Global Data Science & Engineering Manager (Remote)

1 DexCom Inc; San Diego (CA); On-site; USD 142,000 - 236,000; Full time

Job summary

Dexcom is seeking a leader for its Post Market Surveillance Data team to drive analytics, machine learning, and data products that support post-market product performance. You will guide data science and engineering efforts across global teams, ensuring reliable data access and governance.

You will oversee model development, validation, and deployment, while championing best practices in reporting, analysis, and cross-functional collaboration with leadership.

Qualifications

• Experience or interest in automation, AI, and modern data science practices.
• Experience driving data-driven decisions with metrics and dashboards.
• Expertise in data governance, data integrity, and scalable data architectures.
• Strong communication with technical and executive stakeholders.

Responsibilities

• Lead and manage global data scientists and engineers to deliver reliable data access.
• Oversee design, development, validation, and deployment of ML models.
• Guide experimentation, hypothesis testing, and statistical analysis initiatives.
• Report product metrics and patient risk data to senior leadership for improvement.

Skills

GCP

BigQuery

DBT

SQL

Python

GitHub

Leadership

Communication

End-user focus

Education

Bachelor's degree in a technical discipline

Tools

BigQuery

DBT

GitHub

Job description

Dexcom is seeking a leader for its Post Market Surveillance Data team to drive analytics, machine learning, and data products that support post-market product performance. You will guide data science and engineering efforts across global teams, ensuring reliable data access and governance.

You will oversee model development, validation, and deployment, while championing best practices in reporting, analysis, and cross-functional collaboration with leadership.