AI Governance Lead / Principal

We are building a new solution category within AI Governance to accelerate the adoption of enterprise

AI, and this role owns it - from first principles to first clients.

You will take a strategic insight, structure it into a solution, prototype it, and commercialize it with

clients. It sits at the intersection of AI model behavior, operational risk, and enterprise-grade workflows.

You think in frameworks. You have commercial instincts. You're a builder who can sell. You understand that being early to a problem is an advantage and you know how to use it.

What You'll Do:

Translate a business problem or hypothesis into a structured, client-ready solution

Own the intellectual core: methodology, scoring logic, domain-specific test libraries

Run discovery with quants, risk officers, AI engineers, and COOs

Introduce the offering into active client conversations alongside the sales team and convert audit engagements into follow-on remediation work

Be the external voice: conferences, practitioner forums, written point of view

Build the operating model, delivery methodology, and team as the capability scales

Prior experience in building Agentic AI systems and AI governance frameworks

Operational fluency in how AI models behave in production (failure modes, degradation patterns, oversight gaps)

Ability to translate a diagnostic finding into a remediation roadmap a builder can act on

Track record of taking ambiguous problems from whiteboard to client-ready artifact

Preferred:

12+ years of relevant experience in BFSI in a delivery or advisory capacity (or both)

Direct experience with agentic AI systems: how they are architected and where they break

Prior exposure to model risk management or AI governance in a regulated environment