Content & Intelligence Manager

CONTENT & KNOWLEDGE INTELLIGENCE MANAGER

Full Time, Salary, Exempt

The Content & Knowledge Intelligence Manager leads a team responsible for enterprise content platforms, knowledge management, and AI-powered knowledge intelligence capabilities. This role owns document repositories, correspondence platforms, content workflows, and related integrations while driving the evolution toward AI-enabled automation, intelligent document processing, and domain-specific knowledge agents. It involves building and leading a multidisciplinary technical team, modernizing content and knowledge platforms, and delivering measurable business outcomes in a highly regulated insurance environment.

• Lead, coach, and develop a team of software engineers, platform engineers, integration specialists, knowledge engineers, and administrators.
• Establish clear expectations, accountability, and performance standards.
• Hire, onboard, develop, and retain technical talent.
• Manage team capacity, priorities, and performance, including addressing underperformance when necessary.
• Foster a culture of ownership, continuous improvement, collaboration, and innovation.

• Own delivery outcomes for content management, knowledge management, and AI-enabled solutions.
• Align team priorities and roadmap investments with business objectives to drive modernization of content platforms, workflows, and intelligent document processing capabilities.
• Evaluate architecture options, integration patterns, and build‑vs‑buy decisions.
• Manage vendor relationships, technology investments, budgets, and resource allocation.
• Communicate delivery progress, risks, and outcomes to senior leadership.
• Lead the development and operation of AI‑driven knowledge solutions, including knowledge agents, intelligent document processing, and domain intelligence capabilities.
• Establish and maintain domain knowledge models, knowledge graphs, and retrieval frameworks that support AI solutions.
• Partner with enterprise AI teams to deliver scalable, governed AI capabilities.
• Define evaluation frameworks and success metrics for AI‑enabled solutions.

• Ensure solutions operate within applicable regulatory, security, and compliance requirements, including HIPAA, SOC 2, and insurance regulatory frameworks.
• Maintain appropriate governance, auditability, security controls, and risk management practices across content and AI platforms.
• Balance delivery speed with regulatory and operational requirements.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, Computer Engineering, Information Technology, or a related technical field, or equivalent combination of education and relevant experience.
• 8+ years of experience in software engineering, technology delivery, or related technical disciplines.
• Demonstrated people management experience leading software engineers or other technical professionals, including success in hiring, coaching, developing, and managing technical talent.
• Experience leading multidisciplinary technical teams and driving organizational change.
• Demonstrated experience leading complex technology initiatives from strategy through delivery, including the ability to evaluate architecture, integration, platform, and build‑vs‑buy decisions.
• Experience delivering technology solutions within a regulated industry such as insurance, healthcare, or financial services.
• Working knowledge of compliance and governance frameworks including HIPAA, SOC 2, or comparable regulatory requirements.
• Ability to communicate and defend technical decisions with engineering teams, business stakeholders, and executives.
• Demonstrated experience delivering AI‑driven solutions in production environments and experience modernizing enterprise platforms and delivering scalable technology solutions.
• Demonstrated ability to influence stakeholders, manage expectations, and deliver measurable business results.
• Experience with one or more of the following:
  Large Language Models (LLMs);
  Retrieval‑Augmented Generation (RAG);
  Knowledge graphs and ontologies;
  Agent‑based systems;
  Domain…