{"schemaVersion":"jobsearcher.job.v1","id":"cd4dc33eb9183b4381504c79","url":"https://jobsearcher.com/jobs/cd4dc33eb9183b4381504c79","canonicalUrl":"https://jobsearcher.com/jobs/cd4dc33eb9183b4381504c79","title":"Data Strategy & Program Lead, PART DataOps","description":"Data Strategy & Program Lead, PART DataOpsApple is seeking an experienced Data Strategy & Program Lead to join our Finance Process, Analytics, Reporting & Technology (PART) Data Operations team. You will own the data strategy and roadmap behind the data foundations that power Retail Finance — directing the engineers who build them and partnering closely with our IT and technical partner teams to deliver trustworthy, high-quality data at scale. This is a role for someone who thinks strategically about data, defines what \"good\" looks like, and orchestrates the people and partners needed to get there. If you're energized by ambiguous problems, cross-functional influence, and turning a portfolio of data initiatives into measurable business impact, we'd love to hear from you.ResponsibilitiesOwn the data strategy and multi-quarter roadmap for Retail Finance data, partnering with cross-functional leadership to define and gain buy-in on a long-term visionDefine \"what good looks like\" — setting standards, principles, and success metrics for data quality, reliability, and delivery — and hold the work to themTranslate Retail Finance business needs into clear requirements, prioritized initiatives, and well-scoped projectsDirect the priorities, workload, and delivery of data engineering resources, balancing competing demands while maintaining qualityPartner with Apple's IT and technical partner teams who hold deep data engineering expertise — directing the work, making trade-off decisions, and ensuring solutions are scalable, efficient, and well-architectedEstablish and champion data governance frameworks, including data quality, validation, monitoring, and ownershipMonitor initiatives from intake through delivery — planning schedules, managing dependencies, surfacing risks, and keeping stakeholders informedArticulate priorities, trade-offs, and technical concepts in business context to senior Finance, Sales, and Operations leadersDrive adoption of data products and self-service capabilities across the Retail Finance organizationChampion modern technology and AI adoption across the team and the analysts we support, helping the organization understand where new tools can drive leveragePlan and run enablement activities — training, workshops, summits — to build data fluency across Retail FinanceMinimum Qualifications8+ years in program/project management, data strategy, business analysis, or technical program management roles, with a strong data and technology focusDemonstrated experience owning and delivering complex, cross-functional initiatives end-to-end in an ambiguous, fast-paced environmentStrong technical fluency: able to read and reason about SQL and data pipelines, understand data warehouse/lakehouse architecture, and credibly challenge technical designs and trade-offsProven ability to influence and build trust across all levels of an organization, including with senior leadership and technical partner teamsBS or equivalent degree in Engineering, Computer Science, Finance, Business, or a related fieldPreferred QualificationsExperience directing, mentoring, or managing engineers, contractors, or technical project teamsWorking familiarity with the modern data stack and concepts behind technologies like Python, SQL, Airflow, Spark, Trino, Kafka, Docker, Iceberg, and Databricks — enough to set direction and make informed decisions, even if you're not the hands-on builderExperience establishing data governance, data quality, and data product frameworksProficiency in process mapping, business process analysis, and systems development lifecyclesFamiliarity with SDLC best practices, version control, and CI/CDA point of view on applying AI/LLM tooling to improve analyst and engineering workflowsExperience with cloud platforms (AWS, GCP, Azure) for data infrastructureExperience managing large-scale data migrations or onboarding data from external partnersFinance and accounting process experience; familiarity with Retail or Sales Finance a plusBS or MS in Engineering / Computer SciencePay & BenefitsAt 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 $146,300 and $244,100, 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. Learn more about Apple Benefits 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, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants Apple accepts applications to this posting on an ongoing basis.","company":"Apple","rawCompany":"apple","city":"Cupertino","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-26T03:30:44.328Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Strategy & Program Lead, PART DataOps","description":"Data Strategy & Program Lead, PART DataOpsApple is seeking an experienced Data Strategy & Program Lead to join our Finance Process, Analytics, Reporting & Technology (PART) Data Operations team. You will own the data strategy and roadmap behind the data foundations that power Retail Finance — directing the engineers who build them and partnering closely with our IT and technical partner teams to deliver trustworthy, high-quality data at scale. This is a role for someone who thinks strategically about data, defines what \"good\" looks like, and orchestrates the people and partners needed to get there. If you're energized by ambiguous problems, cross-functional influence, and turning a portfolio of data initiatives into measurable business impact, we'd love to hear from you.ResponsibilitiesOwn the data strategy and multi-quarter roadmap for Retail Finance data, partnering with cross-functional leadership to define and gain buy-in on a long-term visionDefine \"what good looks like\" — setting standards, principles, and success metrics for data quality, reliability, and delivery — and hold the work to themTranslate Retail Finance business needs into clear requirements, prioritized initiatives, and well-scoped projectsDirect the priorities, workload, and delivery of data engineering resources, balancing competing demands while maintaining qualityPartner with Apple's IT and technical partner teams who hold deep data engineering expertise — directing the work, making trade-off decisions, and ensuring solutions are scalable, efficient, and well-architectedEstablish and champion data governance frameworks, including data quality, validation, monitoring, and ownershipMonitor initiatives from intake through delivery — planning schedules, managing dependencies, surfacing risks, and keeping stakeholders informedArticulate priorities, trade-offs, and technical concepts in business context to senior Finance, Sales, and Operations leadersDrive adoption of data products and self-service capabilities across the Retail Finance organizationChampion modern technology and AI adoption across the team and the analysts we support, helping the organization understand where new tools can drive leveragePlan and run enablement activities — training, workshops, summits — to build data fluency across Retail FinanceMinimum Qualifications8+ years in program/project management, data strategy, business analysis, or technical program management roles, with a strong data and technology focusDemonstrated experience owning and delivering complex, cross-functional initiatives end-to-end in an ambiguous, fast-paced environmentStrong technical fluency: able to read and reason about SQL and data pipelines, understand data warehouse/lakehouse architecture, and credibly challenge technical designs and trade-offsProven ability to influence and build trust across all levels of an organization, including with senior leadership and technical partner teamsBS or equivalent degree in Engineering, Computer Science, Finance, Business, or a related fieldPreferred QualificationsExperience directing, mentoring, or managing engineers, contractors, or technical project teamsWorking familiarity with the modern data stack and concepts behind technologies like Python, SQL, Airflow, Spark, Trino, Kafka, Docker, Iceberg, and Databricks — enough to set direction and make informed decisions, even if you're not the hands-on builderExperience establishing data governance, data quality, and data product frameworksProficiency in process mapping, business process analysis, and systems development lifecyclesFamiliarity with SDLC best practices, version control, and CI/CDA point of view on applying AI/LLM tooling to improve analyst and engineering workflowsExperience with cloud platforms (AWS, GCP, Azure) for data infrastructureExperience managing large-scale data migrations or onboarding data from external partnersFinance and accounting process experience; familiarity with Retail or Sales Finance a plusBS or MS in Engineering / Computer SciencePay & BenefitsAt 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 $146,300 and $244,100, 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. Learn more about Apple Benefits 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, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants Apple accepts applications to this posting on an ongoing basis.","datePosted":"2026-06-26T03:30:44.328Z","dateModified":"2026-06-26T03:30:44.328Z","hiringOrganization":{"@type":"Organization","name":"Apple","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cupertino","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cd4dc33eb9183b4381504c79"},"url":"https://jobsearcher.com/jobs/cd4dc33eb9183b4381504c79"}}