E-3 Visa Business Intelligence Lead Jobs
Business Intelligence Lead roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in data analytics, computer science, or a related field. The E-3 has no lottery and no annual cap, so Australian professionals can pursue these roles year-round with employer sponsorship and renew indefinitely.
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Have you ever wanted to solve a mystery or be part of solving a case? Are you fascinated by detective stories or crime shows on TV? Do you love to manage huge volumes of data, have a science background and enjoy solving complex problems?
WWOS Tech is transforming into an AI-first security technology organization, and we're seeking an exceptional Applied Science Manager to anchor this transformation. As the Science & BI Lead, you'll own the enterprise AI/ML roadmap, lead an organization of scientists and BIEs, and deliver production AI and ML models that will generate 1M+ efficiency hours annually.
Key job responsibilities
Lead AI/ML Strategy & Delivery
- Own the enterprise AI/ML roadmap across UNITE (theft detection, investigation automation), PRISM (operational disruption, risk management) and other WWOS Tech products
- Deliver net-new production AI models by EOY 2026 aligned to WWOS SPS goals: reduce theft/fraud loss from 0.30% to 0.19% of GMS and transform incident preparedness from reactive to proactive.
- Establish AI/ML delivery standards: model quality gates, bias detection, responsible AI compliance (Amazon Trust principles, EU AI Act), and production readiness criteria
- Build centralized model registry, shared experimentation platform (SageMaker), and MLOps infrastructure in partnership with Data Engineering
Build & Scale High-Performing Teams
- Lead Science & BI pillar within WWOS Tech: grow Science team over next 18 months, manage 3 BIE managers overseeing BIEs across EESN, Ops Disruption, and Business Reporting teams
- Recruit, onboard, and retain top AI/ML talent in a highly competitive market; develop career paths for Scientists, ML Solutions Architects, and BIEs transitioning to AI-enabled strategic advisors
- Drive AI literacy across all of WWOS organization: 100% AI-trained by EOY 2026 across Technical, Leadership, and Cross-Skill tracks
- Establish operating rhythm: weekly Science pillar sync, bi-weekly cross-pillar integration reviews, monthly AI portfolio health inspections
Partner with Business & Technical Leaders
- Translate ambiguous business problems into AI/ML solutions through direct partnership with field leaders, program vertical leaders, and WWOS senior leadership.
- Represent WWOS Tech in Amazon-wide AI/ML forums: AWS AI partnerships, responsible AI governance, GOS AI forums
Drive Responsible AI & Governance
- Ensure all AI models touching sensitive security data meet Amazon's responsible AI bar and evolving regulatory requirements (GDPR, EU AI Act)
- Implement bias detection, model explainability and human-in-the-loop mechanisms for high-risk applications
- Conduct quarterly AI risk assessments with Legal, InfoSec, and Privacy teams; maintain AI model inventory and compliance dashboard
- Partner with AI Ethics & Governance Specialist to establish enterprise-wide responsible AI frameworks
About the team
We are a team that cares about your work-life balance, while challenging you to solve problems at high scale. You will be part of a strong team in a fast-paced, start-up environment where agile development is embraced and innovation is encouraged. You will get support and resources from some of the smartest people in the industry to continue your personal and professional growth. You'll be joining a fun team that prides itself on a great work environment with an inclusive group of people that loves working together towards a common goal and make history in launching a new strategic service in the industry.
BASIC QUALIFICATIONS
- 10+ years of building large-scale machine learning and AI solutions at Internet scale experience
- Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
PREFERRED QUALIFICATIONS
- 10+ years of practical work applying ML to solve complex problems for large-scale applications experience
- 5+ years of hands-on work in big data, machine learning and predictive modeling experience
- 5+ years of people management experience
- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience working with big data, machine learning and predictive modeling
- Experience in people management
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language
- Experience researching actual applications
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Seattle - 218,800.00 - 295,900.00 USD annually
DESCRIPTION
Have you ever wanted to solve a mystery or be part of solving a case? Are you fascinated by detective stories or crime shows on TV? Do you love to manage huge volumes of data, have a science background and enjoy solving complex problems?
WWOS Tech is transforming into an AI-first security technology organization, and we're seeking an exceptional Applied Science Manager to anchor this transformation. As the Science & BI Lead, you'll own the enterprise AI/ML roadmap, lead an organization of scientists and BIEs, and deliver production AI and ML models that will generate 1M+ efficiency hours annually.
Key job responsibilities
Lead AI/ML Strategy & Delivery
- Own the enterprise AI/ML roadmap across UNITE (theft detection, investigation automation), PRISM (operational disruption, risk management) and other WWOS Tech products
- Deliver net-new production AI models by EOY 2026 aligned to WWOS SPS goals: reduce theft/fraud loss from 0.30% to 0.19% of GMS and transform incident preparedness from reactive to proactive.
- Establish AI/ML delivery standards: model quality gates, bias detection, responsible AI compliance (Amazon Trust principles, EU AI Act), and production readiness criteria
- Build centralized model registry, shared experimentation platform (SageMaker), and MLOps infrastructure in partnership with Data Engineering
Build & Scale High-Performing Teams
- Lead Science & BI pillar within WWOS Tech: grow Science team over next 18 months, manage 3 BIE managers overseeing BIEs across EESN, Ops Disruption, and Business Reporting teams
- Recruit, onboard, and retain top AI/ML talent in a highly competitive market; develop career paths for Scientists, ML Solutions Architects, and BIEs transitioning to AI-enabled strategic advisors
- Drive AI literacy across all of WWOS organization: 100% AI-trained by EOY 2026 across Technical, Leadership, and Cross-Skill tracks
- Establish operating rhythm: weekly Science pillar sync, bi-weekly cross-pillar integration reviews, monthly AI portfolio health inspections
Partner with Business & Technical Leaders
- Translate ambiguous business problems into AI/ML solutions through direct partnership with field leaders, program vertical leaders, and WWOS senior leadership.
- Represent WWOS Tech in Amazon-wide AI/ML forums: AWS AI partnerships, responsible AI governance, GOS AI forums
Drive Responsible AI & Governance
- Ensure all AI models touching sensitive security data meet Amazon's responsible AI bar and evolving regulatory requirements (GDPR, EU AI Act)
- Implement bias detection, model explainability and human-in-the-loop mechanisms for high-risk applications
- Conduct quarterly AI risk assessments with Legal, InfoSec, and Privacy teams; maintain AI model inventory and compliance dashboard
- Partner with AI Ethics & Governance Specialist to establish enterprise-wide responsible AI frameworks
About the team
We are a team that cares about your work-life balance, while challenging you to solve problems at high scale. You will be part of a strong team in a fast-paced, start-up environment where agile development is embraced and innovation is encouraged. You will get support and resources from some of the smartest people in the industry to continue your personal and professional growth. You'll be joining a fun team that prides itself on a great work environment with an inclusive group of people that loves working together towards a common goal and make history in launching a new strategic service in the industry.
BASIC QUALIFICATIONS
- 10+ years of building large-scale machine learning and AI solutions at Internet scale experience
- Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
PREFERRED QUALIFICATIONS
- 10+ years of practical work applying ML to solve complex problems for large-scale applications experience
- 5+ years of hands-on work in big data, machine learning and predictive modeling experience
- 5+ years of people management experience
- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience working with big data, machine learning and predictive modeling
- Experience in people management
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language
- Experience researching actual applications
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Seattle - 218,800.00 - 295,900.00 USD annually
See all 71+ 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 E-3 Visa Sponsorship as a Business Intelligence Lead
Translate your Australian credentials for U.S. hiring
A three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 purposes. Get an official credential evaluation before interviews so your qualification aligns with the specialty occupation standard DOL requires.
Target employers with active LCA filing history
Search DOL's Office of Foreign Labor Certification disclosure data to identify companies that have filed LCAs for BI and analytics roles. Prior LCA activity signals an employer already understands the sponsorship process for specialty occupation positions.
Frame your BI Lead title against specialty occupation criteria
Job titles like 'Business Intelligence Lead' can attract scrutiny if the duties appear managerial rather than technical. Document that your role requires applying a body of highly specialized knowledge, not just overseeing a team, before the LCA is filed.
Clarify LCA obligations with your employer early
The E-3 LCA must be filed with DOL and certified before your visa application. Confirm your employer understands they are certifying prevailing wage compliance and public access file requirements, not just signing an offer letter.
Use Migrate Mate's E-3 filing service for end-to-end support
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork through to your consulate appointment. This avoids the coordination gaps that typically delay BI candidates between offer acceptance and visa issuance.
Prepare for dual-intent questions at your consulate interview
E-3 is a nonimmigrant visa, so consular officers will assess your ties to Australia. Senior BI professionals with long U.S. career plans should be ready to articulate genuine nonimmigrant intent while maintaining strong home-country connections.
Business Intelligence Lead jobs are hiring across the US. Find yours.
Find Business Intelligence Lead JobsBusiness Intelligence Lead E-3 Visa: Frequently Asked Questions
How do I find Business Intelligence Lead jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. Because the E-3 requires a specialty occupation tied to a specific degree, filtering for employers familiar with the visa type saves significant time. Migrate Mate surfaces BI and analytics roles where employers are open to E-3 candidates, so you're not cold-approaching companies unfamiliar with the process.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Business Intelligence Lead role qualify as an E-3 specialty occupation?
Yes, in most cases. The E-3 specialty occupation standard requires that the role normally needs a bachelor's degree or higher in a specific field. BI Lead positions typically require a degree in data analytics, computer science, statistics, or a related discipline. Where the role blends technical work with management, the technical component needs to be central to the duties, not incidental, for the LCA to hold up under DOL review.
How does the E-3 compare to H-1B for Australian BI Lead candidates?
The E-3 is substantially more practical for Australians than the H-1B. There is no lottery, no annual cap, and no specific registration window, so you can start the process as soon as you have a job offer. H-1B selection runs once per year with roughly a one-in-four chance of selection, meaning a year-long wait is common even for strong candidates. For BI professionals with Australian citizenship, the E-3 is the direct path.
Can I switch employers as a Business Intelligence Lead on an E-3 visa?
Yes, but a new E-3 is required for each employer change. Your current E-3 is employer-specific, so when you accept a new role your new employer must file a fresh LCA with DOL and you'll typically need a new visa stamp. If you're already in the U.S., timing the transition carefully matters because there is no formal portability period equivalent to the H-1B's 60-day grace period for E-3 holders changing roles.
See which Business Intelligence Lead employers are hiring and sponsoring visas right now.
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