Enterprise Architect - Content Management Cognizant

About Cognizant

Cognizant is a multinational information technology services and consulting firm headquartered in the United States. Its headquarters are located in Teaneck, New Jersey, in the United States. Cognizant is listed on the NASDAQ-100 under the symbol CTSH.

Job Description

Experienced Enterprise Content Management (ECM) Systems Content & Document Lifecycle Management: 13+ years of experience in Content Management, Document Management, Records Management, or Enterprise Content Management (ECM). Manage and maintain content and documents across various systems (e.g., SharePoint, Documentum, OpenText, internal repositories, Adobe Experience Manager (AEM)) ensuring accuracy, consistency, and compliance. Develop and enforce content classification schemas, metadata standards, and tagging conventions. Oversee document version control, access permissions, retention policies, and archival processes. Ensure all content and document management practices comply with internal policies, industry regulations, and legal requirements (e.g., data privacy, record-keeping). Contribute to the development and refinement of content governance frameworks. Conduct regular content audits to identify outdated, redundant, or inconsistent information. Engineer solutions to capture not only document content but also organizational and semantic contextensuring each document is tagged, enriched, and classified for optimal downstream use. Implement context-preserving transformations, such as OCR, language detection, classification, and context-based metadata extraction, leveraging Azure Cognitive Services and custom AI models. Define strategies for automated metadata extraction, entity recognition, taxonomy management, and document context embedding (including vector-based semantic search). Implement auto-tagging, versioning, and lineage tracking to ensure every documents journeyfrom ingestion to consumptionremains transparent and auditable. Champion the integration of advanced content embedding (e.g., knowledge graphs, vector databases) to enable intelligent, context-aware document retrieval and RAG (Retrieval Augmented Generation) solutions Educate and train users on best practices for content creation, organization, and AI-enabled tools. Knowledge of Headless CMS: Examples: Contentful, Strapi, Sanity, ButterCMS, Storyblok, Hygraph, Directus. Many traditional CMS like WordPress and Drupal now also offer "headless" options via APIs. AI Skills Demonstrated understanding and working knowledge of Artificial Intelligence (AI) and Machine Learning (ML) concepts, particularly as they apply to unstructured data (e.g., Natural Language Processing - NLP, intelligent document processing - IDP, text analytics, generative AI basics). This is not an AI development role, but a comprehension of capabilities and limitations is key. A genuine interest in how AI can transform information management. Team Leadership skills: Responsible for designing functional technology solutions, overseeing and reviewing development and implementation of solutions, and providing support to software development teams under supervision of Technical Lead and in close collaboration with Lead Engineers. Communication & Collaborative Skills Lead workshops and knowledge-sharing sessions to promote best practices in document enrichment and contextualization. Strong analytical and problem-solving abilities, with a keen eye for detail. Excellent communication and interpersonal skills, capable of explaining complex information clearly. Ability to work independently and collaboratively in a team-oriented environment. Proactive, organized, and capable of managing multiple priorities.,