AI Control Platform Head

Lazard•New York, NY

7d•$180,000 - $200,000

About The Position

AI is the central pillar of Lazard’s 2030 Growth Strategy. Our ambition is to become the leading AI-enabled independent Financial Services firm. This is to say we are interested in AI beyond the scope of operational efficiency. We see AI and Contextual Alpha as two primary factors underpinning our future success and better outcomes for our clients. We are looking for a Senior Technical Lead to design and build a centralized platform that enables consistent, transparent, and well-controlled use of artificial intelligence across our firm.

Requirements

10+ years of experience in technology platform leadership, risk technology, or enterprise controls, including senior leadership roles
Demonstrated experience building platforms that operationalize governance, controls, or risk frameworks
Strong understanding of AI, machine learning, or advanced analytics operating models
Experience working within industries that are heavily regulated and with high standards (financial services strongly preferred)
Proven ability to operate at the intersection of technology, risk, and business leadership
Excellent communication skills and sound judgment in complex, high-impact situations
Experience designing or implementing model governance, AI control frameworks, or supervisory tooling
Familiarity with regulatory expectations related to model risk management, explainability, and operational controls
Hands-on exposure to data platforms, AI pipelines, MLOps, or platform engineering

Responsibilities

Define and own the vision, architecture, and roadmap for the firm’s AI control framework platform
Translate control objectives (e.g., governance, explainability, monitoring, approvals, auditability) into practical, reusable platform capabilities
Ensure the platform supports the full AI lifecycle, from use-case intake and model development through deployment, monitoring, and retirement
Partner closely with Model Risk Management, Legal, Compliance, Risk, Privacy, and Audit to ensure platform capabilities align with internal policies and external regulatory expectations. This includes GDPR, DORA, Sarbanes Oxley and other regulatory needs.
Ensure the platform enables consistent evidence generation for internal reviews and regulatory examinations
Drive adoption of the control framework platform across AI product, engineering, and data science teams
Establish metrics to assess control effectiveness, platform usage, and operational resilience
Provide senior management with transparent reporting on AI control maturity, coverage, and risk themes
Serve as a trusted advisor to senior stakeholders on how controls are operationalized through technology