Executive Director - Applied Artificial Intelligence Machine Learning at JPMorgan Chase
Plano, TX
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Jul 10, 2026
Plano, TX
Jul 21, 2026
What this job asks for AI summary
A senior individual contributor and team coach role focused on building and deploying machine learning models across areas such as natural language processing, speech analytics, time-series forecasting, and recommendation systems. The work involves close collaboration with business, product, legal, and technology partners to move models into production at scale. Suits a deeply experienced ML practitioner with a strong research background and hands-on expertise in modern deep learning frameworks.
Senior level · 5+ years · National · Full-time
Advertised as Principal, but the requirements read as Senior.
“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 $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The title 'Applied AI/ML Executive Director' is a JPMorgan Chase internal seniority band (equivalent to a senior individual contributor), not a people-management executive role. The JD describes hands-on ML modeling work with some coaching responsibilities, not org-wide budget/headcount ownership — classified as Senior rather than Staff or Principal on the standard career ladder.
Degree requirement is complex: a PhD alone qualifies, OR an MS with 7+ years, OR (implied) a bachelor's-equivalent with 5+ years of industry experience. Because equivalent experience is explicitly accepted in lieu of a higher degree, the degree requirement is set to None.
Total experience minimum is set to 5 years, reflecting the lowest stated threshold (PhD + 5 years industry experience). MS holders need 7 years; the posting does not state a floor for non-PhD/non-MS candidates explicitly.
NLP and speech recognition are listed as alternatives for the same core requirement ('Solid background in NLP or speech recognition'); either satisfies the gate.
TensorFlow and PyTorch are listed as interchangeable examples of ML/DL toolkits; NumPy, Scikit-Learn, and Pandas are also explicitly named in the same required list and are emitted as separate skills.
Reinforcement Learning and Meta Learning appear under Preferred qualifications and are marked accordingly.
Cloud-native deployment, A/B experimentation, CI/CD (continuous integration), and unit testing all appear under Preferred qualifications.
No compensation figures are provided; JPMorgan notes pay is role-, experience-, skill-, and location-dependent.
Read the full posting
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