Data Manager Jobs at Apple with Visa Sponsorship
Data Manager jobs 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 JobsImagine what you could do here! The people here at Apple don’t just create products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
Apple’s Strategic Data Solutions (SDS) team is looking for an accomplished data science and analytics leader to build and lead a diverse team of senior individual contributors who are experts in analytics and experimentation. You’ll primarily partner with machine learning engineering leaders to deliver high-impact science and analytics that power decision automation and optimize performance across a wide range of business goals.
Description
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Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation
-
Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization
-
Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources
-
Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale
-
Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domains
-
Partner with cross-functional leaders to align analytics initiatives with strategic objectives
-
Evangelize data science best practices and help embed a data-informed culture across teams
-
Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes
Minimum Qualifications
Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, or a related field
7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles
2+ years of experience leading and mentoring data-focused teams
Proficiency in SQL and at least one programming language (e.g., Python, R)
Strong background in experimentation design, causal inference, and statistical analysis
Experience working with large-scale data pipelines and production-level analytics systems
Proven ability to drive measurable business impact through data and automation
Preferred Qualifications
Experience with building robust monitoring systems to track data and model health in production
Expertise in data storytelling and creating stakeholder-ready visualizations and narratives
Ability to connect insights to business outcomes and influence strategy
Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling
Passion for fostering inclusive team environments and valuing diverse perspectives
Clear communicator who can translate complex technical concepts into actionable business language
Imagine what you could do here! The people here at Apple don’t just create products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
Apple’s Strategic Data Solutions (SDS) team is looking for an accomplished data science and analytics leader to build and lead a diverse team of senior individual contributors who are experts in analytics and experimentation. You’ll primarily partner with machine learning engineering leaders to deliver high-impact science and analytics that power decision automation and optimize performance across a wide range of business goals.
Description
-
Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation
-
Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization
-
Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources
-
Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale
-
Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domains
-
Partner with cross-functional leaders to align analytics initiatives with strategic objectives
-
Evangelize data science best practices and help embed a data-informed culture across teams
-
Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes
Minimum Qualifications
Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, or a related field
7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles
2+ years of experience leading and mentoring data-focused teams
Proficiency in SQL and at least one programming language (e.g., Python, R)
Strong background in experimentation design, causal inference, and statistical analysis
Experience working with large-scale data pipelines and production-level analytics systems
Proven ability to drive measurable business impact through data and automation
Preferred Qualifications
Experience with building robust monitoring systems to track data and model health in production
Expertise in data storytelling and creating stakeholder-ready visualizations and narratives
Ability to connect insights to business outcomes and influence strategy
Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling
Passion for fostering inclusive team environments and valuing diverse perspectives
Clear communicator who can translate complex technical concepts into actionable business language
See all 30+ Data Manager Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Manager Jobs at Apple.
Get Access To All JobsTips for Finding Data Manager Jobs at Apple
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 visa 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.
Frequently 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 visa 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 visa, E-3 visa, TN visa, 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 visa, 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.