Senior Analytics Engineer, Health Operations; MSO

Cupertino, California, United States Software and Services

Our ever-evolving suite of Heath and Wellness products for iPhone and Watch are helping our users live more active, healthier lives. Be ready to make something great when you come here. Dynamic, inspiring people and innovative, industry-defining technologies are the norm  people who work here have reinvented and defined entire industries with our products and services. The same dedication to innovation also applies to our business practices - strengthening our commitment to leave the world better than we found it.

Imagine what you can do here. AC Wellness Network LLC is a subsidiary of Apple Inc. and is an exclusive management services organization (MSO) for AC Wellness, a dedicated independent medical group that serves Apple Wellness Centers in Santa Clara Valley and digitally, across the US. Our mission is to deliver the world’s best healthcare experiences for Apple employees and their families.

We are seeking a senior, full-stack Analytics Engineer who is passionate about crafting quantitative models and data solutions that have a direct, measurable impact on the health and wellness experience of Apple customers. In this role, you will own the analytical frameworks, measurement architecture, and diagnostic models that tell the story of how our health operations are performing and where it is headed.

A core responsibility of this role is data analytics engineering—designing robust data models, transforming complex health operations datasets, and establishing scalable data structures that power reliable reporting and advanced analytics. You bring the rare ability to build rigorous, scalable data solutions and translate what they reveal into forward-looking insights that influence how clinical and operational leaders plan, invest, and act.

If you believe that the most powerful data science isn't just about answering questions, but also shaping the questions worth asking, this role was built for you.

You will own the design, deployment, and evaluation of end-to-end measurement plans from the ground up for the launch of new health services and features. You will partner closely with cross-functional partners across clinical, operational, product, legal, and engineering teams to define how the service measures success, tracking adoption, operational efficiency, and customer experience to translate complex data into insights that drive real decisions.

Beyond the immediate launch scope, you will serve as a technical and strategic leader within the team, driving analytics engineering best practices, and helping shape what a world-class healthcare analytics function looks like rating with high autonomy, this is a high-impact role for someone who pairs technical rigor and data visualization, with exceptional executive presence and a passion for mission-driven impact.

• Design, develop, and maintain clean, production-grade data models and transformation pipelines that translate complex health operations and clinical data into reliable, scalable analytical datasets.
• Own the design, development, and ongoing governance of analytical frameworks and KPI systems for health operations, defining what the business measures, establishing baseline metrics, and building the measurement infrastructure that makes those data actionable across operational and clinical teams.
• Conduct deep descriptive, diagnostic, and exploratory analyses on complex healthcare datasets to uncover underlying drivers, surface key operational trends, and translate quantitative findings into strategic, data-driven recommendations.
• Define, deploy, and evaluate comprehensive measurement plans for new…