Business Intelligence Lead Jobs in USA with Visa Sponsorship
Business Intelligence Leads are strong H-1B visa and E-3 visa candidates. The role qualifies as a specialty occupation requiring a degree in computer science, information systems, or a related field, and employers in finance, tech, and healthcare sponsor regularly. For detailed occupation requirements, see the O*NET profile.
Find Business Intelligence Lead JobsOverview
Showing 5 of 3,904+ Business Intelligence Lead jobs
See all 3,904+ Business Intelligence Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Business Intelligence Lead roles.
Get Access To All JobsWhere Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you'll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Job Overview:
We are seeking a senior technology professional to help define and execute the strategy for enterprise Data Engineering and Data Platform capabilities. This individual contributor role will drive the evolution of scalable, secure, and modern data platforms that support analytics, business intelligence, artificial intelligence, and data-driven decision making across the enterprise. The role is focused on Data Engineering, Data Platform Architecture, and Data Platform Modernization, with responsibility for advancing cloud-based data ecosystems, platform reliability, governance, and engineering excellence.
Responsibilities:
- Define and execute strategic initiatives that advance enterprise data platform and data engineering capabilities.
- Design and implement scalable data platform architectures supporting analytics, reporting, AI, and business intelligence workloads.
- Lead modernization efforts across cloud data platforms, data warehouses, data lakes, and lakehouse environments.
- Establish and advance data mesh capabilities to improve data accessibility, ownership, and scalability across business domains.
- Partner with Enterprise Architecture, Security, Infrastructure, Product, and business stakeholders to align technology solutions with organizational priorities.
- Improve platform scalability, reliability, governance, security, observability, and operational effectiveness.
- Build and evolve enterprise ETL/ELT frameworks and data processing pipelines.
- Drive automation, Infrastructure as Code, CI/CD practices, and engineering efficiency improvements.
- Evaluate and implement AI-enabled engineering practices and emerging technologies that enhance platform operations and development productivity.
What Are We Looking For?
We are looking for a technology professional who is motivated to pursue greatness, act with integrity, and is driven to help our clients succeed. The ideal candidate collaborates effectively across technical and business teams, seeks opportunities to win together, and contributes to a culture that helps create and share joy while delivering innovative, enterprise-scale data solutions.
Requirements
- 12+ years of technology experience with enterprise software, data engineering, or platform engineering environments.
- Proven experience designing, building, and supporting enterprise Data Engineering and Data Platform solutions.
- Experience designing and scaling modern data ecosystems supporting enterprise analytics and reporting capabilities.
- Experience with enterprise data platforms, data warehouses, data lakes, lakehouse architectures, data mesh frameworks, ETL/ELT pipelines, and data governance programs.
- Experience modernizing enterprise data architectures and supporting cloud transformation initiatives.
Preferences:
- Strong AWS experience and hands-on knowledge of Snowflake, DBT, Terraform, Python, PostgreSQL, CI/CD practices, and Infrastructure as Code (IaC).
- Experience improving platform reliability, scalability, governance, and operational maturity.
- Experience implementing Data Mesh and Lakehouse strategies at enterprise scale.
- Familiarity with AI-assisted engineering tools such as Cursor, GitHub Copilot, or similar technologies.
- Experience applying AI capabilities within engineering organizations to improve delivery quality, operational efficiency, and engineering productivity.
Pay Range:
$155,300.00 - $258,800.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.
Where Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you'll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Job Overview:
We are seeking a senior technology professional to help define and execute the strategy for enterprise Data Engineering and Data Platform capabilities. This individual contributor role will drive the evolution of scalable, secure, and modern data platforms that support analytics, business intelligence, artificial intelligence, and data-driven decision making across the enterprise. The role is focused on Data Engineering, Data Platform Architecture, and Data Platform Modernization, with responsibility for advancing cloud-based data ecosystems, platform reliability, governance, and engineering excellence.
Responsibilities:
- Define and execute strategic initiatives that advance enterprise data platform and data engineering capabilities.
- Design and implement scalable data platform architectures supporting analytics, reporting, AI, and business intelligence workloads.
- Lead modernization efforts across cloud data platforms, data warehouses, data lakes, and lakehouse environments.
- Establish and advance data mesh capabilities to improve data accessibility, ownership, and scalability across business domains.
- Partner with Enterprise Architecture, Security, Infrastructure, Product, and business stakeholders to align technology solutions with organizational priorities.
- Improve platform scalability, reliability, governance, security, observability, and operational effectiveness.
- Build and evolve enterprise ETL/ELT frameworks and data processing pipelines.
- Drive automation, Infrastructure as Code, CI/CD practices, and engineering efficiency improvements.
- Evaluate and implement AI-enabled engineering practices and emerging technologies that enhance platform operations and development productivity.
What Are We Looking For?
We are looking for a technology professional who is motivated to pursue greatness, act with integrity, and is driven to help our clients succeed. The ideal candidate collaborates effectively across technical and business teams, seeks opportunities to win together, and contributes to a culture that helps create and share joy while delivering innovative, enterprise-scale data solutions.
Requirements
- 12+ years of technology experience with enterprise software, data engineering, or platform engineering environments.
- Proven experience designing, building, and supporting enterprise Data Engineering and Data Platform solutions.
- Experience designing and scaling modern data ecosystems supporting enterprise analytics and reporting capabilities.
- Experience with enterprise data platforms, data warehouses, data lakes, lakehouse architectures, data mesh frameworks, ETL/ELT pipelines, and data governance programs.
- Experience modernizing enterprise data architectures and supporting cloud transformation initiatives.
Preferences:
- Strong AWS experience and hands-on knowledge of Snowflake, DBT, Terraform, Python, PostgreSQL, CI/CD practices, and Infrastructure as Code (IaC).
- Experience improving platform reliability, scalability, governance, and operational maturity.
- Experience implementing Data Mesh and Lakehouse strategies at enterprise scale.
- Familiarity with AI-assisted engineering tools such as Cursor, GitHub Copilot, or similar technologies.
- Experience applying AI capabilities within engineering organizations to improve delivery quality, operational efficiency, and engineering productivity.
Pay Range:
$155,300.00 - $258,800.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.
See all 3,904+ Business Intelligence Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Business Intelligence Lead roles.
Get Access To All JobsTips for Finding Business Intelligence Lead Jobs
Frame your degree as field-specific
H-1B approval for BI roles hinges on proving the job requires a degree in a specific field. Emphasize that your computer science, data science, or information systems degree directly underpins the technical work, not just general business analysis.
Target industries with high sponsorship rates
Finance, healthcare, and enterprise software companies sponsor BI Leads most consistently. These industries rely on proprietary data infrastructure and have compliance requirements that make experienced BI professionals difficult to replace with domestic hires alone.
Quantify the scope of your data work
USCIS scrutinizes BI roles harder than pure engineering titles. Show the scale clearly: pipelines built, dashboards serving how many stakeholders, revenue decisions informed by your work. Concrete scope makes the specialty occupation argument harder to dispute.
Separate leadership duties from technical ones
A BI Lead role blends management and deep technical work. In your resume and LCA documentation, make the technical complexity the lead narrative. General team leadership alone does not satisfy specialty occupation requirements under H-1B standards.
Confirm the employer has sponsored before
Before investing heavily in an application, verify the company has a history of H-1B or E-3 filings. Employers new to sponsorship often underestimate the process timeline and cost, which can delay or derail your start date significantly.
Use Migrate Mate to find verified sponsoring employers
Migrate Mate filters jobs by visa sponsorship availability, so you're only seeing BI Lead roles from employers who have filed before. This removes the guesswork of cold-applying to companies that have never sponsored a work visa.
Frequently Asked Questions
Does a Business Intelligence Lead role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS expects the position to require a bachelor's degree or higher in a specific field like computer science, data science, or information systems. Roles that mix BI work with general management can face pushback, so the petition should emphasize technical complexity over leadership responsibilities.
What degree fields best support a BI Lead sponsorship petition?
Computer science, information systems, data science, and statistics are the strongest degree fields for supporting a BI Lead H-1B visa petition. Business administration degrees can work if the job involves substantial quantitative or technical work, but they carry more risk of an RFE. Engineering and mathematics degrees also hold up well depending on the specific role.
How often do H-1B petitions for Business Intelligence roles get approved?
Approval rates for BI and data-related specialty occupation roles are generally solid, though USCIS issues Requests for Evidence more frequently when job descriptions blend analytical and managerial duties. Petitions that clearly document the technical degree requirement and day-to-day technical work tend to clear without RFEs. Attorney-drafted petitions with detailed job duty breakdowns perform meaningfully better.
Can Australian citizens use the E-3 visa for Business Intelligence Lead roles?
Yes. The E-3 visa is available to Australian citizens in specialty occupations, and BI Lead roles qualify under the same standards as H-1B. The process is faster and cheaper than H-1B, with no lottery. The employer still needs to file a Labor Condition Application, and you'll interview at an Australian consulate before starting work.
Where can I find Business Intelligence Lead jobs that offer visa sponsorship?
Migrate Mate lists BI Lead roles specifically from employers with verified sponsorship histories, so you're not guessing which companies will actually file a petition. Filtering by sponsorship type lets you prioritize H-1B or E-3 opportunities based on your visa situation, which saves significant time during a job search with a hard immigration deadline.
What is the prevailing wage requirement for sponsored Business Intelligence Lead 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.