Engineering Program Manager, Services Data Science & Analytics - Jobs - Careers at Apple
- Own a portfolio of analytics initiatives for a given service (or services), collaborating with Data Science, Business Intelligence, Data Engineering, Product, Engineering, QA, Legal, and other teams to ensure delivery of scalable, privacy-friendly data and insights.
- Drive complex, cross-functional, and comprehensive project plans independently, tracking multiple concurrent projects including scope, requirements, timelines, roadmaps, project plans, resource allocation, stakeholder management, communications, and risk mitigation, both within the team and with multiple project partners.
- Meaningfully contribute to the evolution of the Services Data Science & Analytics PMO by refining and scaling processes, tooling, and automation.
- Demonstrate leadership through exceptional verbal and written communication, taking ownership of work with thoroughness and thoughtfulness, exhibiting tact in attention to key details, escalations, and communications, and motivating and inspiring project teams and colleagues.
- 5+ years of hands-on program management experience, specifically with initiatives involving analytics, Big Data, data governance, AI, and/or data engineering
- Deep expertise in data science and analytics workflows and/or data engineering concepts
- Excellent organizational skills with acute attention to detail and the ability to manage multiple projects in a fast-changing environment
- Demonstrated ability to communicate extraordinarily well, with strong facilitation and presentation skills and a knack for fostering positive relationships
- Proficiency with project management, code management, and AI tools such as GitHub, JIRA, Zenhub, Asana, Wrike, Keynote, Claude, ChatGPT, or equivalents
- Proven experience operating with natural accountability, self-motivation, curiosity, flexibility, and a dedicated problem-solving mindset
- BS in Information Systems, Data Science, Computer Science, Business, or Engineering preferred, or relevant and equivalent industry experience including data analytics experience with business acumen and data comprehension
- Familiarity with data governance, data privacy, licensing, or responsible AI principles
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Required Skills
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🇬🇧 English