Data Manager Jobs at Apple with Visa Sponsorship
Data Manager roles at Apple sit at the intersection of hardware operations, supply chain analytics, and enterprise data infrastructure. Apple has a well-established sponsorship process for technical roles in this function, supporting candidates across multiple visa categories from OPT to permanent residence pathways.
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Get Access To All JobsINTRODUCTION
We are seeking a hands-on Engineering Manager to lead Finance Data and AI Engineering initiatives, building scalable, high-performance financial data systems that power reporting, analytics, and AI-driven transformation.
This role is execution-focused: leading a team of engineers to build, optimize, and modernize financial data systems that directly support Finance's business operations and innovation initiatives. The ideal candidate combines deep data engineering expertise, solid software engineering fundamentals, and strong collaboration with Finance stakeholders.
DESCRIPTION
You will be responsible for designing and delivering robust financial data solutions across modern data platforms - including cloud data environments and enterprise databases such as SAP HANA - while applying strong software engineering principles to ensure scalability, reliability, and performance.
Responsibilities
- Lead the design and development of scalable financial data architectures and solutions, ensuring performance, scalability, and reliability using modern cloud platforms and enterprise databases.
- Achieve software engineering excellence by applying SDLC practices, enforcing modular architecture, driving engineering discipline, and enhancing system resiliency.
- Prepare structured financial datasets for AI, collaborate on model training and deployment, enable real-time data capabilities, and ensure data consistency and explainability in AI finance use cases.
- Optimize query performance and data models for large-scale financial datasets using enterprise data platforms like SAP HANA, Singlestore, and Apache Iceberg, while supporting native database capabilities and aligning usage with enterprise standards.
- Collaborate with Finance users to develop scalable technical solutions, ensure initiative execution with clear milestones, and mentor a team of data/software engineers.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Systems, or equivalent
- 8-12 years of experience in data engineering or software engineering
- 5+ years of engineering management experience
- Strong experience in: Data modeling and transformation, Distributed data platforms or enterprise databases, Software engineering best practices
- Experience developing strategies for data preparation and feature engineering to support large-scale AI and Machine Learning initiatives
PREFERRED QUALIFICATIONS
- Experience driving the implementation of data governance and quality standards
- Strong stakeholder management skills in Finance or enterprise functions
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 $228,100 and $342,800, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
We are seeking a hands-on Engineering Manager to lead Finance Data and AI Engineering initiatives, building scalable, high-performance financial data systems that power reporting, analytics, and AI-driven transformation.
This role is execution-focused: leading a team of engineers to build, optimize, and modernize financial data systems that directly support Finance's business operations and innovation initiatives. The ideal candidate combines deep data engineering expertise, solid software engineering fundamentals, and strong collaboration with Finance stakeholders.
DESCRIPTION
You will be responsible for designing and delivering robust financial data solutions across modern data platforms - including cloud data environments and enterprise databases such as SAP HANA - while applying strong software engineering principles to ensure scalability, reliability, and performance.
Responsibilities
- Lead the design and development of scalable financial data architectures and solutions, ensuring performance, scalability, and reliability using modern cloud platforms and enterprise databases.
- Achieve software engineering excellence by applying SDLC practices, enforcing modular architecture, driving engineering discipline, and enhancing system resiliency.
- Prepare structured financial datasets for AI, collaborate on model training and deployment, enable real-time data capabilities, and ensure data consistency and explainability in AI finance use cases.
- Optimize query performance and data models for large-scale financial datasets using enterprise data platforms like SAP HANA, Singlestore, and Apache Iceberg, while supporting native database capabilities and aligning usage with enterprise standards.
- Collaborate with Finance users to develop scalable technical solutions, ensure initiative execution with clear milestones, and mentor a team of data/software engineers.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Systems, or equivalent
- 8-12 years of experience in data engineering or software engineering
- 5+ years of engineering management experience
- Strong experience in: Data modeling and transformation, Distributed data platforms or enterprise databases, Software engineering best practices
- Experience developing strategies for data preparation and feature engineering to support large-scale AI and Machine Learning initiatives
PREFERRED QUALIFICATIONS
- Experience driving the implementation of data governance and quality standards
- Strong stakeholder management skills in Finance or enterprise functions
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 $228,100 and $342,800, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Get Access To All JobsTips for Finding Data Manager Jobs at Apple Jobs
Align your credentials to Apple's data stack
Apple's Data Manager roles in hardware and supply chain often require experience with large-scale data pipelines and tools like SQL, Python, and internal analytics platforms. Frame your resume around data governance and infrastructure work, not just reporting.
Target Apple's hardware and operations teams
Data Manager openings tied to Apple's device supply chain and manufacturing operations tend to require domain knowledge that's harder to replicate. Focusing your application on these verticals signals genuine fit rather than a lateral move from unrelated industries.
Request LCA confirmation before accepting an offer
Before your start date, ask Apple's recruiting team to confirm your Labor Condition Application has been certified with the DOL. LCA certification is a required step before USCIS can adjudicate your H-1B petition, and delays here affect your timeline directly.
Use OPT strategically if you're on F-1 status
If you're completing a degree in data science, information systems, or a related STEM field, Apple regularly hires Data Manager candidates through F-1 CPT and OPT. STEM OPT gives you a 24-month extension, providing runway while your H-1B sponsorship is filed.
Map Apple's visa types to your nationality and timeline
Apple sponsors multiple visa categories, including H-1B1 for Singaporean and Chilean nationals, E-3 for Australians, and TN for Canadians and Mexicans. Knowing which category applies to you changes both the filing process and how quickly you can start. Browse Data Manager openings at Apple on Migrate Mate to filter by visa type.
Prepare for PERM documentation early if targeting Green Card
Apple initiates PERM labor certification through the DOL for EB-2 and EB-3 green card sponsorship. For Data Manager roles, the job duties defined in your PERM application must match your actual responsibilities, so align your offer letter and job description from day one.
Data Manager at Apple jobs are hiring across the US. Find yours.
Find Data Manager at Apple JobsFrequently Asked Questions
Does Apple sponsor H-1B visas for Data Managers?
Yes, Apple sponsors H-1B visas for Data Manager roles. Apple participates in the annual H-1B lottery each April, and Data Manager positions in functions like supply chain analytics and enterprise data infrastructure are among the technical roles Apple supports through this pathway. If you're already H-1B cap-exempt, Apple can file outside the lottery window.
How do I apply for Data Manager jobs at Apple?
Applications go through Apple's careers portal at jobs.apple.com. Data Manager roles are spread across teams including hardware operations, retail analytics, and enterprise systems, so searching by function rather than title returns broader results. Migrate Mate lists open Data Manager roles at Apple filtered by visa sponsorship type, which helps you identify openings that match your specific visa situation before applying directly.
Which visa types does Apple commonly use for Data Manager roles?
Apple sponsors H-1B, H-1B1, E-3, TN, F-1 OPT, F-1 CPT, and permanent residence pathways including EB-2 and EB-3 for Data Manager positions. The right category depends on your nationality and career stage. Australian nationals are typically routed through the E-3, which has no lottery, while most other nationalities go through the H-1B cap process.
What qualifications does Apple expect for Data Manager positions?
Apple's Data Manager roles typically require a bachelor's degree or higher in computer science, information systems, data engineering, or a related field. Hands-on experience managing large datasets, building scalable pipelines, and working cross-functionally with hardware or supply chain teams carries significant weight. Familiarity with Apple's product lifecycle or consumer electronics data environments strengthens an application noticeably.
How long does the visa sponsorship process take for a Data Manager at Apple?
Timeline depends on your visa category. H-1B standard processing through USCIS runs three to six months from filing, while premium processing cuts adjudication to around 15 business days. E-3 and TN sponsorship can move faster since neither requires a lottery. If Apple initiates PERM for a Green Card, budget 12 to 24 months for labor certification alone before the I-140 petition is filed.
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