AI GOVERNANCE AND ENABLEMENT Lead (delivery or advisory capacity (or both))

Our client's core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail and logistics, helping them build robust data analytics and AI capabilities., 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
• 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
• Guide implementation and client teams on governance-aligned AI architecture and deployment standards

• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Information Systems, or related field.
• 8+ years of experience in AI/ML, Data Governance, Risk & Compliance, Digital Transformation, or Technology Governance.
• Proven experience designing and implementing enterprise-wide AI governance frameworks, policies, standards, controls, and operating procedures to ensure scalable and compliant AI adoption.
• Hands-on experience establishing Responsible AI practices encompassing fairness, transparency, explainability, privacy, security, accountability, and bias detection/mitigation across AI solutions.
• Demonstrated capability in developing AI risk assessment methodologies, governance controls, and lifecycle-based review checkpoints to manage operational, ethical, legal, and compliance risks.
• Expertise in building and operationalizing governance workflows for GenAI, machine learning, intelligent automation, and AI-driven business transformation initiatives.
• Proven ability to develop reusable AI governance playbooks, implementation frameworks, policy templates, standards, and governance toolkits to accelerate enterprise AI maturity and adoption

Preferred

• 10+ years of relevant experience in BFSI in a delivery or advisory capacity (or both)
• Experience with enterprise AI platforms (e.g., Azure AI, AWS AI)
• Familiarity with governance frameworks such as EU AI ACT, NIST AI RMF, ISO/IEC AI standards, GDPR, SOC2, or internal risk frameworks.
• Exposure to MLOps, AI Ops, model monitoring, or enterprise architecture is a plus.
• Experience in consulting, shared services, or large-scale enterprise transformation programs preferred.