AIML - Lead Engineering Program Manager, Data Platform

*Define the roadmap, and drive adoption of the right scalable and flexible privacy-preserving ML Infra and data platform to empower

*Apple development teams to effectively ingest, store, process, transform, analyze, and curate data for Machine Learning and analytics  

*Proactively identify use cases from internal partners, build cases, define requirements and product specs.

*Work with cross-functional leaders and partners to establish roadmap  

*Create a robust feedback loop with collaborators, partners and users to continuously improve products  

*Come up with product metrics to measure the success of our data platform in relation to overall MLPT product goal  

*Evangelize data products and drive platform product adoption  

*Build relationships across Apple organization and facilitate communication between cross-divisional groups  

*Be the driver, evangelist, problem-solver, and leader who helps our engineering and operations team gather and use data that makes

*Apple’s MLPT platform the world’s best for machine learning while aligning with our strong privacy guarantees to our users

• 8+ years experience in a role leading ML Infrastructure data products and cross-functional teams as a product leader
• Consistent record of delivering reliable and large-scale ML Infra and data platform products including storage, feature store, data management, data versioning, privacy, data governance, analytics tools, large- scale and high-throughput backend services, and/or user-facing applications that use those services
• Strong program management and technical skills to effectively drive cross functional programs spanning multiple organizations
• Knowledge of cloud technologies and experience in hybrid cloud ML Infra and data platform
• Experience mentoring product and program managers
• Passionate about delivering the best user experience by providing thought leadership on end-to-end user experience for technical products
• Strong user empathy and drive to define the product strategy by actively interviewing users & running surveys to craft the product roadmap
• Establishes strong partnership with engineering teams by translating user needs into detailed product requirements
• Ability to use data and metrics to back up assumptions, make recommendations, drive actions and measure success
• Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (real-time) triage, prioritize, drive consensus and lead cross- functional teams under pressure
• Outstanding communication and presentation abilities to share the product vision, influence leaders, motivate engineering teams and evangelize the product
• Highly developed drive to improve how things work, with a track record of driving improvements for team quality, performance, agility and effectiveness