Director of Enterprise AI & Automation Solutions

Crowell & Moring•Washington, DC

2h•$215,000 - $340,000

About The Position

Crowell & Moring LLP seeks a strategic, execution-focused Director of Enterprise AI & Automation Solutions to advance AI capabilities across the business of law. The Director defines and executes enterprise AI strategy, identifies valuable business use cases, establishes governance and responsible AI practices, and partners across functions to scale solutions that produce measurable business impact. The role combines expertise in AI, machine learning, data platforms, and enterprise architecture with business acumen, stakeholder leadership, and program delivery experience. The Director manages a team and works with business functional leaders, professional staff, attorneys, paralegals, the Innovation department, and firm leadership to integrate AI and automation technologies and improve operational efficiency. The role also oversees the Enterprise AI and Productivity Solutions team and its vendor relationships, develops AI and productivity budgets and forecasts, and advises executive leadership on opportunities, risks, investments, and priorities. The position calls for an experienced legal technology professional with broad AI and automation expertise, law firm project management experience, and a record of leading strategic technology initiatives. The position requires a bachelor’s degree or an equivalent combination of education, training, and experience; at least ten years of progressively responsible legal technology experience in technology adoption, including management experience; and experience working at an AmLaw 100 law firm. The posting lists annual salary ranges of $215,000–$310,000 for the DC office and $235,000–$340,000 for the New York office. Additional compensation may include a discretionary bonus.

Requirements

Expert-level knowledge of the legal innovation and legal technology ecosystem, including the benefits and risks of generative AI.
Strategy experience with modern large language models (LLMs), agentic systems, and legal platforms.
Strong knowledge of relevant industry platforms, solutions, tools, and legal operations best practices, including familiarity with AI and its potential.
Demonstrated ability to apply technology solutions to business problems.
Deep understanding of law firm compliance obligations, including ethical obligations relating to AI implementation.
Ability to provide quality service to internal and external clients, using tact, discretion, and persuasion to gain cooperation.
Ability to communicate clearly and effectively, orally and in writing, with technical staff, vendors, attorneys, secretaries, clients, and other non-technical parties.
Ability to analyze and interpret information from varied sources and apply critical and creative thinking to complex problems.
Ability to motivate others and build effective, cooperative teams that encourage teamwork and interdependent thinking.
At least five years leading enterprise-scale AI, machine learning, advanced analytics, or automation initiatives.
Demonstrated experience developing and executing AI strategy in a complex enterprise environment.
Strong understanding of AI and machine learning concepts, generative AI, data platforms, cloud technologies, APIs, and enterprise systems integration.
Experience building governance frameworks for AI, data, or analytics programs.
Proven ability to lead cross-functional teams and influence senior stakeholders.
Experience managing budgets, vendors, roadmaps, and multi-workstream programs.
Bachelor’s degree or an equivalent combination of education, training, and experience.
At least ten years of progressively responsible legal technology experience specific to technology adoption, including demonstrated management experience.
Experience working in an AmLaw 100 law firm; knowledge of the inner workings of a law firm.

Responsibilities

Define and lead the enterprise AI vision, roadmap, and operating model in alignment with business strategy, including design, piloting, and implementation planning.
Identify, prioritize, and evaluate AI and automation use cases across functions such as operations, finance, HR, and marketing.
Drive adoption of AI-enabled workflows and ensure solutions deliver measurable outcomes.
Build a multi-year AI transformation plan that balances innovation, risk management, and value realization.
Stay current on AI, generative AI, automation, and emerging technologies to inform enterprise adoption decisions.
Oversee evaluation and management of vendors, AI platforms, tools, and strategic partnerships.
Partner with Legal, Compliance, Risk, Information Governance, and Information Security to establish enterprise AI governance, including model lifecycle management, oversight, controls, ethical standards, and policies.
Develop responsible AI principles and guardrails for fairness, transparency, explainability, and human oversight.
Advise executive leadership on AI and workplace efficiency opportunities, risks, investments, and strategic priorities.
Collaborate with business leaders to define success metrics, business cases, and implementation plans for AI and workplace efficiency initiatives.
Lead and mentor a high-performing team of AI, data, and technology professionals.
Build organizational AI fluency through training, communication, and change management initiatives.
Define KPIs and success metrics for AI programs, including efficiency gains, cost savings, revenue impact, risk reduction, and user adoption.
Monitor deployed AI solutions and continuously optimize their business value and model effectiveness.
Create executive-level reporting on enterprise AI and workplace efficiency portfolio performance, roadmap progress, and ROI.
Develop the budget and financial forecast for the AI and productivity toolset.
Build relationships with Professional Staff Leadership members to align strategic objectives and efficiency initiatives for their groups.
Lead the Enterprise AI and Productivity Solutions team in delivering innovative solutions to real-world challenges using human-centered design methods, including ideation workshops, user interviews, journey mapping, process mapping, and rapid prototyping.
Oversee third-party vendor relationships for Enterprise AI & Productivity Solutions with relevant subject-matter experts and the Harbor procurement group, including feature requests, usage metrics, and change management strategies.
Define build-versus-buy-versus-partner approaches for AI infrastructure and frameworks.
Manage strategic alliances with hyperscalers and frontier-model providers.
Lead AI and technology best-practice initiatives for attorneys, paralegals, and professional staff; develop and champion design deliverables, service blueprints, process flows, wireframes, business model canvases, and best-practice and implementation playbooks.
Work with Business Functional Heads and their teams, Practice Support, Practice Management, and administrative departments to build AI competency across business services teams.
Evaluate and report on ROI, roadblocks, and opportunities for AI and productivity solutions across the firm, combining qualitative and quantitative data to shape solutions and communicate findings.
Partner with Information Technology, Practice Technology, and General Counsel to support a consistent approach to compliance with legal, ethical, and firm policy requirements for the use of AI and other innovative technologies.
Bridge silos in the firm’s management of innovation solutions and other technologies across administrative and legal departments.