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
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 2,384+ 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.