CTIO - AI Engineer- Senior Manager at PwC
San Francisco, CA
$91,000–$321,500from the description
Aug 17, 2026
San Francisco, CA
Sep 25, 2026
What this job asks for AI summary
A Senior Manager-level AI/data science role within PwC's Internal Firm Services practice, focused on building advanced analytics solutions, statistical models, and machine learning pipelines that convert large datasets into business insights. The position carries significant team leadership responsibility — coaching and directing data science teams through complex client engagements — and suits an experienced practitioner who can bridge hands-on technical work with strategic client advisory.
Senior level · 7+ years · Bachelor's required · Full-time
Posted 5 times — it's one opening, so apply once.
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
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). 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 Aug 18, 2026. It is a model, not a headcount.
Why we read it this way (5)
The posting's 'What You Must Have' section gates only on a Bachelor's degree and 7+ years of experience — no specific technologies are hard-required.
All technical skills (machine learning, deep learning, predictive modeling, statistical modeling, data visualization, programming languages, ML libraries) appear exclusively under 'What Sets You Apart', which is framed as preferred/differentiating rather than required.
No specific programming languages or ML libraries are named anywhere in the posting despite being referenced generically ('programming languages and machine learning libraries') — no concrete tool names could be extracted.
The role title 'Senior Manager' and the people-management/coaching responsibilities make this a genuine hybrid between a hands-on Data Scientist (15-2051) and a Computer and Information Systems Manager (11-3021); 15-2051 was chosen because the primary day-to-day work described is technical data science delivery, but the management angle is substantial.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): predictive modeling.
Read the full posting
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