Engineering Project Manager- Data Foundation (Wallet and Payments)

Apple • Cupertino, CA

3d

About The Position

As an Engineering Project Manager, you will be working directly with engineering teams to deliver large-scale, cross functional and cross-platform programs. You will be responsible for planning, execution, and reporting of associated projects. You will collaborate with other EPMs within the Wallet and Payment organization , as well as other groups within Apple. You will be responsible for running large scale data platform projects by identifying deliverables, managing risk and improving our processes while working towards successful outcomes. If you love non-routine work that requires social intelligence, critical thinking, and creative problem solving, we’d love to hear from you!

Requirements

• Self-starter with 7+ years of strong experience in technical program management, engineering management, or a related field
• Strong experience managing programs in data engineering, data platforms, distributed systems or analytics infrastructure
• Understanding of the modern data stack: Data lakes, Batch /stream processing framework, Orchestration tools, Cloud platform, Data processing platform.
• Solid project management, organizational skills, ability to prioritize multiple tasks and follow through deadlines/projects simultaneously under minimal supervision
• Experience at prioritizing features, and building technical roadmaps
• Solid track record to work effectively with multiple stakeholders across various business units.
• Self-motivated and proactive with demonstrated creative and critical thinking capabilities
• Strong analytical, problem-solving and facilitation skills coupled with good business insight.
• Outstanding presentation, oral and written communication and interpersonal skills including the ability to interact effectively with individuals and groups at all levels of the organization including external partners.

Nice To Haves

• Experience in large-scale data platform modernization or migration programs.
• Experience implementing data governance, privacy, lineage, or catalog solutions.
• Familiarity with ML platforms or MLOps workflows
• Exposure to security and compliance areas would be a plus

Responsibilities

• planning
• execution
• reporting of associated projects
• identifying deliverables
• managing risk
• improving our processes

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed