY
At Edmund Optics, we are committed to transparency and equity in our hiring practices. The posted salary range for this role reflects the expected base pay. The actual offer will be based on multiple factors, including but not limited to relevant skills, education, work experience, business needs, and geographic location.
Salary Range:
$190,000 - $235,000 per year
BENEFITS:
- Medical, Dental, and Vision Insurance
- Life, AD&D, Short and Long-Term Disability Insurance
- Generous Paid Time Off (PTO)
- Tuition Reimbursement
- 401(k) Retirement Plan with Company Match up to 3%
- Daycare and Gym Reimbursement
- Paid Parental Leave and New Mother Benefits
- Training and Development Opportunities
Availability of these benefits may depend on the country and employment type.
See all 2,653+ Senior Business Intelligence Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Business Intelligence Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Business Intelligence Engineer
Target employers with a history of BI sponsorship
Companies like Amazon, Microsoft, and major financial institutions file LCAs for BI roles regularly. Filtering by employers with consistent H-1B filing history narrows your search to sponsors most likely to move quickly on a qualified candidate.
Align your degree to the role's technical requirements
USCIS expects a direct relationship between your degree field and the position. Computer science, information systems, statistics, or engineering degrees are the strongest fits. A business degree alone may face scrutiny unless paired with relevant technical coursework.
Document your tool stack and technical specialization clearly
Proficiency in SQL, Python, dbt, Tableau, or Looker signals a specialized role rather than a general analyst position. The more technically specific your resume, the stronger the specialty occupation argument your employer can make to USCIS.
Expect the employer to lead the H-1B process
For H-1B sponsorship, the employer files the petition and pays filing fees. Your role is to provide education credentials, employment history, and supporting documents promptly. Delays on your end can push filing past cap deadlines or premium processing windows.
Understand where your experience sits in the prevailing wage tiers
DOL wage levels for Senior BI Engineers vary by metro area and experience. Senior-level roles typically map to Level III or IV. Employers file the LCA before your visa application, certifying the offered wage meets the prevailing standard for your location.
Use Migrate Mate to target sponsorship-ready BI roles
Not every BI job listing mentions visa sponsorship, but many employers who file H-1B petitions do so consistently. Migrate Mate surfaces roles from employers with active sponsorship histories, so you spend less time on dead ends.
Frequently Asked Questions
Does a Senior Business Intelligence Engineer role qualify for H-1B sponsorship?
Yes. Senior BI Engineer roles qualify as specialty occupations under H-1B visa criteria because they require at least a bachelor's degree in a specific technical field like computer science, information systems, or statistics. USCIS has approved H-1B petitions for BI roles consistently, particularly when the job description emphasizes technical skills like data modeling, SQL, and pipeline development over general business analysis.
What degree do I need for an employer to sponsor my visa as a Senior BI Engineer?
A bachelor's degree or higher in computer science, information systems, statistics, or a closely related technical field is the standard requirement. Degrees in business analytics may qualify if the curriculum was quantitatively rigorous. A general business or humanities degree without a strong technical component makes specialty occupation approval harder, though relevant graduate degrees or demonstrated equivalency through experience can help.
Can I get sponsored for an O-1A visa as a Senior Business Intelligence Engineer?
It's possible but less common than H-1B. The O-1A requires evidence of extraordinary ability, such as published work, peer recognition, speaking at industry conferences, or a record of high compensation relative to peers. Senior BI engineers at major tech firms who have led large-scale data infrastructure projects or received industry recognition are the strongest candidates. Standard senior-level experience alone is unlikely to meet the threshold.
How do I find Senior Business Intelligence Engineer jobs that offer H-1B sponsorship?
Most job listings don't explicitly state whether H-1B sponsorship is available, which makes filtering difficult on general platforms. Migrate Mate indexes roles from employers with documented H-1B filing histories, so you can prioritize applications to companies that have sponsored similar roles before. This is significantly more efficient than applying broadly and asking about sponsorship during screening calls.
Do senior-level BI roles face more or less H-1B scrutiny than junior analyst roles?
Generally less. Senior roles with specific technical requirements, clear degree prerequisites, and higher wage levels map cleanly to USCIS specialty occupation criteria. Junior or generalist analyst roles sometimes face RFEs because the job description can appear to accept any degree field. A well-documented senior BI role with explicit technical requirements and a Level III or IV DOL wage designation tends to produce fewer challenges.
What is the prevailing wage requirement for sponsored Senior Business Intelligence Engineer 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.