AI Product Solutions Manager

The world’s leading organizations and global players choose Proskauer to represent them when they need it the most. With 800+ lawyers in key financial centers around the world, we are known for our pragmatic and business-savvy approach.

Proskauer is the place to turn when a matter is complex, innovative and game-changing. We work seamlessly across practices, industries and jurisdictions with asset managers, private equity and venture capital firms, Fortune 500 and FTSE companies, major sports leagues, entertainment industry legends and other industry-redefining companies.

Proskauer is seeking a strategic, product-minded AI Product Solutions Manager to support the end-to-end product lifecycle for selected AI-enabled solutions, from discovery and business case development through pilot, launch, adoption, governance, measurement, and continuous improvement across Business Services. This role will translate business needs into scalable AI and automation solutions that improve efficiency, quality, knowledge reuse, and service delivery across the firm’s global business support platform.

This role requires strong product management discipline, cross-functional leadership, legal or professional services process fluency, and the ability to move AI solutions from discovery through pilot, launch, governance, and measurement. The Manager will partner closely with Business Services chiefs, IT, Innovation, Data, Knowledge and Change Management, external vendors, and firm leadership to drive adoption, governance, and measurable business impact.

Responsibilities include, but are not limited to:

AI Portfolio Governance and Demand Intake

• Support the development of a comprehensive AI and automation strategy across Business Services functions while coordinating with Practice of Law stakeholders where initiatives intersect with client service, attorney workflows, knowledge management, or firmwide AI governance.
• Create and maintain a structured intake and evaluation framework for AI opportunities across departments and conduct structured assessments of business processes to identify high-value use cases for AI, automation, and workflow optimization.
• Prioritize initiatives based on business impact, feasibility, risk, and ROI.
• Build business cases and implementation roadmaps for AI-enabled transformation initiatives.
• Manage AI portfolio activities by tracking initiatives, coordinating stakeholder updates, and prioritizing work based on business value, risk, and strategic alignment.

Use Case Development & Implementation

• Partner with department leaders to design, pilot, test, validate, and scale AI-enabled tools, models, workflows, agents, automations, and integrations, including user acceptance testing and feedback.
• Translate operational challenges into actionable AI use cases.
• Collaborate with IT, Innovation, Data, and external vendors to implement technical solutions, leveraging existing firm-approved tools and supporting evaluation, selection, procurement input, implementation, and post-launch review of new tools where appropriate.
• Ensure responsible AI practices are embedded into all initiatives, including governance, compliance, data security, privacy, confidentiality, privileged information, risk assessment, human review, model limitations, and ethical use standards.
• Identify and escalate risks, blockers, policy considerations, and cross-functional dependencies to appropriate governance bodies and leadership.
• Define business requirements, product requirements, user stories, acceptance criteria, and prioritized backlogs for AI and automation initiatives.

Leadership & Governance

• Support the Business Services Technology Subcommittee by helping leaders across the Business Services platform:
• Promote cross-functional collaboration and share AI use cases, lessons learned, risks, and best practices.
• Serve as a strategic advisor to Business Services chiefs and firm leadership on AI-related matters.
• Provide post-launch product support, including user guidance, issue triage, enhancement intake, usage limitations, and escalation paths.
• Prepare executive-ready updates, dashboards, decision materials, and recommendations for Business Services leadership and governance committees.

Change Management, Education & Adoption

• In partnership with the Knowledge and Change Management team and the members of the Tech Sub-Committee in each department:
• Drive AI literacy and adoption across Busine…