AI Systems Manager

The AI Systems Manager (ASM) will help lead the firm’s enterprise artificial intelligence platform function, with direct responsibility for the administration, adoption and governance of the firm’s AI systems at enterprise scale. The ASM oversees the full range of firm-wide AI tools, including chat-based, agentic and developer-facing products, and is accountable for ensuring these platforms remain secure, well-governed, cost-effective and broadly adopted throughout the enterprise.

Responsibilities

Administer and maintain the firm’s enterprise AI platforms; Manage user provisioning, licensing, roles and permissions across all AI platform surfaces; Own the platform roadmap for enterprise AI tools, coordinating upgrades, feature rollouts, integrations and configuration changes; Serve as IT point of contact and account owner for AI platform vendors; Triage technical and support issues related to AI platform access, performance and functionality; Enable and support onboarding, training and adoption programs; Create and maintain documentation, playbooks and best-practice guidance; Partner with practice groups, administrative departments and firm leadership to identify high-value AI use cases and drive adoption; Establish feedback channels and user-support processes; Own and manage AI platform budget, tracking licensing costs and usage-based spend; Develop and maintain usage analytics and reporting dashboards; Analyze usage trends to identify optimization opportunities; Enforce AI usage policies, data-handling guidelines and access controls with IT Security and Risk teams; Manage, mentor and support the AI Systems team; Develop and refine the intake process for new AI use cases, requests and pilots; Manage AI-related invoices, bill payments and communications

Requirements

Ability to communicate clearly and effectively with people from both technical and non-technical backgrounds; Excellent writing and oral presentation skills; Proven ability to lead a team through all facets of platform management, from strategy and planning to operational execution and measurable business outcomes; Extensive experience administering enterprise SaaS or cloud-based platforms at scale, including user provisioning, licensing, configuration and lifecycle management; Working knowledge of leading generative AI platforms and large language model tools, and their practical application in a professional-services environment; Strong analytical skills, with experience building usage dashboards, spend reports and adoption metrics to communicate platform performance to technical and non-technical stakeholders alike; Experience developing and managing technology budgets, vendor contracts and service-level agreements; Experience building or supporting intake and triage processes for technology requests, projects or use cases; Ability to work effectively with cross-functional IT and other administrative department teams, including Innovation, IT, Marketing, KM, HR and Finance to enforce policy and drive compliance; Ability to deal responsibly with sensitive and confidential information in a discreet and secure manner; Ability to collaborate with team members and interact with others throughout the Firm; Familiarity with data privacy, information security and responsible-AI governance principles, including model risk, data residency and access controls; 7+ years of experience managing enterprise technology platforms, SaaS applications, or AI/ML systems, including 2+ years directly managing a team; Proven experience leading platform adoption, governance and support functions for a large, enterprise-scale organization; BS and/or graduate degree in Computer Science, Information Systems, Business Administration or equivalent discipline, or equivalent practical experience; Experience managing technology budgets, vendor relationships and usage analytics/reporting; Excellent verbal and written communication and interpersonal skills

Nice to have

Law firm or professional-services experience

Benefits

Discretionary year-end merit bonus based on performance