Data Strategy & Program Lead, PART DataOps

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$146,300–$244,100 / yr
Posted
88 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $195k
$134k most similar roles pay here $256k

This role pays more than 58% of similar roles. Most pay $149,312–$216,300 — the shaded band above. At the midpoint, this role pays about $195k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Data Strategy & Program Lead, PART DataOps

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Apple’s PART DataOps team seeks a seasoned Data Strategy & Program Lead to oversee the data strategy and roadmap for Retail Finance. This role involves directing engineers in building high-quality data foundations that process billions of records daily, ensuring these systems are scalable and efficient. The ideal candidate will translate business needs into technical requirements, prioritize initiatives, and work closely with IT and partner teams to deliver trustworthy data at scale. Key responsibilities include setting standards for data quality, establishing governance frameworks, and driving adoption of modern technologies like AI and the latest data stack tools such as Python, SQL, Airflow, Spark, and Databricks. The role demands strong technical fluency, cross-functional influence, and the ability to articulate complex concepts to senior leadership in a fast-paced environment with ambiguous challenges.

Skills

SQL Python Airflow Spark Trino Kafka Docker Iceberg Databricks AWS GCP Azure CI/CD SDLC Git

What you'll do

  • Own the data strategy and multi-quarter roadmap for Retail Finance data.
  • Define standards and success metrics for data quality, reliability, and delivery.
  • Translate business needs into clear technical requirements and prioritized initiatives.
  • Direct priorities and workload of data engineering resources to maintain quality.
  • Partner with IT and technical teams to ensure scalable and efficient solutions.

What we're looking for

  • 8+ years of experience in program/project management with a focus on data strategy and technology
  • Proven ability to manage complex, cross-functional initiatives in ambiguous environments
  • Strong technical fluency in SQL, data pipelines, and modern data architecture concepts
  • Demonstrated skill in influencing and building trust across all organizational levels, including senior leadership
  • Experience directing priorities and workload of data engineering resources while maintaining quality standards
  • BS or equivalent degree in Engineering, Computer Science, Finance, Business, or a related field
  • Familiarity with cloud platforms for data infrastructure (AWS, GCP, Azure)

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