Data ML Program Manager- Product Operations

Waterloo, Ontario, Canada

Apple

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Summary

Posted: Nov 11, 2024
Weekly Hours: 40
Role Number:200577798

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their 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. Product Operations group is looking to add 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 products at Apple. The Product Operations Data Team is looking for an extraordinary Program manager to join our team. You will craft, design and implement our machine learning strategy to the massive 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?

Description


In this role you will be responsible for planning and managing deployment of various business solutions for the Product Operations organization. We 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

Minimum Qualifications


  • 3+ years of project management experience in highly technical field
  • BS Degree or MS in Computer Science, Engineering, or similar field or hands on experience in technical roles


Preferred Qualifications


  • MBA is considered a plus
  • 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.
  • International 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



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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Computer Science Deep Learning Engineering Excel Machine Learning Prototyping Python R SQL Tableau

Perks/benefits: Career development Flex hours

Region: North America
Country: Canada

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