Analytics & AI Platform Manager

About the role

SHP Legal Services LLC (“SHP”) is an operating platform that helps law firms modernize service delivery through process excellence, technology enablement, and data-driven management. SHP supports Broadfield Law’s unified platform with technology and AI enablement, managed IT and cybersecurity, cloud and data governance, finance and payroll, marketing operations, HR and resource planning, client intake, records management, and talent support.

Responsibilities

• Define and lead SHP and Broadfield’s analytics & insights delivery, developing Matter lifecycle dashboards and enabling self-service analytics.
• Define and lead SHP and Broadfield’s AI strategy, aligning technology initiatives with strategic priorities and operational goals.
• Identify opportunities to apply AI and automation across the Broadfield platform to streamline workflows, enhance decision-making, and improve client service delivery.
• Evaluate emerging technologies and develop innovation roadmaps that support long-term growth and transformation.
• Work with firm leadership to establish and operationalize governance frameworks for responsible AI use, including data privacy, ethical standards, and performance monitoring.
• Align analytics and AI initiatives with business needs and integrated effectively into existing systems and processes.
• Provide professional development and thought leadership to internal teams and in support of Broadfield, promoting awareness and adoption of AI capabilities.
• Manage resource allocation and project prioritization to support high-impact analytics and AI and innovation initiatives.
• Execute against defined strategy to achieve SHP and Broadfield analytics and reporting capabilities.
• Oversee the development, deployment, and optimization of AI-enabled tools and platforms across SHP and Broadfield’s operations.
• Manage vendor relationships and technology partnerships to result in cost-effective and scalable AI solutions.
• Monitor AI system performance across the technology ecosystem, resolving technical issues and ensuring alignment with business requirements.
• Drive compliance with SHP and Broadfield’s data governance, data privacy, and cybersecurity standards as well as regulatory requirements for Broadfield firms.
• Stay informed on industry trends, research, press, and regulatory developments—specifically in legal technology and AI, including ethics.
• Lead initiatives to modernize legal operations through AI and emerging technologies, driving measurable improvements in efficiency and service delivery.
• Gather feedback from stakeholders and end-users to refine AI solutions to deliver meaningful value.
• Champion a culture of innovation, encouraging experimentation, iterative development, and cross-functional collaboration.

Requirements

• College degree strongly preferred, ideally in technology related field.
• Relevant technical certifications are strongly preferred.
• Extensive experience delivering data analytics, business intelligence, and AI-enabled solutions, preferably within legal, professional services, or other regulated industries.
• Strong hands-on expertise in data analysis, data modeling, and visualization, with the ability to translate complex data into actionable business insights.
• Advanced proficiency in analytics and reporting tools such as Power BI, and experience building scalable dashboards, KPIs, and operational reporting frameworks.
• Experience working with or alongside data scientists, or functioning as a highly skilled data analyst, with the ability to apply statistical thinking, data exploration, and insight generation to real business problems.
• PRACTICAL FAMILIARITY WITH ENTERPRISE AI TOOLS (E.G., COPILOTS, LLMBASED PLATFORMS) AND ABILITY TO OPERATIONALIZE AI CAPABILITIES, RATHER THAN BUILD MODELS FROM SCRATCH.
• Strong understanding of data architecture, data governance, data quality, and privacy considerations, particularly in regulated environments.
• Ability to integrate analytics and AI solutions into enterprise systems and business workflows, driving measurable improvements in decision-making and efficiency.
• Proven ability to lead cross-functional initiatives, working across business, legal, and technology teams to deliver data-driven outcomes.
• Experience evaluating and managing vendors for analytics, AI platforms, and data solutions, ensuring scalability and cost control.
• Strong communication and stakeholder engagement skills, with the ability to translate data insights into clear business recommendations.
• Demonstrated commitment to data-driven culture, continuous improvement, and scalable analytics capabilities across the organization.