Manager (Knowledge Management and AI)

The Manager, Knowledge Base and Data Operations is responsible for building and maintaining the platform’s knowledge base, ensuring seamless data ingestion from internal sources (such as Visa dashboards and enterprise data) and external feeds. This role manages taxonomy, quality control, pipelines to guarantee agents access accurate, up-to-date information. The Manager collaborates on data governance and bias mitigation, supporting the integrity and reliability of the platform’s data assets. Key Responsibilities: Key Responsibilities: 1. Knowledge Capture & Collaboration Partner with practice areas, consultants, and subject matter experts to identify and capture high-impact knowledge assets, including Gold Standard Documents. Ensure timely submission of proposals, pitch decks, case studies, templates, and other knowledge artifacts after client engagements. Support creation of new high-quality knowledge assets in collaboration with cross-functional teams to enable consistent reuse and AI-readiness. 2. Content Management, AI Readiness & Governance Review, curate, and maintain knowledge assets to ensure accuracy, relevance, and quality. Ensure all content is sanitized and compliant with internal governance and data privacy requirements before publication. Standardize content and templates for a consistent global look and feel. Prepare knowledge assets for AI use, ensuring proper formatting, metadata, and structure for machine readability. Maintain version control and reduce content duplication across regions. 3. Taxonomy, Metadata & Organization Apply and maintain taxonomy, metadata, and tagging standards to improve content organization, searchability, and AI compatibility. Tag and classify content to enable efficient retrieval and navigation on the knowledge platform and for AI/agentic systems. Support continuous improvement of taxonomy structures based on user needs and AI system requirements. 4. Platform Management & AI Integration Maintain and update content on the knowledge platform, ensuring data integrity, permissions, and organization. Enhance user experience by improving content structure, navigation, and accessibility. Collaborate with AI and analytics teams to ensure knowledge assets are usable for machine learning, agentic AI, and retrieval-augmented generation (RAG) processes. Support AI training initiatives by providing curated, high-quality datasets and Gold Standard Documents for model input. 5. User Engagement & Adoption Monitor platform usage and engagement metrics to identify opportunities for improvement. Communicate proactively with users to promote available content and encourage adoption. Gather user feedback and incorporate insights into ongoing improvements, including AI system requirements. 6. Continuous Improvement & Knowledge Enablement Collaborate with practice areas to maintain high-impact Gold Standard Documents that support consistent client delivery and AI-enabled insights. Identify opportunities to streamline processes, reduce duplication, and increase reuse of knowledge assets. Contribute to building a strong knowledge-sharing culture within VCA. Skills & Qualifications: Experience in Knowledge Management, Content Management, or related field. Experience with content platforms such as SharePoint, Confluence, or similar systems. Understanding of taxonomy, metadata, and content organization principles, including AI-readiness. Experience in content curation, indexing, archiving, and preparing assets for AI/agentic systems. Strong attention to detail with a focus on data quality and accuracy. Excellent organizational and project management skills. Strong communication and stakeholder management abilities. Ability to work in a fast-paced, cross-functional environment. Self-motivated with a proactive and collaborative mindset. Familiarity with AI concepts, agentic AI, or knowledge-enabled analytics (preferred). This is a hybrid position. Expectation of days in ... (truncated, view full listing at source)