Director of AI at HP
Spring, TX
$174,050–$305,450from the description
Jul 27, 2026
Spring, TX
Jul 29, 2026
What this job asks for AI summary
A Director-level people-management role leading HP's Enterprise AI & Machine Learning data science teams. The position owns the full lifecycle of AI/ML model development — from scoping and design through deployment — while building partnerships with product, engineering, and business stakeholders across the company. Suited to an experienced technical leader who can both set AI strategy at an executive level and remain hands-on enough to guide data science practitioners.
Principal level · 10+ years · Master's required · Full-time
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.
What the occupation pays Median $178,991 (middle half $141,096–$225,584). This posting is about at that midpoint.
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 specific work location is stated in the posting beyond 'United States of America'; the CBSA and state fields have been left blank accordingly.
The degree requirement is MS and/or PhD in a relevant field — an MS is the stated minimum, so the degree gate is set to Masters.
The 10+ years figure covers modeling and analytics broadly (the role-level experience requirement); the 5+ years of leadership experience is a separate gate but is not tied to a named technology, so it is captured in the overall years minimum at the higher 10-year figure.
Leadership experience (5+ years) is a hard gate stated in the requirements but names no specific technology, so it is reflected in the overall years minimum rather than as a skill entry.
Digital product design and process transformation are explicitly called 'a plus' in the posting, so they are marked as preferred.
The alt SOC (15-2051 Data Scientists) reflects that the role requires genuine hands-on AI/ML practitioner depth alongside its management duties; the primary SOC (11-3021) was chosen because direct team leadership, hiring, and org-wide strategy are the dominant framing.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): digital product design.
Read the full posting
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