AI & Data Decision Science Manager - Utilities at Accenture
Austin, TX
$80,400–$293,800from the description
Jul 14, 2026
Austin, TX
Jul 21, 2026
What this job asks for AI summary
A consulting manager role focused on data science and AI, with a specific requirement for experience serving utilities clients. Day-to-day work spans leading onshore and offshore teams, building and customizing machine learning and analytics solutions, identifying AI use cases, and participating in sales and business development. Suits someone with at least six years in data science or advanced analytics who can operate across both technical and business domains.
Senior level · 6+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
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
Roughly 3,100 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (data scientists). range 1,300–4,650
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $103,548–$176,968). 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 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
This role is a genuine hybrid between a senior data science practitioner (15-2051) and a people/delivery manager (11-3021). The title is 'Manager' and the JD emphasizes team leadership, sales origination, and client relationship management alongside hands-on data science delivery. 15-2051 was chosen as primary because the core technical work — building ML/AI models, decision frameworks, and analytics solutions — is described as the day-to-day output; 11-3021 is the close runner-up given the explicit team management and P&L/sales responsibilities.
The role requires up to 80% travel; it is not remote despite no fixed single office location. Compensation ranges are listed across 13 states/locations; the min ($80,400) and max ($293,800) across all listed ranges are reported.
A Bachelor's degree is listed as required but the JD explicitly accepts 'equivalent (minimum 12 years' work experience)' or an Associate's degree with 6 years' experience, so the degree requirement is set to None.
All technical skills (Python/R/SQL, TensorFlow/PyTorch/scikit-learn, cloud platforms, Hadoop/Spark, Tableau/Power BI) appear exclusively under the 'Bonus Points if' section and are therefore preferred, not required.
The 1-year utilities industry experience requirement is a domain/industry gate, not a named technology or tool, so it is not captured as a skill; hiring managers should note this as a hard requirement stated in the 'Here's What You Need' section.
A Master's degree in Data Science, Computer Science, Statistics, or a related field is listed under 'Bonus Points if' and is therefore preferred, not required.
Read the full posting
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