AI Content Platforms Manager

Key Responsibilities

• Lead, mentor, and develop cross-functional technical teams, including software engineers, platform engineers, integration specialists, knowledge engineers, and system administrators.
• Foster a collaborative, accountable, and high-performing engineering culture focused on continuous improvement.
• Recruit, coach, and retain technical talent while managing performance and career development.
• Prioritize work, allocate resources, and ensure successful delivery across multiple concurrent initiatives.
• Define and execute the roadmap for enterprise content management (ECM) and knowledge management platforms.
• Lead platform modernization efforts that improve document management, content workflows, and intelligent automation.
• Evaluate solution architecture, integration strategies, and build-versus-buy decisions aligned with long-term business objectives.
• Manage technology vendors, budgets, resource planning, and platform investments.
• Communicate project status, risks, and strategic recommendations to executive leadership and key stakeholders.
• Design and implement AI-powered knowledge solutions, including intelligent document processing, enterprise search, and knowledge agents.
• Develop and maintain knowledge models, metadata strategies, knowledge graphs, ontologies, and retrieval frameworks that support scalable AI capabilities.
• Partner with enterprise architecture and AI teams to deliver secure, governed, and production-ready AI solutions.
• Define KPIs and success metrics to measure AI adoption, effectiveness, and business value.
• Ensure enterprise platforms comply with security, regulatory, and governance requirements, including HIPAA, SOC 2, and other applicable industry standards.
• Establish governance, auditability, and risk management practices across content, knowledge, and AI platforms.
• Balance innovation with operational excellence, security, and compliance requirements.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Information Technology, Software Engineering, Computer Engineering, or a related technical discipline (or equivalent professional experience).
• 8+ years of experience in software engineering, platform engineering, technology delivery, or technical leadership.
• Demonstrated success leading software engineering or multidisciplinary technical teams, including hiring, mentoring, coaching, and performance management.
• Experience delivering large-scale enterprise technology initiatives from strategy through implementation.
• Strong understanding of enterprise architecture, systems integration, and platform modernization.
• Experience working within highly regulated industries such as healthcare, insurance, financial services, or similar environments.
• Knowledge of governance, security, and compliance frameworks, including HIPAA, SOC 2, and enterprise security controls.
• Excellent communication and stakeholder management skills with the ability to influence technical teams, business partners, and executive leadership.
• Experience delivering AI-enabled solutions in production environments and leading enterprise technology transformation initiatives.
• Proven ability to manage competing priorities while delivering measurable business outcomes.

Preferred Technical Experience

• Experience with one or more of the following technologies and concepts:
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• AI Agents / Agentic AI
• Knowledge Graphs and Ontologies
• Enterprise Knowledge Management
• Intelligent Document Processing (IDP)
• Domain Modeling
• Enterprise Content Management (ECM)
• Cloud platforms (Azure and/or AWS)
• API integrations and enterprise application architecture