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Apple

ACBIOS AI Natural Language Data Analytics Engineering Program Manager

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Sunnyvale, California, United States

1d ago
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Job Description

Description

Description
Drive program execution for our ACBIOS AI Natural Language Data Analytics Program, coordinating efforts between IS&T AI platforms and AppleCare business teams. Handle project timelines, achievements, and deliverables, ensuring alignment with strategic objectives. Support the development and integration of Python and SQL AI Natural Language Analytics capabilities, focusing on their role in leading the analytics infrastructure and supporting AI model deployment, ensuring they meet business and technical requirements. Facilitate collaboration among business users, data scientists, and engineers, ensuring AI/ML models are effectively coordinated and visible to collaborators. Lead dependencies across multiple teams, ensuring seamless integration that enhances AI conversational data analytics. Identify risks, remove blockers, and proactively drive solutions to meet program goals. Communicate project status, challenges, and key decisions to leadership and stakeholders. Ensure technical teams have the necessary resources and alignment to execute efficiently.

Minimum Qualifications

Minimum Qualifications
  • Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • Excellent presentation-making and presentation skills.
  • Agile methodology project management skills.
  • 5+ years of experience as an Engineering Program Manager or Technical Program Manager, managing AI/ML, data science, or analytics projects.
  • Strong SQL developer experience.
  • Strong Python developer experience.
  • Experience in data science or data analytics roles.
  • Drive complex multi-functional programs in a fast-paced environment.
  • Strong problem-solving skills and ability to manage technical discussions across engineering, data science, and product teams.
  • Superb communication and stakeholder management skills, with the ability to translate technical challenges into business insights.

Key Qualifications

Key Qualifications

Preferred Qualifications

Preferred Qualifications
  • PhD in Computer Science, Data Science, Engineering, or a related field.
  • Experience working on data cataloging and lineage tracking, with a strong emphasis on knowledge graph generation.
  • Familiarity with graph database development, with experience in TigerGraph being a plus.
  • Familiarity with LLM prompting techniques, including few-shot prompting, chain-of-thought reasoning, and retrieval-augmented generation (RAG).
  • Familiarity with LLM fine-tuning practices.
  • Familiarity with working on open-source projects and engaging with external developer communities.

Education & Experience

Education & Experience

Additional Requirements

Additional Requirements

Pay & Benefits

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 $140,700 and $234,700, 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.

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  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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