Tech Consulting - FinTech - AI Finance - Senior at EY
Portland, OR
$102,500–$187,900from the description
Aug 2, 2026
Portland, OR
Sep 24, 2026
What this job asks for AI summary
This consulting role at EY sits at the intersection of finance applications and data architecture, focused on building out an AI-driven finance data blueprint for clients. Day-to-day work involves gathering business requirements from finance stakeholders, designing data models and governance frameworks, and applying Machine Learning and Generative AI techniques to finance use cases such as planning, reporting, and close/consolidation. The role suits a business analyst or data professional with a finance-data background who is comfortable bridging technical and business teams in a client-facing consulting environment.
Mid level · 2+ years · Remote · Bachelor's required · Full-time
Advertised as Senior, but the requirements read as Mid.
“or” means any one of them counts — you don't need all of them.
Posted 9 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
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 $108,178 (middle half $84,682–$137,059). 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 4, 2026. It is a model, not a headcount.
Why we read it this way (6)
The posting is titled 'AI Finance Senior' and frames this as a Senior-level role, but the hard experience requirements are only 2-3 years total and 2 years in data management — requirements that align with a Mid-level band rather than Senior.
The role is listed as 'Anywhere in Country' but is described as a hybrid client-serving position requiring 40-60% in-person time; it is not fully remote.
A higher salary band ($122,900–$213,400/year) is stated specifically for New York City Metro Area, Washington State, and California (excluding Sacramento); the base range of $102,500–$187,900 applies to all other US locations.
SOC classification is Medium confidence: the role blends business/systems analysis (gathering requirements, designing data architecture) with data science elements (ML, Gen AI). 15-1211 was chosen because the primary day-to-day work is bridging business requirements and technical data architecture for finance applications, but 15-2051 (Data Scientists) is a plausible alternative given the ML/Gen AI emphasis.
Azure Data Lake and Azure Synapse Analytics are listed together in the requirements as examples of 'Azure data services'; both are captured as separate named tools since they are distinct products.
Ignored 4 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data governance, master data management, data transformation, financial modeling.
Read the full posting
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