Legal Program Manager Jobs in Boston, MA (NOW HIRING)

Job Summary:
Suffolk Construction is a national enterprise that builds, innovates, and invests across the project lifecycle. They are seeking a Program Manager to support the rollout and management of AI assistants, focusing on employee adoption and effective usage in their daily work.
Responsibilities:
• Support day-to-day management of general-purpose AI assistants, including license allocation, user access, feature availability, configuration, and vendor coordination.
• Partner with IT, security, legal, data, and AI engineering teams to evaluate and enable AI assistant features in a safe, scalable, and compliant way.
• Monitor usage, adoption, license utilization, token consumption, spend, and other operational metrics.
• Help develop processes to improve visibility into AI assistant usage, adoption patterns, and business value.
• Stay current on updates, features, vendor roadmaps, and emerging capabilities across frontier AI assistants.
• Design and coordinate enablement programs for different user groups, from foundational users to advanced power users.
• Run office hours, workshops, demos, and role-specific training sessions.
• Lead and support an AI Champions group to scale awareness, adoption, and responsible usage across teams.
• Interview users and stakeholders to understand needs, adoption barriers, workflow opportunities, and support requirements.
• Partner with Learning & Development, Operational Excellence, change management, communications, IT, data, and AI engineering teams to support adoption.
• Coordinate pilots for new AI assistant features or tools, gather feedback, document lessons learned, and recommend next steps.
• Define and track adoption metrics, usage trends, engagement levels, and indicators of business impact.
Qualifications:
Required:
• 5–8 years of experience in technology, program management, digital enablement, enterprise applications, product operations, or a related role; or equivalent management experience in construction and a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, Data Science, Finance, or a related discipline.
• Experience with ChatGPT Enterprise, Claude Enterprise, Microsoft Copilot, or similar general-purpose AI assistants.
• Experience driving adoption, training, enablement, or change management for technology tools or business applications.
• Strong AI user with demonstrated familiarity using general-purpose AI assistants, including the ability to apply them effectively to day-to-day work and evaluate new capabilities.
• Experience supporting enterprise technology tools, including user access, licensing, feature configuration, reporting, and vendor coordination.
• Strong program management skills, including planning, stakeholder management, execution, documentation, and follow-through.
• Ability to work cross-functionally with IT, security, data, engineering, learning and development, operational excellence, communications, and business teams.
• Strong analytical skills, with the ability to interpret usage data, adoption metrics, license utilization, spend, and user feedback.
• Excellent communication and facilitation skills, including the ability to lead office hours, trainings, workshops, demos, and stakeholder discussions.
• High attention to detail, curiosity about emerging AI capabilities, and comfort.
Preferred:
• Familiarity with responsible AI usage, data privacy, security reviews, enterprise technology controls, and safe enablement practices.
• Familiarity with automation, low-code/no-code tools, or agentic AI workflows.
• Experience creating adoption dashboards or reporting on usage, licenses, spend, training participation, or business impact.
• Experience in a large enterprise environment with multiple stakeholder groups and governance requirements.
Company:
Suffolk Construction is a construction contracting company. Founded in 1982, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.