Executive & Advisory AI Finance Roles

As AI reshapes financial services, demand for experienced leaders who can bridge both worlds has surged. Companies building AI for finance need seasoned executives who understand institutional risk frameworks, regulatory landscapes, and capital markets. Meanwhile, traditional financial institutions need senior advisors who can evaluate AI capabilities, guide responsible adoption, and shape enterprise AI strategy.

This creates a growing market for non-traditional engagements: fractional Chief AI Officers at regional banks, advisory board seats at AI-native fintechs, strategic consulting engagements for PE-backed portfolio companies evaluating AI investments, and interim leadership roles guiding AI transformations. These positions favor professionals with 15+ years of experience who combine deep domain expertise with credible AI fluency.

Whether you are a retired banking executive exploring board opportunities at AI startups, a former CTO considering fractional engagements, or a senior consultant advising financial institutions on AI strategy, this category captures the highest-seniority roles on the board.

Who This Is For

  • ✓C-suite executives from banking, insurance, or asset management exploring AI advisory roles
  • ✓Former CTOs or VPs of Engineering interested in fractional leadership at fintechs
  • ✓Senior management consultants specializing in financial services digital transformation
  • ✓Experienced AI/ML leaders seeking board seats or advisory positions in finance

Open Executive & Advisory Roles

4 roles
E

Senior Manager, Databricks Architect, AI&Data, FS

EY

Lead Databricks data architecture transformation for Financial Services at EY, architecting and optimizing large-scale data pipelines for risk, trading, and compliance domains.

Best for experienced data engineers and architects wanting to apply platform skills to banking and capital markets.

ML EngineeringBankingHybrid
London, UK
B
New This Week

AI Platform Engineer, Director

BlackRock

Lead AI platform architecture at BlackRock's Aladdin — setting technical vision for LLM-powered and agentic AI systems serving the world's largest asset manager.

Best for senior engineering leaders with AI platform experience seeking to shape AI infrastructure at a 0T+ asset manager.

ML EngineeringAsset ManagementHybrid
New York, NY$240K – $300K
I
New This Week

Principal Product Manager, AI Platform

Interface AI

Lead the core AI platform powering BankGPT for 100+ financial institutions — agent orchestration, model lifecycle, and compliance at scale.

Perfect for senior product leaders wanting to shape AI platform strategy at the intersection of generative AI and banking.

AI ProductBankingOn-site
Palo Alto, CA$250K – $280K
N
New This Week

Lead Software Engineer, AI Agents & Orchestration

Nubank

Architect LLM-powered agent systems and RAG pipelines that serve 130M+ banking customers at one of the world's largest digital banks.

For senior AI engineers wanting to build LLM-powered systems that serve 130 million banking customers at one of the world's most innovative digital banks.

NLP / LLM EngineeringBankingRemote
Palo Alto, CA (Remote US)

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Frequently Asked Questions

What types of executive AI finance roles are available?
The market includes full-time C-suite positions (Chief AI Officer, VP of AI Strategy), fractional leadership engagements (part-time CTO or Head of Data Science for smaller firms), advisory board seats at AI-native fintechs, and strategic consulting roles guiding AI adoption at financial institutions. Many senior professionals maintain a portfolio of 2-3 fractional or advisory engagements simultaneously.
Who is best suited for fractional AI advisory roles in finance?
These roles favor professionals with 15+ years of combined experience across AI/ML and financial services. Ideal candidates have led technology or data teams at major financial institutions, built AI products at fintechs, or advised financial services clients at top consulting firms. Credibility with both technical teams and C-suite stakeholders is essential — you need to speak the language of model risk management and P&L impact equally well.
How do compensation models work for advisory and fractional roles?
Fractional roles typically pay a monthly retainer (often $10K-$30K/month for 1-2 days per week of engagement). Advisory board seats may include equity compensation, a fixed annual retainer ($25K-$100K), or a combination. Full-time executive roles at AI companies or major banks command base salaries of $300K-$500K+ with significant bonus and equity upside. The total compensation for a portfolio of fractional engagements can rival or exceed a single full-time executive role.

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