Senior Data Science Manager – Strategic Data Solutions

Apple • Austin, TX

4d

About The Position

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.

Requirements

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

Nice To Haves

• Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling
• Passion for fostering inclusive team environments and valuing diverse perspectives

Responsibilities

• 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 domains
• Partner 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior