AIML - Sr Engineering Program Manager, Data

Key Skills

Aartificial intelligence, Apache Airflow, Apache Hadoop, Apache Hive, Apache Pig, Data Engineering, Effective communication skills, HBase, Jupyter Notebook, Luigi, Machine learning techniques, MapReduce, Planning and organization, Presentation skills, Program Management, Python Programming, SPARK Programming

Job Description

• Manage data collection and streamlining processes, creating frameworks that scale across different teams, and supporting and maintaining the operations of those processes.

• Own program and project planning for partner Data Engineering team, including gathering requirements, scoping effort, prioritization and resource allocation, blocking and tackling, and schedule of deliverables.

• Contribute to product definition with partner Data Engineering team, identifying and understanding customer needs and priorities, and developing roadmap.

• Facilitate communication cross-functionally with other teams, ensuring that requirements are well understood, and that priorities and delivery schedules expectations are managed.

• Build and run processes that allow for the maximum agility and adaptation across data engineering teams to collect data and understand our products.

• Build relationships across the AIML organization and across Apple, aiding teams in working with data engineering; facilitate communication between cross-divisional groups around Apple.

Key Qualifications

• 5+ years project management, engineering management, and/or QA/QC engineering experience for software development quality in a fast paced, incredibly sophisticated service.
• Technical program management or engineering ownership of data collection, pipelines, or tools used by internal engineering teams; experience driving on roadmaps/long-term strategy of internal tools & systems.
• Experience gathering, analyzing, and presenting data and metrics to back up assumptions, make recommendations and drive actions.
• Career examples of hands-on involvement of delivering instrumentation, data platforms, data tools, or data processes that improved the customer experience.
• Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly triage, prioritize, and lead under pressure.
• Outstanding communication and presentation skills, written and verbal, to all levels of an organization.

Education & Experience

BS/MS EE/CS/CE or equivalent

Additional Requirements

Bonus if you have prior data analysis experience (SQL, Python/Jupyter Notebooks, Tableau, Superset)

Bonus if you have prior experience exploring data formats and tools for big data systems (e.g. Parquet, Avro, Protobuf).

Bonus if you have prior experience working with data engineers (e.g. engineers who use tools such as Airflow, Luigi, Jenkins, MapReduce, Pig, Spark, Hadoop, Hive, HBase, Greenplum, Vertica, etc.)

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $152,400 and $268,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.