Knowledge Strategist Team Lead, Governance

Instacart Instacart · Consumer · United States · Remote · Customer Experience & Operations

This role leads the Governance group within the Knowledge Strategy team, focusing on establishing and maintaining content standards for readability and AI retrieval. The role involves owning the team's auditing function, spearheading internal projects to advance knowledge infrastructure, and managing a team of Knowledge Strategists. Key responsibilities include defining governance frameworks, optimizing knowledge architecture for AI tools, and leading the adoption of AI-driven tools to improve content quality and retrieval accuracy within a customer support context.

What you'd actually do

  1. Own governance and content standards: Define and maintain standards for readability, structure, and AI retrieval compatibility across the knowledge base. Establish guidelines and ensure adherence through regular auditing cycles.
  2. Lead auditing and quality assurance: Oversee regular audits of the knowledge base, identify gaps and inconsistencies, and drive remediation. Maintain a culture of accuracy and continuous improvement within the pod.
  3. Lead strategic internal projects: Spearhead high-impact projects such as migrating workflows across platforms and optimizing knowledge architecture for AI tools like Sierra and Genesys Copilot.
  4. Report knowledge metrics and drive continuous improvement: Track and report on knowledge health metrics. Identify trends, surface insights, and lead continuous improvement initiatives grounded in data.
  5. Lead and develop your team: Directly manage a small team of Knowledge Strategists. Provide coaching, mentorship, clear direction, and regular feedback to build a high-performing team. You’ll operate as a player-coach, executing work yourself as needed.

Skills

Required

  • 4+ years of experience in knowledge strategy within a high-volume customer support organization
  • Proven ability to identify, articulate, and resolve end-to-end operational inefficiencies, driving practical and scalable optimization with limited supervision
  • Robust, hands-on understanding of contact center and CRM systems (e.g., Salesforce, Genesys)
  • Advanced ability to interpret and leverage CX metrics (e.g., AHT, FCR) and content metrics (readability, deflection rates) to identify and implement improvements
  • Exceptional written and verbal communication skills, including the ability to translate complex technical processes into clear, accessible documentation for diverse audiences and advocate effectively for the end-user experience across cross-functional teams (Product, Engineering, Legal)

What the JD emphasized

  • AI retrieval compatibility
  • optimize knowledge architecture for AI tools
  • AI-driven tools

Other signals

  • AI retrieval compatibility
  • knowledge infrastructure
  • contact center AI tools
  • optimize knowledge architecture for AI tools
  • AI-driven tools to enhance content quality, retrieval accuracy, and governance efficiency