AI Content Platforms Manager
Soni Resources
Our client is seeking an experienced Content & Knowledge Intelligence Manager to lead the strategy, implementation, and evolution of enterprise content management, knowledge management, and AI-powered knowledge solutions. This leadership role will oversee the modernization of enterprise content platforms while driving intelligent, scalable solutions that improve knowledge discovery, document processing, automation, and overall business operations.
The ideal candidate is a hands-on technology leader with a strong background in enterprise platforms, software engineering leadership, and AI-enabled digital transformation within a regulated environment. This position is responsible for technical strategy, platform modernization, team leadership, vendor management, and the successful execution of enterprise initiatives. Key Responsibilities Leadership & Team Management- 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.
- 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.
- 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
Vacancy posted 1 day ago
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