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# Senior Data Science Manager - Strategic Data Solutions

- **Company:** Apple Inc.
- **Location:** Cambridge, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Infrastructure, Data Integrity, Data Transformation, Data Presentation, Data Systems, Monitoring of Systems, Python (Programming Language), Performance Tuning, SQL Databases, Snowflake, Apache Spark, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** September 3, 2026
- **Apply:** https://www.businessworkforce.com/job.asp?id=3375512298&tx=JT10092UYD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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
 * 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

## 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 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


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