Data Science Manager - System Analytics & Intelligence
Core OS ships the foundational software that powers every Apple product. At the scale and complexity of that work, accelerating developer productivity, elevating software quality, and shaping where the organization invests next demands more than intuition. It requires turning massive amounts of workflow data into clear, strategic intelligence. The System Analytics & Intelligence (SAIL) team exists to do exactly that: identify what matters most, drive meaningful improvements to the developer experience, and help drive the initiatives that keep Core OS teams focused on highest-impact work.
We are looking for a leader who is passionate about that problem, someone who sees data not as an end in itself, but as a means to drive real organizational change. You will lead a team of data scientists and analysts, and you will define what it means for Core OS to truly understand itself: to see the forest, not just the trees, and to point confidently to where investment will have the greatest impact on quality and developer productivity.
Description
As the manager for the SAIL team, you will own the vision and execution for how Core OS measures what matters and acts on it. The opportunity ahead is to build the strategic intelligence function for Core OS: systems that synthesize signals from across the development lifecycle to proactively identify systemic bottlenecks, predict quality risk, and guide leadership investment decisions before problems escalate.
This role requires more than technical depth in data engineering and analytics. It requires the judgment to know which questions are worth asking and the influence to ensure the answers drive action. You will build and maintain strong partnerships with engineering teams, workflow champions, and leadership across Core OS organizations. Candidates who thrive in this role will be energized by ambiguity, motivated by impact, and committed to building something Core OS didn't know it needed.","responsibilities":"Manage, mentor, and grow a team of data scientists and analysts; coach team members to connect their work to measurable outcomes and gradually build a culture where the team drives impact, not just delivery
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Define and execute the technical vision for Core OS workflow analytics, guiding the design and development of large-scale data pipelines, transformation workflows, and analytics platforms
Move the team beyond reporting and toward proactive strategic intelligence, synthesizing signals across Core OS to surface investment recommendations and identify systemic quality and productivity risks before they escalate
Partner with stakeholders across Core OS organizations to identify analytics needs, prioritize initiatives, and drive adoption of data products that improve developer productivity and software quality
Lead efforts to apply emerging technologies like LLMs, graph-based diagnostics, and predictive analytics to Core OS workflow and quality problems
Preferred Qualifications
5+ years of experience leading teams of data engineers, data scientists, or analytics engineers
Experience with modern data stack tools, business intelligence platforms such as Tableau, and background in software development workflows, CI/CD systems, or developer productivity
Experience with graph databases, graph algorithms, or machine learning/LLM applications in software engineering domains
Experience making data insights easily accessible to stakeholders through web services, APIs, or other scalable delivery mechanisms across large engineering organizations
Advanced degree in Computer Science, Data Science, Statistics, or related field
Minimum Qualifications
5+ years of experience building production data systems (Python, SQL, or similar languages) and working with data platforms and distributed systems
Strong foundation in data analytics, including experience with business intelligence tools, statistical analysis, and data visualization
Demonstrated ability to translate complex data into actionable insights and clear narratives for technical and executive audiences
Excellent stakeholder management skills with experience partnering across multiple teams and organizations
Proven track record of delivering data products that drive measurable business or engineering outcomes
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .
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 $176,600 and $313,500, 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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
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Financial and Retirement
Professional Development
Diversity and Inclusion
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