AIML Sr. Privacy & Data Governance Engineer, Evaluation

Imagine what you could do here. At Apple, new ideas have a way of becoming great

products, services, and customer experiences very quickly. Bring passion and

dedication to your job, and there's no telling what you could accomplish. The

AIML Privacy and Regulatory Compliance (PaRC) team leads privacy and regulatory

compliance across AIML, partnering closely with Privacy Engineering, Privacy

Legal, Competition Legal, Government Affairs, and various regulatory groups.

This team shapes the direction of software features, models, and platforms

across the company — balancing the tradeoffs involved in building successful

products that meet Apple's high customer expectations for both quality and

privacy. PaRC leads readiness efforts across AIML to meet new regulatory and

compliance requirements, while integrating those requirements into

infrastructure and processes to ensure ongoing compliance. The team also builds

and champions the tools, monitoring programs, and practices that strengthen

AIML's overall privacy narrative. The PaRC team is looking for a Privacy & Data

Governance Engineering Lead with deep knowledge of privacy techniques and

requirements, data strategy and logging considerations, data governance

requirements, and a genuine curiosity for technology.

DESCRIPTION

In this role, you will

• collaborate with engineering, data science, legal, and
• privacy teams across Apple to lead AIML's privacy and data governance efforts.
• You will drive the development of data mappings, logs analysis, and data flow
• diagrams that serve as the foundation of AIML's data strategy, usage and
• governance efforts. You will serve as the authoritative source for data
• governance, with a deep understanding of what data AIML products and services
• store on device, what data is sent to Apple servers by them, how data is used,
• how data access is managed, and for how long data is retained. As a subject
• matter expert in AIML's privacy and data practices, you will work closely with
• the Privacy Engineering team while providing privacy pre-consultations and
• pushing privacy-enhancing designs forward in early development work. You will
• also work closely with the Compliance & Policies team to create and / or update
• data usage policies and guidelines, including codifying AIML data practices —
• collection, usage, governance, and retention — into internal policies, helping
• ensure new features meet requirements from day one, and in advocating for new
• policies and guidelines as new engineering designs require privacy
• considerations. This role is well suited for a detail-oriented privacy expert
• with a knack for data mapping, logging and strategy. It requires strong
• communication skills. You will need to thrive in collaborative environments,
• move seamlessly between the details and the big picture, and be comfortable
• working with a broad range of cross-functional partners at every level.
• MINIMUM QUALIFICATIONS
• 15+ years of experience in privacy, logging, and/or data governance. Proven
• ability to perform technical privacy analysis and reviews, and to push privacy
• efforts cross-functionally. Strong understanding of privacy, data governance,
• and AI regulations, including CCPA, GDPR, DMA, and the EU AI Act. Experience
• developing and driving data logging and usage strategies, providing privacy
• guidance, and performing risk assessments. B.S. degree or higher in Engineering,
• Privacy, Policy, or a related field.
• PREFERRED QUALIFICATIONS
• Exceptional written and presentation skills, with the ability to communicate
• clearly to both engineers and lawyers, up to and including Senior Vice
• Presidents. Experience in privacy, data governance, logging, or machine
• learning, with a track record of bridging technical and legal perspectives.
• Demonstrated ability to ramp up quickly on new technologies and navigate a
• fast-paced, dynamic environment. Strong relationship-building skills with the
• ability to work effectively across functions, levels, and disciplines. Proven
• track record of managing ambiguity and complexity while pushing for strong
• privacy-centric designs.