Manager of AI-Enabled Knowledge Management

MAKE STRATEGY A REALITY | ACCELERATE YOUR GROWTH | CHOOSE YOUR PATH

As the world&39s leading change and transformation consultancy we&39re helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last.

We&39re seeking a Manager of AI-Enabled Knowledge Management in our Atlanta GA office to help evolve how the firm captures curates governs and activates knowledge in an AI-powered era. This role will play a strategic and operational part in strengthening the firms knowledge foundation-our competitive advantage-by improving content quality discoverability reuse and integration into client delivery and business development workflows.

SUMMARY

As part of the Knowledge & Strategy function within the Strategy & Growth team the AI-Enabled Knowledge Management Manager will lead end-to-end knowledge lifecycle activities from capture and curation to taxonomy governance and adoption. The role partners with IT Data AI owners to define KM requirements for RAG semantic search metadata knowledge quality source validation and governance. The role will also incorporate applied and builder-level AI capabilities helping design and implement AI-enabled knowledge workflows e.g. copilots metadata automation semantic search that improve speed accuracy and usability while maintaining strong governance and trust.

The role will partner closely with Practice leaders account teams Strategy & Growth Marketing Technology and client-facing teams to ensure knowledge is high-quality accessible and embedded into how the firm sells and delivers work. The role will also cross-train with Research colleagues to support secondary research needs when required though research is not a primary responsibility.

KEY RESPONSIBILITIES

A Knowledge asset lifecycle & IP reuse

• Oversee knowledge capture processes for priority assets including project deliverables proposals qualifications methodologies and reusable client assets.

• Partner with subject matter experts and account teams to ensure content accuracy relevance and alignment with business priorities.

• Accountable for AI knowledge architecture and AI quality controls partnering with AI COE IT teams

• Define and maintain content curation standards including quality context sensitivity and reuse guidelines.

• Identify content gaps duplication and outdated materials drive refresh consolidation or retirement actions.

• Facilitate knowledge-sharing sessions and enablement activities for client-facing teams.

• B AI-enabled knowledge systems and workflow design

• Apply AI tools to improve knowledge workflows including summarization classification metadata enrichment and content discovery.

• Help design and scale AI-enabled KM capabilities e.g. copilots knowledge assistants semantic search metadata automation.

• Develop and maintain reusable prompt libraries templates and workflow playbooks for KM use cases.

• KM product owner roadmap partner for Hub search AI-enabled knowledge experiences

• Partner with Technology and business stakeholders to define requirements for AI-enabled knowledge systems.

• Evaluate AI-generated outputs for accuracy relevance and alignment with firm standards.

• Support experimentation and adoption of emerging AI KM capabilities.

• C Taxonomy metadata and knowledge architecture

• Own and evolve taxonomy metadata tagging and content structures to improve findability and reuse as enterprise search AI and semantic retrieval evolves.

• Translate business needs and user behavior into practical information architecture improvements.

• Establish and maintain metadata standards and controlled vocabularies.

• Enable AI-assisted tagging and metadata workflows with appropriate governance and validation.

• Use analytics and user feedback to continuously improve search relevance and knowledge experience.

• D Governance quality and trust

• Maintain governance practices for knowledge quality lifecycle management and content ownership.

• Define and enforce standards for content validation freshness and reuse.

• Partner with Legal Compliance and Technology to ensure secure and responsible knowledge use.

• Drive and promote responsible AI practices including source validation transparency human-in-the-loop review content provenance confidentialitypermissions AI answer-quality feedback loops and AI-ready knowledge standards.

• Monitor and report on KM health metrics quality usage adoption gaps.

• E Adoption and knowledge-sharing culture

• Drive adoption of KM tools practices and AI-enabled workflows through promotion training and stakeholder engagement.

• Develop communications playbooks and enablement materials to support knowledge reuse.

• Build strong relationships across teams to encourage contribution and continuous improvement.

• Translate KM and AI concepts into clear business-relevant messaging.

• F Insights integration & business value

• Support secondary research efforts e.g. market scans competitive intelligence benchmarking when needed.

• Partner within Strategy & Growth Marketing Practices and IT to improve reuse and speed to insight.IDEALLY WE&39D LIKE

• Bachelors degree in information science Business Administration Library Sciences or related field Master&39s degree preferred

• 7 years of experience in knowledge management information management or related field preferably in consulting or professional services.

• Strong understanding of KM principles taxonomy metadata and knowledge lifecycle management with a focus on AI applications and use cases.

• Proficiency in enterprise knowledge platforms e.g. SharePoint and content systems.

• Practical experience applying AI tools proactively to transform workflows enhance KM and content management activities and drive quality decision-making.

• Strong analytical critical thinking and problem-solving skills.

• Excellent communication skills including visual communication with the ability to simplify complex concepts and demonstrate the business impact of KM solutions

• Emotional intelligence relationship-building change management and stakeholder management skills to foster a knowledge-sharing culture.

• Posture of curiosity open-mindedness bias for action and tolerance for ambiguity and always-on" change in the business and KM landscape. A positive can-do spirit.

• Preferred Qualifications

• Experience with enterprise search semantic search or AI-enabled knowledge systems.

• Experience developing taxonomies metadata schemas or information architecture.

• Familiarity with data visualization and reporting tools e.g. Power BI.

• Experience supporting research or insights generation.

• Understanding of data governance and responsible AI practices.

• Tools & Technology Expectations

• Knowledge platforms e.g. SharePoint Teams

• Enterprise AI tools e.g. Microsoft Copilot Claude

• Data visualization and reporting tools e.g. Excel Power BI

• Content and metadata management tools

• Workflow and automation tools e.g. Power Automate

• Competencies

• Knowledge curation and content strategy

• Information architecture taxonomy metadata findability

• AI-enabled workflow design and application

• Governance and quality management

• Stakeholder collaboration and influence

• Analytical thinking and insight generation

• Communication and storytelling

• Adaptability and continuous improvement mindset

• Expectations

• Productivity Delivers high-quality work within expected timeframes.

• Accuracy of Work Ensures precision and quality in content data and outputs.

• Business Acumen Aligns KM activities with business priorities and client value.

• Relationship Management Builds strong partnerships through responsiveness collaboration knowledge share and a solution-oriented approach.

• Communication Provides clear effective messaging across formats and audiences to influence the business.

• Cultural Awareness Demonstrates alignment with North Highlands values and collaborative culture.

• Applicants must be authorized to work in the United States without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided either now or in the future for this position.North Highland is an equal opportunity employer and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race color sex gender identity religion national origin age sexual orientation disability veteran status or any other characteristic protected by law. We handle all information in accordance with local privacy standards and maintain strict confidentiality.