Director of Engineering, AiDP Data Services

Apple is where individual imaginations gather together committing to the values that lead to great work. Every new product we build service we create or Apple Store experience we deliver is the result of us making each others ideas stronger. That happens because each of us shares the belief that we can create something wonderful and share it with the world changing lives for the better. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in we can do the best work of our lives. Here youll do more than join something youll add u0026 Data Platforms (AiDP) is ISu0026Ts engine for AI-powered innovation. The team brings together data application development and machine learning including generative AI along with data services and customer success functions to help ISu0026T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

We are seeking an experienced and visionary Engineering Director to lead our Data Services organization. This critical role will be responsible for defining developing and managing the data strategy and platforms that underpin our diverse product portfolio spanning consumer electronics services and manufacturing. The data store technologies span diverse data structures including but not limited to Search Vector Graph Relational NoSQL Cache Queues and Enterprise Analytics solutions. The successful candidate will drive innovation in data engineering database management and both transactional and analytics data platforms to support the companys expansive and evolving data needs.

Define and execute the strategic roadmap for data services aligning with overall business objectives and technological and mentor a high-performing team of data architects data engineers and database the design development and maintenance of open-source and commercial databases for highly scalable and robust data the reliability performance and security of all data the adoption of best practices in data engineering data quality and data Next Gen AI capabilities into the data platforms to enhance functionality and with product engineering and business teams to understand data requirements and deliver innovative data and integrate new data technologies and tools to enhance capabilities and efficiency.

MS or PhD in Computer Science or a related technical field.n20 years of progressive experience in large-scale enterprise least 10 years of focused experience in data engineering database management and the development/operation of transactional and analytics data leadership in managing and scaling data services for complex high-volume data expertise in modern data architectures data governance and data security best understanding of the data challenges and opportunities within consumer electronics services and manufacturing communication strategic thinking and leadership skills with the ability to influence and collaborate across diverse teams.

Experience with cloud-native data platforms and services (e.g. AWS Azure GCP).nFamiliarity with machine learning operations (MLOps) and integrating AI/ML models into data ability to drive cultural change and adoption of new data in a highly regulated industry or with stringent data compliance requirements.