Job DescriptionWe 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.
We'll trust you to:- 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
You'll need to have:
- 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
What we offerWe strive to enhance the total health and well-being of our employees through comprehensive, competitive benefits. Our goal is to offer a highly individualized employee experience that enables you to balance your commitments to career, family, and community. When you work for Lazard, you are working for an organization that cares about your unique talents and passions, and will continue to invest in the development of your career.
We expect the base salary range for this role to be approximately $180,000-$200,000. Various factors contribute to determining the actual base compensation offered, including but not limited to the applicant's years of relevant experience, career tenure, qualifications, level of education attained, certifications or other professional licenses held, and relevant skills for the role. Base salary is one component of Lazard's compensation package, which also includes comprehensive benefits and may include incentive compensation.
Does this sound like you?Apply! We'll get in touch on the next steps.
