Knowledge Engineering Manager (all genders)

Who You Are You lead a significant knowledge engineering scope and function within a large program; actively contribute to thought leadership. You shape how a substantial body of work formulates real-world problems into scalable AI and KG solutions, and set the technical direction for that scope. You lead a team and guide exploration and implementation of new methodologies, model building techniques, and cutting-edge algorithms. You remain at the forefront and drive innovation by applying these techniques to new business problems, use cases, and scenarios.

You design, evaluate, and maintain ontologies, and establish the standards others follow. You justify the value to business and technology stakeholders, and construct the methodologies and data architectures that demonstrate it. You publish or present perspective beyond the immediate project. You work across business and technical teams to drive end-to-end delivery for their scope. Your Daily Work Leads the build of Knowledge Graph solutions that transform a client's data architecture within program scope.

Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly. Works with project leaders, delivery leads, and client stakeholders to create stand-out, graph-powered Data & AI offerings. Develops strong client relationships and earns the trust of key advisors. Makes the business case for the semantic layer solution recommended to the client. Contributes meaningfully to Accenture sales and pre-sales efforts.

Provides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks, and concerns. EDUCATION Bachelor's degree or equivalent Required Qualifications Bachelor's degree or equivalent, plus at least 4 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) solid experience in schema design, ontology management, and KG curation Proven experience in designing and developing KG solutions and graph-based ML models (functional + technical) Experience with end-to-end data pipeline implementations for AI applications (esp.

LLMs), with hands-on design and configuration Strong knowledge/working experience of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases German and English are a must - minimum B2 level.

What We Offer

Flexible working models and hybrid work options that support your preferred way of working. Access to over 30,000 learning opportunities, certifications, mentoring, and continuous career development resources. Employee Share Purchase Program (ESPP) with preferential conditions. Employee Assistance Program (EAP) and wellbeing resources to support your personal and professional success. The opportunity to shape cutting-edge Generative AI, Knowledge Graph, and agentic AI solutions for leading global organisations.

The Accenture Culture: Here, YOU are the catalyst for change Your unique combination of skills, personality, and aspirations sets you apart. When distinct talents, strengths, and perspectives merge, the result is nothing short of extraordinary: ideas that propel the world forward. This is why we champion diversity and personal development at Accenture. Create a working environment where you truly thrive; with responsibilities that resonate deeply; with a workload that is perfectly aligned with your capabilities; and methods that are tailored to your objectives.

How you wish to connect, further your development, and personally evolve rests in your hands. This is your career. We are mere facilitators, helping you shape it exactly as you envision. Contact Us Any questions left? Feel free to contact our recruiting team via email at mahmoud.aly@accenture.com . We look forward to your application. Data Taxonomy, Graph Analytics, Graph Databases, Knowledge Engineering, Knowledge Graph, Metadata Management, Ontology, Semantic Web Technologies