About the Role:
The Knowledge Designer is responsible for creating, maintaining, and continuously improving the business content and knowledge assets that power AI-enabled sourcing and procurement capabilities.
Working across capabilities such as Compare Tool, Smart Intake, SourceIQ, and future AI solutions, the role ensures business content, guidance, and supporting knowledge assets remain accurate, relevant, and aligned to evolving business requirements.
The role acts as the bridge between subject matter experts, process owners, and technology teams, translating sourcing, procurement, and legal knowledge into structured content that can be effectively consumed by AI-enabled capabilities and end users.
Responsibilities:
Translate sourcing, procurement, and legal knowledge into structured, machine-readable content (e.g., guidance, decision frameworks, and business rules) that can be consistently reused across AI-enabled capabilities
Draft FAQ-style guidance, business explanations, and decision logic narratives
Provide examples and edge cases to support AI accuracy and consistency
Ensure all content aligns to approved taxonomy, classifications, and semantic definitions
Create, maintain, and continuously improve the business content and knowledge assets that support AI-enabled sourcing and procurement capabilities, ensuring information remains accurate, relevant, and aligned to business requirements.
Act as a core member of AI capability project teams, supporting the development, release, governance, and continuous improvement of AI-enabled solutions.
Partner with sourcing, procurement, legal, and operational subject matter experts to capture business knowledge and ensure business standards, policies, procedures, and process changes are accurately reflected across AI-enabled capabilities.
Create and maintain benchmark content, evaluation datasets, and test scenarios used to assess AI accuracy, consistency, and alignment with business requirements.
Review capability outputs, testing results, and user feedback to identify content gaps, inconsistencies, and opportunities for continuous improvement.
Operates within defined taxonomy, classification, and semantic models; does not define or create independent classifications, relationships, or semantic structures
Skills:
• Analytical Skills: Expertise in detailed and advanced system analysis.
• Communication Skills: Exceptional communication for a wide audience.
• Documentation: Excellence in managing complex document processes.
• Project Management: Skilled in handling and ensuring project deliverables.
• Problem-Solving: Proficiency in solving complex issues independently.
• Technical Understanding: A deep understanding of intricate system architectures.
• Collaboration: Capable of leading and coordinating high-performing teams.
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
Wolters Kluwer Pune, Mahārāshtra, IND Office
Building E, East Tower, Marisoft III. , Pune, India, 411014
