Senior Data Science Manager – Strategic Data Solutions

Job description

Senior Data Science Manager – Strategic Data Solutions

Austin, Texas, United States Software and Services

Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.Apple’s Strategic Data Solutions team is looking for an accomplished data science and analytics leader to build and lead a diverse team of senior individual contributors who are experts in analytics and experimentation. You’ll primarily partner with machine learning engineering leaders to deliver high-impact science and analytics that power decision automation and optimize performance across a wide range of business goals.

Description

Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation

Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization

Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources

Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale

Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domainsPartner with cross-functional leaders to align analytics initiatives with strategic objectives

Evangelize data science best practices and help embed a data-informed culture across teams

Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes

Minimum Qualifications

Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, or a related field

7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles

2+ years of experience leading and mentoring data-focused teams

Proficiency in SQL and at least one programming language (e.g., Python, R)

Strong background in experimentation design, causal inference, and statistical analysis

Experience working with large-scale data pipelines and production-level analytics systems

Proven ability to drive measurable business impact through data and automation

Preferred Qualifications

Experience with building robust monitoring systems to track data and model health in production

Expertise in data storytelling and creating stakeholder-ready visualizations and narratives

Ability to connect insights to business outcomes and influence strategy

Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling

Passion for fostering inclusive team environments and valuing diverse perspectives

Clear communicator who can translate complex technical concepts into actionable business language

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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Who can apply

Review the original listing for work authorization, qualifications and employer requirements.