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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Get Access To All JobsINTRODUCTION
The Global Program Controls organization provides governance, reporting, controls processes, cost management support, and portfolio visibility to help Oracle Cloud Infrastructure deliver global data center programs with greater consistency, transparency, and execution discipline.
We are seeking a hands-on technical leader to build and deploy the dashboards, reports, and AI-enabled analytics that help senior leadership understand operational performance, identify risks, and make informed decisions. We have an established database foundation supported by data entry and governance processes. This role will build on that foundation by turning trusted data into reliable reporting products that people use in their daily work. The position will integrate information from Oracle Primavera Cloud (OPC), our scheduling platform, Oracle Primavera Unifier, and Oracle APEX applications and their underlying data sources.
The successful candidate will personally write queries, develop reporting models, build dashboards, connect systems, and deploy solutions into production. They will also establish reporting priorities and technical standards, working closely with business leaders, system owners, and technical teams. The role carries substantial technical ownership and can operate as a senior individual contributor leading cross-functional delivery. Strong technical execution must be paired with analytical judgment and clear communication. This person should be able to investigate a discrepancy in the underlying data, explain its business significance, and deliver an accurate, concise view for executives.
ROLE AND RESPONSIBILITIES
Key Responsibilities
Dashboard and Reporting Development:
- Design, build, and deploy executive and operational dashboards that provide consistent views of schedules, milestones, delivery progress, dependencies, and emerging risks.
- Translate business questions into defined metrics, data requirements, reporting logic, and intuitive visualizations with useful filters and drill-down capabilities.
- Develop reusable datasets, SQL queries, and reporting models that support multiple dashboards and reduce manual report preparation.
- Own reporting solutions through requirements, development, testing, deployment, user adoption, and ongoing maintenance.
Oracle Systems and Data Integration:
- Connect OPC, Unifier, and APEX-related data through supported APIs, database views, approved extracts, or existing integration pipelines, working with system owners to determine the appropriate approach.
- Reconcile project identifiers, reporting periods, status definitions, and data granularity across systems so combined reports remain accurate and meaningful.
- Build or extend automated data transformations and refresh workflows; investigate failed loads, stale data, and integration issues with the appropriate technical teams.
AI Models and Analytical Automation:
- Apply AI models, including large language models where appropriate, to practical reporting needs such as summarizing operational updates, explaining variances, and helping users explore approved data.
- Use Python, model APIs, and other appropriate tools to prototype, evaluate, and deploy repeatable analytical workflows.
- Ground AI-generated insights in verifiable source data, test output quality against representative examples, and establish human review where needed.
- Assess model accuracy, reliability, cost, and business usefulness before expanding a solution; protect confidential information through approved tools and access controls.
- Use AI-assisted development effectively while independently reviewing and testing generated code, queries, calculations, and conclusions.
Reporting Reliability and Data Integrity:
- Build on existing governance processes to maintain documented metric definitions, calculation rules, source mappings, ownership, and data lineage.
- Validate dashboard results against source systems and approved business definitions before release; make refresh timing and data limitations visible to users.
- Implement appropriate access controls, version control, release documentation, and monitoring so reporting products remain secure and supportable.
- Optimize query and dashboard performance, resolve defects, and work with data owners to address recurring quality issues at their source.
Executive Partnership and Technical Leadership:
- Work with executives and operational leaders to identify the decisions reporting must support and prioritize a practical delivery roadmap.
- Present the few insights, risks, and actions that matter most, with enough supporting detail to answer follow-up questions.
- Develop working fluency in data center operations, infrastructure deployment, hardware testing, commissioning, and server turn-up to interpret operational information accurately.
- Lead cross-functional delivery with clear owners, milestones, and follow-through; provide technical direction to internal partners or vendors as needed.
- Train users, gather feedback, and improve reporting products based on actual use and changing business needs.
CANDIDATE PROFILE
The ideal candidate is an experienced builder who remains comfortable doing the technical work personally. They can move between SQL, data models, dashboard design, AI workflows, and executive conversations without losing accuracy or momentum.
They ask where a number came from, whether its calculation is defensible, and what decision it supports. They enjoy learning unfamiliar technical operations, take ownership of production reliability, and continue improving a solution after its initial release.
BASIC QUALIFICATIONS
- Approximately 8–12 or more years of relevant experience in business intelligence, analytics engineering, data engineering, technical analytics, or a related discipline, with demonstrated ownership of complex reporting solutions.
- Advanced SQL skills and hands-on experience with relational databases, data modeling, data transformation, and query optimization.
- Demonstrated ability to independently build, publish, and maintain production dashboards using an enterprise platform such as Oracle Analytics, Power BI, Tableau, or an equivalent tool.
- Proficiency in Python or a comparable programming language for data preparation, API integration, analytical automation, and troubleshooting.
- Practical experience working with AI models and integrating them into analytical or business workflows, including evaluating outputs against source data.
- Experience extracting and combining enterprise application data through APIs, database connections, or automated integration processes.
- Strong understanding of metric definitions, reporting granularity, reconciliation, data quality, and access controls.
- Ability to translate ambiguous business needs into working technical solutions and explain findings clearly to senior executives.
- Proven ability to lead cross-functional delivery with limited oversight, sound judgment, and persistent follow-through.
PREFERRED QUALIFICATIONS
- Direct experience with Oracle Primavera Cloud, Oracle Primavera Unifier, or Oracle APEX, including their data structures, reporting, or integration capabilities.
- Experience with Oracle Database, PL/SQL, Oracle Analytics, or developing reporting functionality within APEX.
- Experience with project controls, schedule and milestone reporting, capital projects, or portfolio analytics.
- Experience deploying AI workflows that retrieve approved enterprise information and provide traceable answers or summaries.
- Familiarity with data center operations, construction, infrastructure deployment, hardware validation, or commissioning.
- Experience setting technical standards, mentoring developers or analysts, or directing vendor delivery.
WHAT SUCCESS LOOKS LIKE
Within the first year, the successful candidate will:
- Deliver a prioritized set of production dashboards and reports using OPC, Unifier, and APEX-related data, with documented calculations and reliable refresh schedules.
- Establish reporting that executives and operational teams use regularly to identify schedule changes, delivery risks, and required actions.
- Reduce manual reporting effort and recurring reconciliation issues against an agreed baseline.
- Demonstrate measurable value from selected AI workflows, with documented validation and clear accountability for outputs.
- Leave reporting solutions documented, maintainable, and supported by clear ownership and user training.
LEADERSHIP ATTRIBUTES
- Technical depth and willingness to build
- Relentless commitment to accuracy
- Intellectual curiosity
- Clear executive communication
- Practical judgment about AI
- Ownership and follow-through
- Collaborative problem solving
- Discretion and integrity
INTRODUCTION
The Global Program Controls organization provides governance, reporting, controls processes, cost management support, and portfolio visibility to help Oracle Cloud Infrastructure deliver global data center programs with greater consistency, transparency, and execution discipline.
We are seeking a hands-on technical leader to build and deploy the dashboards, reports, and AI-enabled analytics that help senior leadership understand operational performance, identify risks, and make informed decisions. We have an established database foundation supported by data entry and governance processes. This role will build on that foundation by turning trusted data into reliable reporting products that people use in their daily work. The position will integrate information from Oracle Primavera Cloud (OPC), our scheduling platform, Oracle Primavera Unifier, and Oracle APEX applications and their underlying data sources.
The successful candidate will personally write queries, develop reporting models, build dashboards, connect systems, and deploy solutions into production. They will also establish reporting priorities and technical standards, working closely with business leaders, system owners, and technical teams. The role carries substantial technical ownership and can operate as a senior individual contributor leading cross-functional delivery. Strong technical execution must be paired with analytical judgment and clear communication. This person should be able to investigate a discrepancy in the underlying data, explain its business significance, and deliver an accurate, concise view for executives.
ROLE AND RESPONSIBILITIES
Key Responsibilities
Dashboard and Reporting Development:
- Design, build, and deploy executive and operational dashboards that provide consistent views of schedules, milestones, delivery progress, dependencies, and emerging risks.
- Translate business questions into defined metrics, data requirements, reporting logic, and intuitive visualizations with useful filters and drill-down capabilities.
- Develop reusable datasets, SQL queries, and reporting models that support multiple dashboards and reduce manual report preparation.
- Own reporting solutions through requirements, development, testing, deployment, user adoption, and ongoing maintenance.
Oracle Systems and Data Integration:
- Connect OPC, Unifier, and APEX-related data through supported APIs, database views, approved extracts, or existing integration pipelines, working with system owners to determine the appropriate approach.
- Reconcile project identifiers, reporting periods, status definitions, and data granularity across systems so combined reports remain accurate and meaningful.
- Build or extend automated data transformations and refresh workflows; investigate failed loads, stale data, and integration issues with the appropriate technical teams.
AI Models and Analytical Automation:
- Apply AI models, including large language models where appropriate, to practical reporting needs such as summarizing operational updates, explaining variances, and helping users explore approved data.
- Use Python, model APIs, and other appropriate tools to prototype, evaluate, and deploy repeatable analytical workflows.
- Ground AI-generated insights in verifiable source data, test output quality against representative examples, and establish human review where needed.
- Assess model accuracy, reliability, cost, and business usefulness before expanding a solution; protect confidential information through approved tools and access controls.
- Use AI-assisted development effectively while independently reviewing and testing generated code, queries, calculations, and conclusions.
Reporting Reliability and Data Integrity:
- Build on existing governance processes to maintain documented metric definitions, calculation rules, source mappings, ownership, and data lineage.
- Validate dashboard results against source systems and approved business definitions before release; make refresh timing and data limitations visible to users.
- Implement appropriate access controls, version control, release documentation, and monitoring so reporting products remain secure and supportable.
- Optimize query and dashboard performance, resolve defects, and work with data owners to address recurring quality issues at their source.
Executive Partnership and Technical Leadership:
- Work with executives and operational leaders to identify the decisions reporting must support and prioritize a practical delivery roadmap.
- Present the few insights, risks, and actions that matter most, with enough supporting detail to answer follow-up questions.
- Develop working fluency in data center operations, infrastructure deployment, hardware testing, commissioning, and server turn-up to interpret operational information accurately.
- Lead cross-functional delivery with clear owners, milestones, and follow-through; provide technical direction to internal partners or vendors as needed.
- Train users, gather feedback, and improve reporting products based on actual use and changing business needs.
CANDIDATE PROFILE
The ideal candidate is an experienced builder who remains comfortable doing the technical work personally. They can move between SQL, data models, dashboard design, AI workflows, and executive conversations without losing accuracy or momentum.
They ask where a number came from, whether its calculation is defensible, and what decision it supports. They enjoy learning unfamiliar technical operations, take ownership of production reliability, and continue improving a solution after its initial release.
BASIC QUALIFICATIONS
- Approximately 8–12 or more years of relevant experience in business intelligence, analytics engineering, data engineering, technical analytics, or a related discipline, with demonstrated ownership of complex reporting solutions.
- Advanced SQL skills and hands-on experience with relational databases, data modeling, data transformation, and query optimization.
- Demonstrated ability to independently build, publish, and maintain production dashboards using an enterprise platform such as Oracle Analytics, Power BI, Tableau, or an equivalent tool.
- Proficiency in Python or a comparable programming language for data preparation, API integration, analytical automation, and troubleshooting.
- Practical experience working with AI models and integrating them into analytical or business workflows, including evaluating outputs against source data.
- Experience extracting and combining enterprise application data through APIs, database connections, or automated integration processes.
- Strong understanding of metric definitions, reporting granularity, reconciliation, data quality, and access controls.
- Ability to translate ambiguous business needs into working technical solutions and explain findings clearly to senior executives.
- Proven ability to lead cross-functional delivery with limited oversight, sound judgment, and persistent follow-through.
PREFERRED QUALIFICATIONS
- Direct experience with Oracle Primavera Cloud, Oracle Primavera Unifier, or Oracle APEX, including their data structures, reporting, or integration capabilities.
- Experience with Oracle Database, PL/SQL, Oracle Analytics, or developing reporting functionality within APEX.
- Experience with project controls, schedule and milestone reporting, capital projects, or portfolio analytics.
- Experience deploying AI workflows that retrieve approved enterprise information and provide traceable answers or summaries.
- Familiarity with data center operations, construction, infrastructure deployment, hardware validation, or commissioning.
- Experience setting technical standards, mentoring developers or analysts, or directing vendor delivery.
WHAT SUCCESS LOOKS LIKE
Within the first year, the successful candidate will:
- Deliver a prioritized set of production dashboards and reports using OPC, Unifier, and APEX-related data, with documented calculations and reliable refresh schedules.
- Establish reporting that executives and operational teams use regularly to identify schedule changes, delivery risks, and required actions.
- Reduce manual reporting effort and recurring reconciliation issues against an agreed baseline.
- Demonstrate measurable value from selected AI workflows, with documented validation and clear accountability for outputs.
- Leave reporting solutions documented, maintainable, and supported by clear ownership and user training.
LEADERSHIP ATTRIBUTES
- Technical depth and willingness to build
- Relentless commitment to accuracy
- Intellectual curiosity
- Clear executive communication
- Practical judgment about AI
- Ownership and follow-through
- Collaborative problem solving
- Discretion and integrity
See all 593+ E-3 Visa Business Intelligence Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Business Intelligence Lead Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in 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 visa 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.
E-3 Visa Business Intelligence Lead: 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 visa. 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.