EPM, Applied Machine Learning, AI & Data Platforms (AiDP)

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 theres no telling what you could accomplish. Apples Applied Machine Learning team has built systems for a number of large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business. We use the latest in open source technology and as committers on some of these projects we are pushing the envelope. Working with multiple lines of business we manage many streams of Apple-scale data. We bring it all together and extract the value. We do all this with an exceptional group of software engineers data scientists dev-ops engineers and managers.

Join Apples AML Team as Engineering Program Manager. This role requires a combination of product and project management strong engineering background and the ability to build collaborative relationships across various teams in Apple. We are looking for someone who loves digging into details driving operational efficiencies under demanding timeframes and driving large complex projects. You will partner with Wallet Payment and Commerce Apple Services and Data Science teams to manage programs focused on preventing fraud. You would be working with various engineering teams to enhance the AML platform and develop new integrations. You would be expected to lead the team in delivering solutions that meets Apples business goals while maintaining the highest industry and Apple Information Technology standards.

3 years of project management experience delivering projectsnKnowledge of various project management methodologies e.g. Waterfall Agile/ScrumnBachelors Science Degree in Computer Science or foreign equivalent with 5 years of experience

Bachelors Science Degree in Computer in Business Management certification is a plus.n5 years of Technical Program Management/ Engineering Management experience. Experience working with operations teams vendors and ability to build project summaries roadmaps creative concepts impact analysis and prioritization in order to influence knowledge and understanding of key architecture components of distributed computing systems software development lifecycle including requirements analysis design development testing and of technical understanding in cloud big-data platforms and machine in Keynote or Powerpoint to effectively interact influence and communicate at various levels of the organization.