Technical Product Lead - Data Engineering

Technical Product Lead - Data Engineering

Cupertino, California, United States Software and Services

Are you a Technical Product Leader passionate about building data products that empower Data Scientists and Engineers? Do you excel at bridging technical architecture with product strategy to unlock the full potential of data? At Apple, we turn innovative ideas into groundbreaking products and services at an incredible pace. Join us and play a critical role in shaping the future of data-driven decision‑making!

Our Data Science & Analytics team is dedicated to enhancing customer experiences, accelerating growth, and uncovering new business opportunities, all while upholding the highest standards of user privacy. We collaborate closely with product, design, engineering, marketing, and business teams to optimize our world‑class e‑commerce and media streaming services.

As a Technical Product Lead focused on Data Engineering, you will be the strategic bridge between data scientists, engineers, and product teams. Your primary responsibility will be to define, design, and deliver data products that empower teams to perform cutting‑edge analysis, build machine learning models, and drive impactful business outcomes. You’ll combine technical product management expertise with hands‑on data engineering capabilities to prototype solutions and guide implementation.

In this role, you will lead the product strategy for data engineering solutions while maintaining deep technical involvement. You’ll work closely with data scientists and engineers to understand their needs, prototype innovative solutions, and translate complex requirements into actionable data product roadmaps. Your unique combination of product management skills and technical depth will ensure data products are built to the highest standards of quality, scalability, and user experience.

• Define and champion the data product vision, strategy, and roadmap for data engineering capabilities
• Develop detailed product requirements and specifications, ensuring alignment with stakeholder needs
• Manage product lifecycle from conception through delivery and iteration
• Collaborate with cross‑functional teams to prioritize features and manage product backlogs
• Independently design and model datasets that enable advanced analytics and ML capabilities
• Build proof‑of‑concepts and technical prototypes to validate product concepts
• Manage evolving data schemas ensuring extensibility while maintaining backward compatibility
• Partner with engineering teams to translate product vision into technical implementation
• Collaborate with Business Intelligence and Data Science teams to design solutions used across multiple workflows
• Work closely with data scientists and engineers to identify opportunities and prioritize development efforts
• Translate complex technical concepts into clear product specifications and business value propositions

• 7+ years of experience in Technical Product Management, Data Engineering, or Data Architecture roles
• 5+ years of hands‑on data architecture design, including conceptual, logical, and physical data models
• 3+ years leading cross‑functional product initiatives in data engineering or analytics domains
• 5+ years of experience in Python, SQL, and modern data stack technologies with ability to build prototypes
• Proven experience defining product strategy and roadmaps aligned with technical and business objectives
• Strong product management fundamentals including requirements gathering, prioritization, and stakeholder management
• Excellent communication, collaboration, and presentation skills with ability to influence technical and business stakeholders
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field

• Experience with data warehouses, data lakes, real‑time processing, ML platforms
• Experience working with Commerce, Subscription, or Pricing data systems
• Product management experience in data platform or analytics tools
• Track record of implementing innovative data products from concept to delivery
• Experience with data product management…