Senior Risk Manager

McDermott Will & Schulte LLP is embedding Artificial Intelligence across core workflows, vendor platforms, and client-facing services. As adoption accelerates—including agentic AI systems that can independently access and act on data—the firm needs dedicated expertise to ensure leadership has clear visibility into how these technologies function and what implications they carry. WHY MWS Shape the Firm's AI strategy at the intersection of technology and risk Dual reporting to CIO and General Counsel—uniquely positioned for impact Security and innovation treated as mutually reinforcing priorities Define a new function at the frontier of enterprise AI governance What You'll Do Serve as subject matter expert on AI technologies, including large language models and emerging AI systems Advise leadership on technical implications of AI initiatives and translate AI architecture into business and legal risk considerations Evaluate proposed AI use cases and tools across the Firm Identify and assess risks related to data privacy, intellectual property, bias and fairness, hallucination and reliability, and security vulnerabilities Recommend controls, guardrails, and oversight mechanisms—with particular attention to agentic AI systems that may access data subject to regulatory or ethical requirements Assess and advise on AI-driven threats, including AI-enhanced social engineering and automated attack techniques Identify opportunities to leverage AI to improve threat detection, incident response, and defensive operations Technologies LLMs Generative AI Agentic Systems NIST AI RMF ISO 42001 EU AI Act AI Security Privacy Frameworks Threat Detection Security Operations What You Bring 10+ years of experience in technology, security, risk, or related fields Deep understanding of AI/ML systems, particularly LLMs and generative AI Ability to explain complex technical systems to non-technical executives Strong judgment and risk assessment capability Experience working cross-functionally with IT and Legal Familiarity with AI security, privacy, and regulatory considerations Preferred Background in ML engineering, data science, cybersecurity, or AI architecture Familiarity with AI-driven cyber threats and the application of AI/ML to security operations Experience with AI governance frameworks and regulatory compliance Benefits and Compensation Successful candidates will receive a competitive total rewards package with the opportunity to earn performance-based bonuses. Target Hiring Range: $193,000 - $301,000. Base pay is based on market location and may vary depending on job-related knowledge, skills, experience, and geographic location. Base pay is only one part of the Total Rewards that MWS provides to compensate and recognize staff professionals for their work. Full-time positions are eligible for a discretionary bonus and a comprehensive benefits package. EEO Statement Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Physical Demands and Work Environment The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Physical Demands While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear. Employee must occasionally lift up to twenty (20) pounds. Work Environment Typical indoor office environment. Disclaimer The above statements are intended to describe the general nature and level of the work being performed by people within this classification. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employees assigned to this job. #J-18808-Ljbffr