Technical Project Manager

Job Summary

Apple's Hardware Technology Engineering (HWTE) Mechanical Engineering EPM Engineering Services role is responsible for owning and maintaining high-quality design data within the Incline platform across VPG, Watch, and Accessories programs, while also supporting AI tool development that leverages this engineering data. The role acts as a bridge between HWTE engineering teams, EPMs, vendors, and AI tool developers by driving data governance, data hygiene, documentation standards, and cross-functional coordination to ensure AI tools can effectively consume, analyze, and generate insights from engineering datasets. The position is based in Shanghai, China and supports both operational program execution and AI-enabled engineering initiatives.

Key Responsibilities

· Own and administer Incline design data for VPG, Watch, and Accessories programs.

· Ensure engineering data, BOM structures, reports, metadata, and documentation remain complete, accurate, and current.

· Establish and maintain data governance processes, naming conventions, part numbering standards, and data hygiene practices.

· Audit existing Incline datasets and remediate gaps, duplicate entries, inconsistencies, and missing documentation.

· Collaborate with HWTE teams and vendors to resolve data quality issues and close documentation gaps.

· Support AI tool development by providing domain expertise, validating outputs, and assisting with data preparation and labeling activities.

· Serve as the primary point of contact for AI tool developers requiring guidance on Incline data structures and semantics.

· Generate and publish weekly status reports covering data quality, program progress, and AI support activities.

· Identify and escalate data quality risks that may impact AI development timelines or result accuracy.

· Conduct data assessment, cleanup, and administration activities throughout the project lifecycle.

· Monitor vendor performance issues and support performance management activities where required.

· Maintain long-term data hygiene and compliance with approved engineering database and data-sharing processes.

Skill Requirements

· Strong understanding of hardware engineering documentation, including mechanical/electrical drawings, BOMs, test reports, CPK, FAI, and SPC concepts.

· Experience with engineering data administration, data governance, and large-scale data quality management.

· Ability to quickly learn and work within the Incline platform and associated engineering data models.

· Knowledge of AI/ML tools and workflows, including LLM-based tools, prompt engineering, data preparation, and AI-driven analytics.

· Data analysis and scripting skills using tools such as Python and SQL.

· Strong analytical and problem-solving capabilities for identifying and resolving data anomalies.

· High attention to detail with a systematic approach to data auditing and cleanup.

· Excellent cross-functional communication and stakeholder management skills.

· Proficiency in standard productivity tools (Microsoft Office and/or Apple productivity suites).

Other Requirements

· Location: Shanghai, China. (or Shenzhen)

· Time-zone flexibility to support China and India teams.

· 12-month engagement/project duration.

· Ability to work closely with HWTE, Mechanical Engineering, EPM, vendor, and AI development teams.

· Familiarity with engineering product development environments covering VPG, Watch, and Accessories programs is preferred.

· Exposure to AI/ML tooling and willingness to support emerging AI use cases.

· Ability to support documentation standardization, compliance activities, and engineering data lifecycle management.

· Strong ownership mindset and capability to operate independently in a highly cross-functional environment.