CVS Health

Lead Director, Data Science - Clinical AI

NJ, US$144,200-$288,400Posted 30 days ago

Job Description

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary

CVS Health is seeking an experienced technical leader in AI and machine learning to join CVS Health's enterprise clinical intelligence platform as a Lead Director, Clinical AI. AI is unlocking new possibilities in healthcare at unprecedented pace, and with that pace comes the responsibility to build capabilities that are clinically rigorous, ethically grounded, and worthy of the trust patients and providers place in them. This role leads the AI strategy and talent behind a growing portfolio focused on maximizing the utility of clinical data to generate evidence-backed insights that power use cases across multiple CVS Health businesses.

The successful candidate will set the direction for how the portfolio develops, evaluates, and operates its clinical AI, spanning model development, evaluation rigor, governance and responsible AI, cost efficiency, latency, reliability, and scalability, in close partnership with product and engineering. This leader will partner with product and engineering peers to ensure the portfolio's capabilities fit coherently within the broader clinical intelligence platform and that all use of AI aligns with CVS Health and regulatory policies, procedures, and standards. They will directly manage and develop a team of data scientists staffed across the portfolio's squads, growing the bench of senior technical leaders who will scale with the work.

This role sits at the center of building and running production clinical AI at enterprise scale. It is not a research role, and

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