AI & Data AVP, Financial Services-Insurance at Deloitte
McLean, VA
$171,600–$338,300from the description
Jul 14, 2026
McLean, VA
Jul 21, 2026
What this job asks for AI summary
A senior consulting role focused on delivering AI and data transformation engagements for financial services insurance clients. Day-to-day work spans translating business problems into data and AI solutions, managing engagement economics and risk, leading client relationships and business development, and guiding teams of practitioners. The position suits someone with deep enterprise data and AI/ML experience who is equally comfortable advising executives and overseeing technical delivery.
Principal level · 10+ years · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 6 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 $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 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The title 'Associate Vice President' carries no standard seniority band keyword, so the title states no level. However, the actual scope — P&L ownership, executive client relationships, business development, team leadership, and org-wide practice development — clearly places this at the Principal band.
The role is a consulting leadership position at Deloitte. The primary day-to-day work spans people management, client engagement leadership, and business development, making 11-3021 (Computer and Information Systems Managers) the best fit. 15-2051 (Data Scientists) is noted as a runner-up given the deep AI/ML and data platform subject-matter expertise required.
No specific work location is stated in the posting; the compensation range note mentions a 'geographic differential' but names no city. CBSA fields are left blank accordingly.
The 10+ years requirement covers enterprise data architecture, data strategy, analytics, AI/ML, and digital transformation collectively — used as the overall years minimum. The 8+ years requirement is specific to Financial Services–Insurance cloud AI/data projects and is captured on the cloud platforms skill.
AWS, Azure, and GCP appear only under the Preferred section ('Experience with cloud computing platforms, including…') and are therefore not hard gates.
A Bachelor's degree in Computer Science, Engineering, Data Science, or AI is explicitly required. An advanced degree is listed as preferred only.
50% travel is a stated hard requirement but is not a technology skill and cannot be represented in the skills list.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data strategy.
Read the full posting
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