Maitre D' Jobs in USA with Visa Sponsorship
Maître d' positions qualify for H-1B visa sponsorship when they require specialized hospitality management knowledge and a bachelor's degree. High-end restaurants, luxury hotels, and resort properties most commonly sponsor these roles, particularly for candidates with formal hospitality education or extensive fine dining experience managing complex service operations. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. If you love thinking analytically and are passionate about using your financial knowledge to navigate challenges, we'd love to hear from you!
ROLE AND RESPONSIBILITIES
As an R&D Finance & Data Scientist, you will play a critical role in architecting, building, and maintaining the financial data infrastructure and advanced analytical tooling that powers Apple’s R&D Finance organization. In this role, you will bridge the gap between financial operations and cutting-edge data science—optimizing how we plan, track, and manage R&D Headcount, Opex, and Capex spend.
You will combine deep financial acumen with hands-on technical expertise in SQL, Python, machine learning, and Generative AI to eliminate operational friction, improve data governance, and deliver actionable executive intelligence. Partnering closely with cross-functional teams and the Finance Transformation Office, your work will directly influence operating margin performance, financial transparency, and strategic product roadmaps in a dynamic, fast-paced global environment.
The R&D Finance Tools & Analytics team is dedicated to modernizing and transforming core finance operations across the R&D organization. We architect internal tools, automate mission-critical workflows, and build advanced analytics platforms that enable financial analysts and leadership to make faster, data-backed decisions.
In this role, you will take ownership of identifying manual bottlenecks and architecting scalable, automated solutions across:
-
Financial Operations & Control: Redesigning and automating expense management, annual budget planning, Purchase-to-Pay (P2P) workflows, accounting close activities, and headcount approval pipelines.
-
Advanced Analytics & AI Enablement: Evaluating and deploying cutting-edge technologies—with a strong focus on Generative AI and automated monitoring—to conduct financial reconciliations, detect spend anomalies, and enforce internal controls at scale.
-
Data Governance & Product/LOB Modeling: Enhancing and maintaining the Line of Business (LOB) data models and multi-dimensional financial views to deliver granular, reliable visibility into product engineering investments.
Our team thrives on innovation, continuous improvement, and cross-functional collaboration. You will work side-by-side with finance analysts, business partners, and engineering teams to champion standardizations and scalable best practices across the enterprise.
Systems & Process Roadmap: Own, prioritize, and drive the multi-year technology and process re-engineering roadmap for R&D Finance systems.
Architecture & Development: Architect, develop, test, deploy, and maintain robust data pipelines, internal web tools, and automated workflows supporting day-to-day finance operations.
Gen AI & Intelligent Automation: Build, fine-tune, and deploy LLM-driven agents and ML models (using frameworks like LangGraph / LangChain) to automate complex reconciliations, transaction categorization, and variance analysis.
Executive Dashboards & BI: Design and maintain scalable Tableau reporting suites for spend analysis, forecast-vs-actual variance, and executive leadership reviews.
LOB & Reporting Models: Enhance, optimize, and govern the LOB reporting data model to ensure seamless financial visibility across product portfolios.
Stakeholder Alignment & Requirements: Partner with SMEs, business leads, and finance analysts to gather business requirements, translate them into technical specs/prototypes, and drive consensus.
Change Management & Adoption: Lead rollouts, documentation, and user enablement for all newly developed tools and automated capabilities.
Confidentiality & Compliance: Uphold the highest standard of data integrity, confidentiality, and governance around sensitive product roadmaps and financial data.
MINIMUM QUALIFICATIONS
-
5+ years of hands-on experience in full lifecycle software/tool development, data engineering, and analytics in a finance, operations, or enterprise analytics setting
-
BS in Computer Science, Software Engineering, Data Analytics, Information Systems, Finance/Economics with a technical focus, or equivalent practical experience.
-
Advanced proficiency in SQL and Python for complex data extraction, pipeline, orchestration, and analytical modeling across large-scale relational databases and data warehouses.
-
Experience with front-end / web-based tools and scripting (e.g., JavaScript) to power internal financial workflows.
-
Hands-on expertise building enterprise-grade data flows, ETL/ELT pipelines, and advanced analytics in Dataiku and relational environments (e.g., FileMaker, Snowflake, or modern data warehouses).
-
Proven track record designing, building, and maintaining high-performance, interactive Tableau (or comparable BI) dashboards for spend analytics and executive-level reviews.
-
Working knowledge of Machine Learning engineering and LLM development/orchestration frameworks (e.g., LangChain, LangGraph, AgentConnect).
-
Demonstrated ability to implement AI/ML capabilities for anomaly detection, automated reconciliation, and continuous control monitoring.
-
Demonstrated experience leading end-to-end Project Lifecycle Deployments (scoping, technical architecture, prototyping, testing, deployment, and change management).
-
Exceptional communication skills with the ability to translate complex technical architectures into clear, concise business narratives for executive stakeholders.
-
Comfort with ambiguity, high ownership, and a proactive approach to pairing identified problems with viable technical solutions.
PREFERRED QUALIFICATIONS
-
Direct experience within R&D / Engineering Finance or tech-industry financial operations.
-
Familiarity with RPA (Robotic Process Automation), enterprise ERP/financial planning platforms (e.g., SAP, Workday, Adaptive Insights), and enterprise data warehousing governance.
-
Basic understanding of core finance and accounting principles (budgeting, forecasting, P2P lifecycle, Capex vs. Opex, headcount planning, and general ledger/cost center structures).
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $149,200 and $249,000, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses—including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. If you love thinking analytically and are passionate about using your financial knowledge to navigate challenges, we'd love to hear from you!
ROLE AND RESPONSIBILITIES
As an R&D Finance & Data Scientist, you will play a critical role in architecting, building, and maintaining the financial data infrastructure and advanced analytical tooling that powers Apple’s R&D Finance organization. In this role, you will bridge the gap between financial operations and cutting-edge data science—optimizing how we plan, track, and manage R&D Headcount, Opex, and Capex spend.
You will combine deep financial acumen with hands-on technical expertise in SQL, Python, machine learning, and Generative AI to eliminate operational friction, improve data governance, and deliver actionable executive intelligence. Partnering closely with cross-functional teams and the Finance Transformation Office, your work will directly influence operating margin performance, financial transparency, and strategic product roadmaps in a dynamic, fast-paced global environment.
The R&D Finance Tools & Analytics team is dedicated to modernizing and transforming core finance operations across the R&D organization. We architect internal tools, automate mission-critical workflows, and build advanced analytics platforms that enable financial analysts and leadership to make faster, data-backed decisions.
In this role, you will take ownership of identifying manual bottlenecks and architecting scalable, automated solutions across:
-
Financial Operations & Control: Redesigning and automating expense management, annual budget planning, Purchase-to-Pay (P2P) workflows, accounting close activities, and headcount approval pipelines.
-
Advanced Analytics & AI Enablement: Evaluating and deploying cutting-edge technologies—with a strong focus on Generative AI and automated monitoring—to conduct financial reconciliations, detect spend anomalies, and enforce internal controls at scale.
-
Data Governance & Product/LOB Modeling: Enhancing and maintaining the Line of Business (LOB) data models and multi-dimensional financial views to deliver granular, reliable visibility into product engineering investments.
Our team thrives on innovation, continuous improvement, and cross-functional collaboration. You will work side-by-side with finance analysts, business partners, and engineering teams to champion standardizations and scalable best practices across the enterprise.
Systems & Process Roadmap: Own, prioritize, and drive the multi-year technology and process re-engineering roadmap for R&D Finance systems.
Architecture & Development: Architect, develop, test, deploy, and maintain robust data pipelines, internal web tools, and automated workflows supporting day-to-day finance operations.
Gen AI & Intelligent Automation: Build, fine-tune, and deploy LLM-driven agents and ML models (using frameworks like LangGraph / LangChain) to automate complex reconciliations, transaction categorization, and variance analysis.
Executive Dashboards & BI: Design and maintain scalable Tableau reporting suites for spend analysis, forecast-vs-actual variance, and executive leadership reviews.
LOB & Reporting Models: Enhance, optimize, and govern the LOB reporting data model to ensure seamless financial visibility across product portfolios.
Stakeholder Alignment & Requirements: Partner with SMEs, business leads, and finance analysts to gather business requirements, translate them into technical specs/prototypes, and drive consensus.
Change Management & Adoption: Lead rollouts, documentation, and user enablement for all newly developed tools and automated capabilities.
Confidentiality & Compliance: Uphold the highest standard of data integrity, confidentiality, and governance around sensitive product roadmaps and financial data.
MINIMUM QUALIFICATIONS
-
5+ years of hands-on experience in full lifecycle software/tool development, data engineering, and analytics in a finance, operations, or enterprise analytics setting
-
BS in Computer Science, Software Engineering, Data Analytics, Information Systems, Finance/Economics with a technical focus, or equivalent practical experience.
-
Advanced proficiency in SQL and Python for complex data extraction, pipeline, orchestration, and analytical modeling across large-scale relational databases and data warehouses.
-
Experience with front-end / web-based tools and scripting (e.g., JavaScript) to power internal financial workflows.
-
Hands-on expertise building enterprise-grade data flows, ETL/ELT pipelines, and advanced analytics in Dataiku and relational environments (e.g., FileMaker, Snowflake, or modern data warehouses).
-
Proven track record designing, building, and maintaining high-performance, interactive Tableau (or comparable BI) dashboards for spend analytics and executive-level reviews.
-
Working knowledge of Machine Learning engineering and LLM development/orchestration frameworks (e.g., LangChain, LangGraph, AgentConnect).
-
Demonstrated ability to implement AI/ML capabilities for anomaly detection, automated reconciliation, and continuous control monitoring.
-
Demonstrated experience leading end-to-end Project Lifecycle Deployments (scoping, technical architecture, prototyping, testing, deployment, and change management).
-
Exceptional communication skills with the ability to translate complex technical architectures into clear, concise business narratives for executive stakeholders.
-
Comfort with ambiguity, high ownership, and a proactive approach to pairing identified problems with viable technical solutions.
PREFERRED QUALIFICATIONS
-
Direct experience within R&D / Engineering Finance or tech-industry financial operations.
-
Familiarity with RPA (Robotic Process Automation), enterprise ERP/financial planning platforms (e.g., SAP, Workday, Adaptive Insights), and enterprise data warehousing governance.
-
Basic understanding of core finance and accounting principles (budgeting, forecasting, P2P lifecycle, Capex vs. Opex, headcount planning, and general ledger/cost center structures).
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $149,200 and $249,000, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses—including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 3,546+ Maitre D' Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Maitre D' roles.
Get Access To All JobsTips for Finding Maitre D' Jobs
Target luxury hospitality venues
Focus on fine dining restaurants, luxury hotels, and resort properties. These employers more readily sponsor H-1B visas for maître d' positions because they value specialized service expertise and cultural knowledge for their international clientele.
Emphasize hospitality management degree
A bachelor's degree in hospitality management, business administration, or related field strengthens your sponsorship case. The degree requirement helps establish the position as specialty occupation qualifying for H-1B status.
Highlight multilingual abilities
Language skills are valuable assets for maître d' sponsorship. Emphasize fluency in languages relevant to the restaurant's clientele, as this demonstrates specialized knowledge that benefits the employer's international guest experience.
Document leadership experience
Showcase experience managing front-of-house operations, training staff, and coordinating with kitchen teams. Detailed examples of operational leadership help justify the specialized knowledge requirement for H-1B petitions.
Research chain restaurant policies
Large restaurant chains and hotel groups often have established visa sponsorship policies. Research companies like Marriott, Hilton, or major restaurant groups that regularly sponsor international management positions.
Consider resort seasonal programs
Luxury resorts in tourist destinations frequently need experienced maître d' staff and may offer sponsorship. These positions often provide housing and comprehensive benefits, making sponsorship more financially viable for employers.
Frequently Asked Questions
Do maître d' positions qualify for H-1B sponsorship?
Yes, maître d' positions can qualify for H-1B visa sponsorship when they require specialized hospitality management knowledge and a bachelor's degree. High-end restaurants, luxury hotels, and resorts most commonly sponsor these roles. The position must involve complex operational management, not just greeting and seating guests, to meet specialty occupation requirements.
What degree is required for maître d' visa sponsorship?
A bachelor's degree in hospitality management, business administration, or a related field is typically required for H-1B sponsorship. Some employers accept equivalent combinations of education and experience. The degree requirement helps establish that the position requires specialized knowledge qualifying it as a specialty occupation under immigration law.
How competitive is H-1B sponsorship for maître d' roles?
H-1B sponsorship for maître d' positions is moderately competitive and depends heavily on the employer and role complexity. Luxury establishments with international clientele are more likely to sponsor, especially for candidates with specialized skills like wine expertise or multilingual abilities. Success rates are higher at premium venues that value specialized service knowledge.
Can restaurant experience substitute for a degree in maître d' sponsorship?
Under the three-for-one rule, three years of specialized hospitality experience can substitute for one year of education. For a four-year degree equivalent, you'd need approximately 12 years of progressive restaurant management experience. However, most employers prefer candidates with formal hospitality education for sponsored positions.
How to find Maitre D' jobs with visa sponsorship?
To find Maitre D' jobs with visa sponsorship, use Migrate Mate, which specializes in connecting hospitality professionals with sponsoring employers. Focus your search on upscale restaurants, luxury hotels, resort chains, and fine dining establishments that commonly sponsor H-1B, O-1 visa, or EB-3 visas for experienced Maitre D' candidates. These employers value hospitality expertise and are more likely to support visa applications.
Which visa alternatives exist for maître d' positions?
E-3 visas are available for Australian citizens with qualifying degrees. TN visas may apply for Canadian or Mexican citizens in management roles. L-1 visas work for transfers within international restaurant chains or hotel groups. EB-2 NIW may be possible for candidates with exceptional expertise in hospitality management or unique cultural specializations.
What is the prevailing wage requirement for sponsored Maitre D' 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.