Master Data Management Jobs at Apple with Visa Sponsorship
Apple hires Master Data Management professionals to maintain the data integrity behind its global supply chain, product catalog, and retail operations. Apple has a consistent track record of sponsoring work visas across multiple categories for this function, making it a strong target for internationally qualified MDM candidates.
See All Master Data Management at Apple JobsOverview
Showing 5 of 29+ Master Data Management Jobs at Apple jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 29+ Master Data Management Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Master Data Management Jobs at Apple.
Get Access To All Jobs
At Apple, data helps turn curiosity into breakthrough product experiences. Within iCloud, data plays a critical role in shaping how cloud services evolve, scale, and deliver world-class experiences.
We are seeking a Sr. Data Science Leader to define and scale the data science vision across iCloud and Enterprise domains. This leader will build and guide a high-impact organization that shapes product strategy, drives business outcomes, and elevates decision-making through rigorous, data-informed insights.
This role calls for a strategic leader who pairs deep technical expertise with strong people leadership, and who can translate complex data into clear, measurable product and business impact while driving alignment across senior stakeholders.
Description
The Sr. Data Science Leader will oversee and grow a team of senior data scientists and managers responsible for analytics, experimentation, modeling, and data-driven insights that directly influence iCloud product experiences and business strategy.
You will partner closely with Product, Engineering, Design, and Business leaders to define success metrics, guide long-term roadmaps, and embed data science deeply into product development. As a trusted advisor to senior leadership, you will bring clarity to complex problems, drive prioritization across competing initiatives, and influence executive decisions with well-structured, evidence-based recommendations.
This role operates at both strategic and execution levels. You must be comfortable navigating ambiguity, setting direction in complex problem spaces, and balancing immediate product impact with long-term capability building.
Responsibilities
-
Lead organizational transformation: Champion a culture that balances data-driven rigor with informed intuition in decision-making, helping teams across iCloud integrate data science insights into product and business strategy.
-
Set the data science vision: Establish the long-term strategy for analytics, experimentation, and machine learning across iCloud and Enterprise domains, ensuring statistical rigor and scalable data science practices that support product and business priorities.
-
Drive product and business impact through data: Guide large-scale experimentation, causal inference, predictive modeling, and optimization efforts that inform product direction, engagement, growth, and enterprise value.
-
Influence executive decision-making: Partner closely with Product, Engineering, Design, and Business leaders to define success metrics, shape roadmaps, evaluate trade-offs, and guide strategic decisions through data-driven insights.
-
Elevate data science capabilities across the organization: Establish best practices for analytical rigor, experimentation, and insight generation while enabling teams to work effectively with large datasets and scalable data infrastructure.
Minimum Qualifications
-
10+ years of experience in data science, analytics, or applied machine learning.
-
5+ years of experience leading and scaling data science teams, including managing managers.
-
Proven track record supporting product development in large-scale consumer or enterprise environments.
-
Strong foundation in statistics, experimentation design, causal inference, and machine learning methodologies.
-
Experience working with large, complex datasets and modern data ecosystems.
-
Experience with large-scale experimentation, recommendation systems, personalization, growth analytics, or optimization at scale.
-
Experience overseeing large-scale data science initiatives and cross-functional data infrastructure initiatives.
-
Advanced degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
-
Exceptional communication skills with the ability to influence both technical and non-technical stakeholders.
-
Demonstrated ability to operate effectively in ambiguous, complex environments and set clear direction.
Preferred Qualifications
- Maintain deep awareness of the rapidly evolving AI ecosystem and apply those insights to guide team and organizational strategy.
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 $262,500 and $393,800, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.

At Apple, data helps turn curiosity into breakthrough product experiences. Within iCloud, data plays a critical role in shaping how cloud services evolve, scale, and deliver world-class experiences.
We are seeking a Sr. Data Science Leader to define and scale the data science vision across iCloud and Enterprise domains. This leader will build and guide a high-impact organization that shapes product strategy, drives business outcomes, and elevates decision-making through rigorous, data-informed insights.
This role calls for a strategic leader who pairs deep technical expertise with strong people leadership, and who can translate complex data into clear, measurable product and business impact while driving alignment across senior stakeholders.
Description
The Sr. Data Science Leader will oversee and grow a team of senior data scientists and managers responsible for analytics, experimentation, modeling, and data-driven insights that directly influence iCloud product experiences and business strategy.
You will partner closely with Product, Engineering, Design, and Business leaders to define success metrics, guide long-term roadmaps, and embed data science deeply into product development. As a trusted advisor to senior leadership, you will bring clarity to complex problems, drive prioritization across competing initiatives, and influence executive decisions with well-structured, evidence-based recommendations.
This role operates at both strategic and execution levels. You must be comfortable navigating ambiguity, setting direction in complex problem spaces, and balancing immediate product impact with long-term capability building.
Responsibilities
-
Lead organizational transformation: Champion a culture that balances data-driven rigor with informed intuition in decision-making, helping teams across iCloud integrate data science insights into product and business strategy.
-
Set the data science vision: Establish the long-term strategy for analytics, experimentation, and machine learning across iCloud and Enterprise domains, ensuring statistical rigor and scalable data science practices that support product and business priorities.
-
Drive product and business impact through data: Guide large-scale experimentation, causal inference, predictive modeling, and optimization efforts that inform product direction, engagement, growth, and enterprise value.
-
Influence executive decision-making: Partner closely with Product, Engineering, Design, and Business leaders to define success metrics, shape roadmaps, evaluate trade-offs, and guide strategic decisions through data-driven insights.
-
Elevate data science capabilities across the organization: Establish best practices for analytical rigor, experimentation, and insight generation while enabling teams to work effectively with large datasets and scalable data infrastructure.
Minimum Qualifications
-
10+ years of experience in data science, analytics, or applied machine learning.
-
5+ years of experience leading and scaling data science teams, including managing managers.
-
Proven track record supporting product development in large-scale consumer or enterprise environments.
-
Strong foundation in statistics, experimentation design, causal inference, and machine learning methodologies.
-
Experience working with large, complex datasets and modern data ecosystems.
-
Experience with large-scale experimentation, recommendation systems, personalization, growth analytics, or optimization at scale.
-
Experience overseeing large-scale data science initiatives and cross-functional data infrastructure initiatives.
-
Advanced degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
-
Exceptional communication skills with the ability to influence both technical and non-technical stakeholders.
-
Demonstrated ability to operate effectively in ambiguous, complex environments and set clear direction.
Preferred Qualifications
- Maintain deep awareness of the rapidly evolving AI ecosystem and apply those insights to guide team and organizational strategy.
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 $262,500 and $393,800, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
See all 29+ Master Data Management at Apple jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Master Data Management at Apple roles.
Get Access To All JobsTips for Finding Master Data Management Jobs at Apple Jobs
Align your MDM credentials with Apple's ecosystem
Apple's MDM roles sit at the intersection of supply chain data and product operations. Certifications in Informatica, SAP MDG, or Stibo STEP signal direct relevance. Document your experience governing product master data or supplier hierarchies specifically, not generic data management work.
Target roles referencing Apple's supply chain systems
Job postings that mention NPI (new product introduction) data governance or BOM accuracy are strong indicators of MDM openings tied to Apple's hardware pipeline. These roles move faster through headcount approval and are more likely to carry sponsorship budget.
Confirm OPT eligibility before your interview process
Apple accepts F-1 OPT and CPT, but STEM OPT extension timelines matter here. Your employer must be enrolled in E-Verify for STEM OPT to be authorized. Verify your OPT end date and the 90-day unemployment limit before accepting a delayed start date.
Understand Apple's H-1B filing window relative to your offer
Cap-subject H-1B petitions are filed in April for an October 1 start. If you receive an offer after April, your start date will be the following October at earliest. Factor this into salary negotiation and your current visa status runway.
Search verified MDM openings at Apple on Migrate Mate
MDM roles at large electronics companies are rarely labeled uniformly across job boards. Use Migrate Mate to filter Apple postings specifically confirmed for visa sponsorship, saving time you'd otherwise spend vetting roles that don't support international candidates.
Prepare for PERM documentation early if targeting permanent residence
EB-2 and EB-3 sponsorship requires Apple to run a PERM labor market test through DOL. This process typically takes 12 to 18 months before an I-140 petition is filed. Raise your green card timeline expectations in the offer discussion, not after you've already accepted.
Master Data Management at Apple jobs are hiring across the US. Find yours.
Find Master Data Management at Apple JobsFrequently Asked Questions
Does Apple sponsor H-1B visas for Master Data Managements?
Yes, Apple sponsors H-1B visas for Master Data Management roles. MDM positions typically meet the H-1B specialty occupation standard because they require at minimum a bachelor's degree in information systems, computer science, or a related technical field. Apple participates in the annual H-1B cap lottery, so the timing of your offer relative to the April filing window directly affects your start date.
How do I apply for Master Data Management jobs at Apple?
Apply directly through Apple's careers site and filter by data or operations roles. Tailor your resume to emphasize data governance frameworks, master data domains you've managed (product, vendor, or customer), and any experience with Apple-adjacent systems like SAP or supply chain platforms. You can also browse confirmed sponsorship-eligible MDM openings at Apple through Migrate Mate to identify active roles before applying.
Which visa types does Apple commonly sponsor for Master Data Management roles?
Apple sponsors H-1B, H-1B1 (for Chilean and Singaporean nationals), E-3 (for Australian citizens), and TN visas (for Canadian and Mexican professionals under USMCA) for MDM positions. Apple also accepts F-1 OPT and CPT for candidates in their authorized training period. For longer-term paths, Apple supports EB-2 and EB-3 Green Card sponsorship for qualifying employees.
What qualifications does Apple expect for Master Data Management roles?
Apple's MDM roles typically require a bachelor's degree in information systems, data management, supply chain, or computer science. Hands-on experience with MDM platforms such as Informatica, SAP MDG, or Stibo STEP is strongly preferred. Familiarity with product data governance in an electronics or hardware manufacturing environment is a differentiator, given how central accurate BOM and product catalog data are to Apple's operations.
How do I apply for Master Data Management jobs at Apple?
How long does the visa sponsorship process take at Apple for MDM roles?
See which Master Data Management at Apple employers are hiring and sponsoring visas right now.
Search Master Data Management at Apple Jobs