Remote Director of AI at Insight Global
Nashville, TN
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Jul 28, 2026
Nashville, TN
Jul 29, 2026
What this job asks for AI summary
A player-coach leadership role heading a team of data scientists and ML engineers building production machine learning, predictive analytics, and decision intelligence systems for a healthcare-focused organization. The leader owns the full model lifecycle — from architecture and build-vs-buy decisions to deployment, monitoring, and retraining — while partnering across clinical, product, and business functions. The ideal candidate combines hands-on ML depth with a track record of growing high-performing technical teams.
Senior level · Master's required
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $178,991 (middle half $141,096–$225,584).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (7)
No work location is specified in the posting; CBSA and state fields are left blank. The role mentions up to 10% travel for onsite meetings, suggesting it is not fully remote.
The role is explicitly described as a people-management position (leading a team, hiring, leveling, developing staff), which drove the 11-3021 classification. However, the 'player-coach' framing and deep hands-on ML requirements make 15-2051 (Data Scientists) a genuine runner-up.
A Master's or PhD in a quantitative field is stated as a hard requirement. A PhD is described as 'a strong plus,' so Master's is the minimum threshold captured.
S3, PostgreSQL, and DynamoDB appear as part of the AWS platform stack description rather than in a standalone requirements block; listed as preferred accordingly.
LLMs and causal inference appear in the skills narrative as areas of judgment/familiarity rather than hard gates; listed as preferred.
No compensation range is provided in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): uplift modeling.
Read the full posting
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