> Markdown version of [/jobs/ext/3145171-knowledge-engineer-taxonomy-content-operations-lead-organization](https://www.wearedevelopers.com/jobs/ext/3145171-knowledge-engineer-taxonomy-content-operations-lead-organization). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Knowledge Engineer / Taxonomy & Content Operations Lead Organization - **Company:** Manatt, Phelps & Phillips, Llp - **Location:** Boston, MA, United States (Remote available) - **Experience:** Expert - **Salary:** $130,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Process Management, Graph Database, Information Sciences, Knowledge Management, Knowledge-Based Systems, Metadata, Meta-Data Management, Metadata Standards, Enterprise Search, Generative AI, Information Technology, Automation Anywhere - **Published:** September 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/knowledge-engineer-taxonomy-content-operations-lead-boston-ma--8c4e0e00-3b4d-4df4-b5f8-f0789134f009 ## About the Role * (Required) 3+ years of experience in knowledge engineering, knowledge management, legal operations, business process management, information architecture, or content operations. * (Required) Bachelor's degree in information science, library/knowledge science, data/computer science, legal operations, or a related field, or equivalent professional experience. * (Required) Experience working directly with subject-matter experts to document and operationalize complex expertise, and to decompose complex work into decision logic, escalation pathways, business rules, and repeatable operating models. * (Required) Hands-on experience with taxonomy/metadata management, enterprise search, and structured content; familiarity with DMS platforms. * (Required) Working understanding of how GenAI retrieval, including RAG and vector/enterprise search, consumes structured knowledge and what AI-ready content requires. * (Required) Strong facilitation, interviewing, documentation, analytical, problem-solving, written, and verbal communication skills, with the ability to bridge business, operational, and technology teams. * (Required) Exceptional organizational skills and strong attention to detail. * (Required) Demonstrated reliability and the ability to work both independently and collaboratively within a hybrid remote and in-office team environment. The Firm operates on a hybrid work schedule requiring in-office presence Tuesday through Thursday, with optional remote work permitted on Mondays and Fridays. All employees must remain available for onsite work up to five days per week as business needs dictate. This schedule is subject to change; flexibility is required. * (Preferred) Experience supporting both legal and consulting/advisory content, or in a dual-discipline firm. * (Preferred) Exposure to knowledge graphs, ontology tooling, or metadata automation. * (Preferred) Experience translating policies and playbooks into requirements for automation or AI-enabled solutions. * (Preferred) Familiarity with confidentiality and ethical-wall requirements in a regulated professional environment. The base annual pay range for this role is between $130,000 - $160,000. The base pay to be offered will vary and depend on skills and qualifications, experience, location and will also take into account internal equity. A full range of medical, financial and/or other benefits dependent on the position will also be offered., Analysis Skills, Artificial Intelligence (AI), Automation, Business Operations, Business Process Management, Business Skills, Business Strategy, Communication Skills, Computer Science, Consulting, Content Structure, Data Modeling, Detail Oriented, Documentation, Documentation Models, Information Architecture, Knowledge Engineering, Knowledge Management, Knowledge Modeling, Legal, Legal Standards, Library and Information Science, Machine Tool, Management of Information Systems/Technology (MIS), Metadata, Metrics, Ontology, Operational Improvement, Operations Processes, Organizational Skills, Presentation/Verbal Skills, Problem Solving Skills, Professional Services, Quality Assurance Methodology, Quality Metrics, Reporting Dashboards, Risk, Support Documentation, Taxonomies, Work From Home, Writing Skills ## Description * Partner with subject-matter experts across practice groups and Manatt Health sectors to capture and document decision-making frameworks, risk tolerances, operating procedures, escalation criteria, and business rules. * Identify and translate complex domain expertise into structured, repeatable guidance that can be applied consistently across processes, workflows, and service-delivery activities. * Develop and maintain decision trees, knowledge models, issue taxonomies, precedent repositories, playbooks, guidance libraries, and other reusable knowledge assets. * Design and govern firm-wide taxonomies, controlled vocabularies, and metadata standards across legal and Manatt Health content, ensuring consistency across the DMS, enterprise search, and experience management platforms. * Analyze practice and service-delivery activities to identify opportunities for standardization, simplification, scalability, and operational improvement. * Design future-state workflows that integrate attorneys, consultants, operational teams, and technology solutions, and document the supporting operating procedures and process maps. * Structure precedents, model documents, clause libraries, and consulting deliverables into clean, tagged, retrieval-ready formats that support enterprise search, RAG pipelines, and approved GenAI tools. * Translate policies, procedures, playbooks, and decision frameworks into structured business requirements suitable for automation and AI-enabled solutions. * Partner with the AI Enablement Manager, IT, and vendors to ensure institutional expertise is accurately represented within workflows, knowledge systems, and AI-enabled tools, and to keep AI workflows grounded in high-quality knowledge content. * Establish quality standards and testing methodologies to evaluate the consistency, reliability, and appropriateness of technology-generated outputs. * Own the data model and content quality behind the unified experience management system covering both matters and Manatt Health engagements. * Report findability, content-health, and reuse metrics into the quarterly KM value dashboard., This employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization.IMPORTANT: If the Government cannot confirm that you are authorized to work, this employer is required to provide you written instructions and an opportunity to contact SSA and/or DHS before taking adverse action against you, including terminating your employment. Employers may not use E-Verify to pre-screen job applicants or to re-verify current employees and may not limit or influence the choice of documents presented for use on the Form I-9. In order to determine whether Form I-9 documentation is valid, this employer uses E-Verify's photo screening tool to match the photograph appearing on some permanent resident and employment authorization cards with the official U.S. Citizenship and Immigration Services' (USCIS) photograph. If you believe that your employer has violated its responsibilities under this program or has discriminated against you during the verification process based upon your national origin or citizenship status, please call the Office of Special Counsel at 1-800-255-7688 (TDD: 1-800-237-2515). ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Building an AI-Ready Content Lake: Scaling RAG and Document AI Beyond Demos](https://www.wearedevelopers.com/videos/1977-building-an-ai-ready-content-lake-scaling-rag-and-document-ai-beyond-demos) - [Give Your LLMs a Left Brain](https://www.wearedevelopers.com/videos/1160-give-your-llms-a-left-brain) ## Related Articles - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)