Business Intelligence Engineer Jobs in USA with Visa Sponsorship
Business Intelligence Engineers are strong H-1B visa and O-1 visa candidates. The role qualifies as a specialty occupation requiring a bachelor's degree in computer science, information systems, or a related field, and U.S. employers sponsor it at high rates across tech, finance, and healthcare. For detailed occupation requirements, see the O*NET profile.
Find Business Intelligence Engineer JobsOverview
Showing 5 of 5,629+ Business Intelligence Engineer jobs
See all 5,629+ Business Intelligence Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Business Intelligence Engineer roles.
Get Access To All JobsINTRODUCTION
Why Choose Bottomline? Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team!
THE ROLE
The Director, Customer Intelligence & AI is responsible for building and leading the company's customer intelligence and artificial intelligence capabilities, creating a strategic advantage through data-driven insights, predictive analytics, and intelligent automation. This role serves as the intelligence engine of the Revenue Management organization by transforming customer, product, commercial, operational, support, and financial data into actionable insights that drive revenue growth, improve customer retention, and accelerate business performance. The Director will develop a centralized Customer Intelligence Platform that provides a unified view of customer health, value realization, product adoption, retention risk, expansion opportunity, and commercial performance. The role will partner closely with Revenue Strategy & Analytics, Revenue Growth Programs, Renewal Operations & Commercial Optimization, Customer Success, Customer Support, Product, Sales, and Finance to identify opportunities and enable execution.
The Mission is to build the organization's customer intelligence and AI capabilities by transforming customer data into predictive insights that uncover revenue opportunities, improve customer retention, enable intelligent automation, and accelerate sustainable business growth. The ideal candidate combines expertise in data science, AI, machine learning, customer analytics, business intelligence, and commercial strategy with the ability to influence decision-making at the executive level.
KEY RESPONSIBILITIES
Customer Intelligence Strategy & Platform Development:
- Design, build, and maintain a centralized Customer Intelligence Platform.
- Develop a comprehensive Customer 360 environment integrating:
- Product usage data
- Customer Success data
- Customer Support interactions
- CRM activity
- Contract and renewal data
- Financial and billing information
- Customer sentiment and engagement metrics
- Establish governance, quality standards, and ownership for customer intelligence data.
- Create scalable and reusable customer intelligence frameworks supporting the organization's growth objectives.
- Develop customer health, customer value, and customer maturity measurement methodologies.
Revenue Opportunity Identification
- Develop advanced analytical models that identify revenue growth opportunities across the customer lifecycle.
- Create predictive models that surface:
- Expansion opportunities
- Upsell opportunities
- Cross-sell opportunities
- Pricing optimization opportunities
- Customer retention risks
- Revenue leakage
- Build recommendation engines that prioritize the highest-value customer actions.
- Quantify revenue potential and expected business impact for identified opportunities.
- Establish an ongoing pipeline of actionable revenue opportunities for business review and prioritization.
Partner With The Director, Revenue Strategy & Analytics To
- Build predictive revenue and customer behavior models.
- Develop advanced customer segmentation frameworks.
- Improve forecasting accuracy through predictive analytics.
- Identify leading indicators of churn, retention, growth, and customer health.
- Analyze pricing effectiveness and commercial performance.
- Deliver executive insights that support revenue planning and strategic decision-making.
- Transform descriptive reporting into predictive and prescriptive analytics.
Primary Outcome: Enable Revenue Strategy & Analytics to identify, validate, quantify, and prioritize revenue opportunities through data-driven customer intelligence
Partner With The Director, Revenue Growth Programs To
- Translate identified opportunities into executable growth initiatives.
- Prioritize opportunities based on expected revenue impact and likelihood of success.
- Develop business cases supporting strategic investments and growth programs.
- Measure initiative effectiveness and return on investment.
- Monitor execution outcomes and feed learnings back into opportunity identification models.
- Create closed-loop reporting between opportunity identification and program execution.
Primary Outcome: Deliver a continuously refreshed inventory of high-value growth opportunities ready for implementation across the business.
Partner with the Director, Renewal Operations & Commercial Optimization to:
- Develop predictive customer retention and churn models.
- Build renewal risk identification frameworks.
- Support pricing optimization and renewal strategy initiatives.
- Create AI-assisted renewal prioritization and recommendation engines.
- Improve renewal forecasting through predictive analytics.
- Enable automation of renewal workflows and decision-support processes.
Primary Outcome: Improve customer retention, reduce revenue attrition, and increase renewal performance through advanced customer intelligence.
Artificial Intelligence Strategy & Enablement
- Lead evaluation and implementation of AI solutions across Revenue Management and customer-facing functions.
- Identify opportunities to leverage AI to improve customer outcomes, productivity, and decision-making.
- Develop AI-enabled workflows that automate repetitive analysis and operational activities.
- Evaluate emerging AI technologies and their potential business applications.
- Establish AI governance, adoption, and performance measurement frameworks.
- Serve as the organization's subject matter expert on customer intelligence and AI innovation.
Executive Reporting & Business Insights
- Develop executive dashboards, scorecards, and intelligence reporting.
- Present strategic findings and recommendations to senior leadership.
- Translate complex analytical findings into clear, business-focused recommendations.
- Support annual planning, forecasting, operating reviews, and executive decision-making.
- Serve as a trusted advisor on customer trends, commercial opportunities, and AI strategy.
Success Metrics
Customer Intelligence
- Customer Intelligence Platform Adoption
- Customer Data Coverage
- Customer Data Quality
- Customer Health Score Accuracy
- Executive Dashboard Utilization
Revenue Impact
- Revenue Opportunities Identified
- Estimated Revenue Pipeline Generated
- Expansion Opportunity Conversion
- Revenue Leakage Reduction
- Customer Retention Improvement
Predictive Analytics
- Churn Prediction Accuracy
- Customer Health Prediction Accuracy
- Forecast Accuracy Improvement
- Revenue Opportunity Identification Accuracy
AI & Automation
- AI Solution Adoption
- Productivity Improvements
- Automated Decision Support Utilization
- Time Savings Generated Through Automation
Business Impact
- Growth Program ROI
- Customer Retention Improvement
- Executive Stakeholder Satisfaction
- Business Value Created Through Customer Intelligence
QUALIFICATIONS AND SKILLS REQUIRED
- Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, Business, or related field.
- 8+ years of experience in Data Science, Customer Analytics, Business Intelligence, Revenue Analytics, Machine Learning, AI, or related disciplines.
- Experience building predictive models and advanced analytical solutions.
- Strong proficiency with SQL, Python, and modern analytics platforms.
- Experience working with large-scale customer and commercial datasets.
- Proven ability to translate data into strategic business recommendations.
- Strong communication and executive presentation skills.
- Experience influencing cross-functional business leaders.
PREFERRED QUALIFICATIONS AND SKILLS
- Master's degree in Data Science, Analytics, Statistics, Business Analytics, Computer Science, or related field.
- Experience in SaaS, technology, subscription, fintech, or recurring revenue businesses.
- Experience building Customer 360, Customer Intelligence, or Customer Health platforms.
- Experience with Generative AI, Agentic AI, Machine Learning, and predictive analytics solutions.
- Familiarity with CRM, Customer Success, Support, Product Usage, and Revenue Operations systems.
CORE COMPETENCIES
- Customer Intelligence
- Artificial Intelligence Strategy
- Data Science & Machine Learning
- Predictive Analytics
- Revenue Growth Analytics
- Customer Segmentation
- Commercial Analytics
- Business Intelligence
- Executive Storytelling
- Strategic Thinking
- Innovation & Continuous Improvement
- Cross-Functional Leadership
We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.
INTRODUCTION
Why Choose Bottomline? Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team!
THE ROLE
The Director, Customer Intelligence & AI is responsible for building and leading the company's customer intelligence and artificial intelligence capabilities, creating a strategic advantage through data-driven insights, predictive analytics, and intelligent automation. This role serves as the intelligence engine of the Revenue Management organization by transforming customer, product, commercial, operational, support, and financial data into actionable insights that drive revenue growth, improve customer retention, and accelerate business performance. The Director will develop a centralized Customer Intelligence Platform that provides a unified view of customer health, value realization, product adoption, retention risk, expansion opportunity, and commercial performance. The role will partner closely with Revenue Strategy & Analytics, Revenue Growth Programs, Renewal Operations & Commercial Optimization, Customer Success, Customer Support, Product, Sales, and Finance to identify opportunities and enable execution.
The Mission is to build the organization's customer intelligence and AI capabilities by transforming customer data into predictive insights that uncover revenue opportunities, improve customer retention, enable intelligent automation, and accelerate sustainable business growth. The ideal candidate combines expertise in data science, AI, machine learning, customer analytics, business intelligence, and commercial strategy with the ability to influence decision-making at the executive level.
KEY RESPONSIBILITIES
Customer Intelligence Strategy & Platform Development:
- Design, build, and maintain a centralized Customer Intelligence Platform.
- Develop a comprehensive Customer 360 environment integrating:
- Product usage data
- Customer Success data
- Customer Support interactions
- CRM activity
- Contract and renewal data
- Financial and billing information
- Customer sentiment and engagement metrics
- Establish governance, quality standards, and ownership for customer intelligence data.
- Create scalable and reusable customer intelligence frameworks supporting the organization's growth objectives.
- Develop customer health, customer value, and customer maturity measurement methodologies.
Revenue Opportunity Identification
- Develop advanced analytical models that identify revenue growth opportunities across the customer lifecycle.
- Create predictive models that surface:
- Expansion opportunities
- Upsell opportunities
- Cross-sell opportunities
- Pricing optimization opportunities
- Customer retention risks
- Revenue leakage
- Build recommendation engines that prioritize the highest-value customer actions.
- Quantify revenue potential and expected business impact for identified opportunities.
- Establish an ongoing pipeline of actionable revenue opportunities for business review and prioritization.
Partner With The Director, Revenue Strategy & Analytics To
- Build predictive revenue and customer behavior models.
- Develop advanced customer segmentation frameworks.
- Improve forecasting accuracy through predictive analytics.
- Identify leading indicators of churn, retention, growth, and customer health.
- Analyze pricing effectiveness and commercial performance.
- Deliver executive insights that support revenue planning and strategic decision-making.
- Transform descriptive reporting into predictive and prescriptive analytics.
Primary Outcome: Enable Revenue Strategy & Analytics to identify, validate, quantify, and prioritize revenue opportunities through data-driven customer intelligence
Partner With The Director, Revenue Growth Programs To
- Translate identified opportunities into executable growth initiatives.
- Prioritize opportunities based on expected revenue impact and likelihood of success.
- Develop business cases supporting strategic investments and growth programs.
- Measure initiative effectiveness and return on investment.
- Monitor execution outcomes and feed learnings back into opportunity identification models.
- Create closed-loop reporting between opportunity identification and program execution.
Primary Outcome: Deliver a continuously refreshed inventory of high-value growth opportunities ready for implementation across the business.
Partner with the Director, Renewal Operations & Commercial Optimization to:
- Develop predictive customer retention and churn models.
- Build renewal risk identification frameworks.
- Support pricing optimization and renewal strategy initiatives.
- Create AI-assisted renewal prioritization and recommendation engines.
- Improve renewal forecasting through predictive analytics.
- Enable automation of renewal workflows and decision-support processes.
Primary Outcome: Improve customer retention, reduce revenue attrition, and increase renewal performance through advanced customer intelligence.
Artificial Intelligence Strategy & Enablement
- Lead evaluation and implementation of AI solutions across Revenue Management and customer-facing functions.
- Identify opportunities to leverage AI to improve customer outcomes, productivity, and decision-making.
- Develop AI-enabled workflows that automate repetitive analysis and operational activities.
- Evaluate emerging AI technologies and their potential business applications.
- Establish AI governance, adoption, and performance measurement frameworks.
- Serve as the organization's subject matter expert on customer intelligence and AI innovation.
Executive Reporting & Business Insights
- Develop executive dashboards, scorecards, and intelligence reporting.
- Present strategic findings and recommendations to senior leadership.
- Translate complex analytical findings into clear, business-focused recommendations.
- Support annual planning, forecasting, operating reviews, and executive decision-making.
- Serve as a trusted advisor on customer trends, commercial opportunities, and AI strategy.
Success Metrics
Customer Intelligence
- Customer Intelligence Platform Adoption
- Customer Data Coverage
- Customer Data Quality
- Customer Health Score Accuracy
- Executive Dashboard Utilization
Revenue Impact
- Revenue Opportunities Identified
- Estimated Revenue Pipeline Generated
- Expansion Opportunity Conversion
- Revenue Leakage Reduction
- Customer Retention Improvement
Predictive Analytics
- Churn Prediction Accuracy
- Customer Health Prediction Accuracy
- Forecast Accuracy Improvement
- Revenue Opportunity Identification Accuracy
AI & Automation
- AI Solution Adoption
- Productivity Improvements
- Automated Decision Support Utilization
- Time Savings Generated Through Automation
Business Impact
- Growth Program ROI
- Customer Retention Improvement
- Executive Stakeholder Satisfaction
- Business Value Created Through Customer Intelligence
QUALIFICATIONS AND SKILLS REQUIRED
- Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, Business, or related field.
- 8+ years of experience in Data Science, Customer Analytics, Business Intelligence, Revenue Analytics, Machine Learning, AI, or related disciplines.
- Experience building predictive models and advanced analytical solutions.
- Strong proficiency with SQL, Python, and modern analytics platforms.
- Experience working with large-scale customer and commercial datasets.
- Proven ability to translate data into strategic business recommendations.
- Strong communication and executive presentation skills.
- Experience influencing cross-functional business leaders.
PREFERRED QUALIFICATIONS AND SKILLS
- Master's degree in Data Science, Analytics, Statistics, Business Analytics, Computer Science, or related field.
- Experience in SaaS, technology, subscription, fintech, or recurring revenue businesses.
- Experience building Customer 360, Customer Intelligence, or Customer Health platforms.
- Experience with Generative AI, Agentic AI, Machine Learning, and predictive analytics solutions.
- Familiarity with CRM, Customer Success, Support, Product Usage, and Revenue Operations systems.
CORE COMPETENCIES
- Customer Intelligence
- Artificial Intelligence Strategy
- Data Science & Machine Learning
- Predictive Analytics
- Revenue Growth Analytics
- Customer Segmentation
- Commercial Analytics
- Business Intelligence
- Executive Storytelling
- Strategic Thinking
- Innovation & Continuous Improvement
- Cross-Functional Leadership
We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.
See all 5,629+ Business Intelligence Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Business Intelligence Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Business Intelligence Engineer
Target employers with an active LCA history
Employers who have filed Labor Condition Applications for BI Engineer roles before are far more likely to sponsor again. Prioritize companies with a track record of H-1B visa filings in data and analytics functions specifically.
Align your degree to the role explicitly
H-1B specialty occupation requires a degree directly related to the position. A degree in computer science, information systems, statistics, or engineering maps cleanly. A general business degree alone may require additional documentation to support the petition.
Emphasize tool depth, not breadth
Employers sponsoring BI Engineers want specialists. Deep expertise in SQL, Snowflake, dbt, Tableau, or Power BI signals specialized knowledge that strengthens the specialty occupation argument and differentiates you from generalist candidates.
Apply before the H-1B lottery window closes
H-1B registrations open in March each year. If you need cap-subject sponsorship, have an offer in place by February so your employer can file on time. Missing the window means waiting another full year.
Flag cap-exempt employers early in your search
Universities, nonprofit research institutions, and government-affiliated entities are cap-exempt. BI Engineers at these organizations can receive H-1B sponsorship any time of year, bypassing the lottery entirely, which matters if you missed the annual window.
Quantify business impact in your resume and interviews
Sponsoring employers need to justify the petition. Concrete outcomes like reduced reporting time, revenue attributed to dashboards, or cost savings from data pipeline improvements make the case that the role requires specialized knowledge and delivers measurable value.
Frequently Asked Questions
Does a Business Intelligence Engineer role qualify for H-1B sponsorship?
Yes. Business Intelligence Engineer is a well-established specialty occupation under USCIS guidelines. The role requires theoretical and practical application of highly specialized knowledge, typically grounded in a bachelor's degree or higher in computer science, information systems, mathematics, or a related technical field. USCIS has a strong approval history for this job title, particularly when the petition clearly ties the degree requirement to the specific technical responsibilities of the role.
What degree do I need for an employer to sponsor my H-1B as a BI Engineer?
A bachelor's degree or higher in computer science, information systems, statistics, engineering, or a closely related quantitative field is the standard requirement. A general business or liberal arts degree alone is unlikely to support the specialty occupation standard without supplemental documentation. If your degree field doesn't align directly, relevant graduate coursework or an advanced degree in a technical discipline can help bridge the gap.
How do I find employers actively sponsoring Business Intelligence Engineers?
Migrate Mate is built specifically for this search. It aggregates visa-sponsoring employers hiring BI Engineers, so you're not sifting through listings from companies that won't sponsor. Filtering by sponsorship history saves significant time compared to applying broadly and discovering visa limitations late in the process.
Are there visa options other than H-1B for BI Engineers?
Yes. Australians can apply for the E-3 visa, which has no lottery and a 10,500 annual cap that has never been reached. Canadians and Mexicans may qualify for TN visa status under the USMCA. Those with extraordinary ability or exceptional recognition in the data field may qualify for the O-1A. Each path has different sponsorship mechanics, processing times, and employer filing obligations.
Do startups and smaller companies sponsor BI Engineers, or is this mainly large employers?
Both sponsor, but with meaningful differences. Large employers like financial institutions, healthcare systems, and major tech firms have established immigration processes and higher petition volumes. Smaller companies and startups can and do sponsor, but they may be doing it for the first time, which can mean slower processes and less institutional knowledge. Companies that have filed LCAs for data roles before are generally the safer bet regardless of size.
What is the prevailing wage requirement for sponsored 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.