Data Science VP Role

New

Skills

Databricks Data Science dbt Deep Learning HIPAA Compliance Large Language Models (LLMs) Machine Learning Market Research MLOps Snowflake

The VP of Data Science (Core Insurance) is responsible for defining and executing the data science strategy for core insurance functions. This leadership role will spearhead AI/ML initiatives in the healthcare and insurance sectors, ensuring the successful development and deployment of models into production.

Key Responsibilities
  • Lead AI/ML initiatives, including deep learning and large language models (LLMs).
  • Oversee model development and ensure successful deployment to production environments.
  • Translate data science results into actionable business insights for cross-functional teams.
  • Collaborate with engineering on data infrastructure and MLOps.
  • Build and manage a high-performing data science and machine learning team.
  • Ensure compliance with relevant laws and regulations, including HIPAA and GDPR.
Required Skills & Qualifications
  • Bachelor’s degree in a quantitative or technical field (e.g., Data Science, Computer Science, Economics, Mathematics).
  • 10–15+ years of experience in data/analytics, with 5–7+ years in senior leadership roles (Director/VP).
  • Proven track record in building centralized analytics or data science functions.
  • 5+ years of experience in the healthcare industry with knowledge of HIPAA/GDPR.
  • Technical ownership of data stack technologies such as Snowflake, dbt, and Databricks.
  • Experience overseeing user experience research (UXR) and market research functions.
  • Experience with AI/ML deployment in production environments.

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Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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