Senior Business Intelligence Analyst Jobs in USA with Visa Sponsorship
Senior Business Intelligence Analyst roles attract H-1B visa sponsorship from employers across finance, healthcare, and tech, industries that consistently file LCAs for data and analytics positions. Most require a bachelor's or master's degree in a quantitative field to qualify as a specialty occupation. For detailed occupation requirements, see the O*NET profile.
Find Senior Business Intelligence Analyst JobsOverview
Showing 5 of 6,223+ Senior Business Intelligence Analyst jobs
See all 6,223+ Senior Business Intelligence Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Business Intelligence Analyst roles.
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 6,223+ Senior Business Intelligence Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Business Intelligence Analyst roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Business Intelligence Analyst
Target industries with strong LCA filing histories
Finance, healthcare, retail, and enterprise tech companies file Labor Condition Applications for BI Analyst roles at high rates. Focusing your search on these sectors meaningfully increases your chances of finding an employer willing to sponsor.
Lead with your technical stack in applications
Employers sponsoring H-1B visas need to justify a specialty occupation. Highlighting tools like SQL, Tableau, Power BI, or Python signals the specialized expertise USCIS looks for when evaluating whether a role qualifies for sponsorship.
Prioritize employers with cap-exempt or prior sponsorship records
Companies that have sponsored H-1B visas before understand the process and are far less likely to withdraw an offer mid-application. DOL LCA disclosure data reveals which employers have filed for BI roles historically.
Confirm your degree field aligns with the role
USCIS expects a direct connection between your degree and the BI Analyst position. Degrees in computer science, information systems, statistics, or mathematics are the strongest match. Unrelated degrees may require additional documentation to establish qualification.
Ask about sponsorship policy before the final interview stage
Raising sponsorship early filters out employers who won't proceed, saving weeks of effort. Frame it as a logistics question, most hiring managers appreciate the directness, and it sets clear expectations before an offer is extended.
Use Migrate Mate to find roles already open to sponsorship
Migrate Mate surfaces BI Analyst positions from employers actively open to visa sponsorship, cutting out the filtering process. Browsing there lets you focus your energy on companies already willing to support your H-1B application.
Frequently Asked Questions
Does a Senior Business Intelligence Analyst role qualify as an H-1B specialty occupation?
Yes, Senior Business Intelligence Analyst positions consistently qualify as H-1B visa specialty occupations. USCIS requires the role to normally require a bachelor's degree or higher in a specific field, BI roles tied to computer science, information systems, statistics, or applied mathematics meet this standard. Roles framed as general management or that list a degree as preferred rather than required can face challenges, so the job description wording matters.
What degree do I need to get H-1B sponsorship as a Business Intelligence Analyst?
A bachelor's degree in computer science, information systems, statistics, mathematics, or a closely related quantitative field is the strongest foundation. A degree in business may work if the role is analytically intensive and the employer can document the degree requirement. USCIS evaluates the connection between your specific degree and the duties of the role, so mismatched fields, even with years of experience, can complicate the petition.
Which employers are most likely to sponsor H-1B visas for BI Analyst roles?
Large employers in financial services, healthcare systems, enterprise software, retail, and consulting sponsor BI Analyst positions at the highest rates. Companies like major banks, hospital networks, and technology firms regularly file LCAs for data and analytics roles. Smaller companies sponsor less frequently, not because they're unwilling, but because the legal and administrative overhead is harder to absorb. Migrate Mate filters specifically for employers open to sponsorship in this field.
How does H-1B lottery selection affect my chances as a BI Analyst?
Selection depends entirely on the lottery, not the role. USCIS runs a random selection from the roughly 85,000 cap-subject slots available each fiscal year. Having a strong BI background improves your petition's approvability once selected, but doesn't affect lottery odds. Applicants with a U.S. master's degree get a second selection chance in the advanced degree pool before the general pool draw, which modestly improves overall selection probability.
Can I switch employers on an H-1B as a Senior BI Analyst?
Yes. H-1B portability lets you start working for a new employer as soon as they file a new H-1B petition on your behalf, without waiting for approval. The new petition must be filed before your current authorized stay expires. Your new employer takes on the LCA and sponsorship obligations for the new role, and the job duties must still qualify as a specialty occupation. Most BI Analyst roles at comparable seniority levels transfer cleanly under this process.
What is the prevailing wage requirement for sponsored Senior Business Intelligence Analyst 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.