Job Description

Imagine what you could do here. At Apple, great 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. You are at Apple don't just build products - you build the kind of wonder that's revolutionized entire industries. It's the diversity of you and your ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. We are looking for a Data and Machine Learning Program Manager to support data systems, automation, machine learning, tools that enhance manufacturing of Apple's products. This team is made up of creative innovators and problem solvers who tackle unique challenges to ideate, create POCs and deliver new solutions in the data space. It takes deeply dedicated, intelligent and hard-working individuals to maintain and exceed the high expectations for the exciting iPhone brand and other products at Apple. You will craft, design and implement our machine learning strategy to the massive iPhone supply chain and help build the future of our manufacturing systems. Do you love using your creative left brain and structured, tactical right brain to drive projects to build systems, innovate with ML/analytics, and find operations efficiencies?

Key Qualifications Key Qualifications

• 10+ years of project management experience in highly technical field
• Exceptional interpersonal skills
• Knowledge of emerging concepts like machine learning and predictive analytics (Deep Learning, Python, R, Neural Networks, applied Data Science) a strong plus
• Strong Excel skills, including pivots, vlookups, conditional formatting, large record sets
• Familiarity with databases, large data sets, reporting Tableau and SQL a plus
• Proven relationship building and ability to effectively influence peers and management
• Self-starter and able to seek out new problems then develop and implement solutions
• A strong sense of ownership
• General operations knowledge, good judgment on what is meaningful and what is not
• Able to develop and present complex problems in a simple way
• Ability to quickly switch between details and the big picture
• Ability to work under pressure and with tight timelines
• You have strong and effective written and verbal communication skills and you can tailor your message to your audience
• Travel up to 25% and work hour flexibility required in this dynamic, global position
• Able to work independently when managing multiple priorities in an unstructured, global and virtual environment is essential
• Highly desirable to have high tech manufacturing, Supply Chain Management, NPI or Manufacturing Operations related education / experience (but not required)

Description Description

In this role you will be responsible for planning and managing deployment of various business solutions for the iPhone Product Operations organization. - Lead and participate in efforts for process standardization, ideation and development of tools, and implementation through successful completion. - Lead the ideation, prototyping, and business justification/validation of solutions for Product Ops - Work closely with engineering teams on technical development and deployment of high-quality solutions - Lead the definition and execution of scalable solutions to support core internal customer needs and to improve process efficiencies - Process re-engineering or build out enhancements - Identify inefficient process and help enable better decisions leveraging data, AI, Machine Learning or all 3 together - Prototype solutions before providing recommendations on directions. e.g. create dashboard mock-ups before investing in development effort - Program management of machine learning initiatives - scoping, prioritization, resourcing, and implementation - Comfortable and flexible in serving both supporting and leadership roles for various projects

Education & Experience Education & Experience

BE / BTech or Masters in Computer Science Engineering. MBA is considered a plus