Knowledge Engineering Manager
Accenture
Overview
In this role you lead the development of Knowledge Graph and AI-semantic solutions within a major program, shaping how client data is connected and leveraged at scale. You’ll collaborate with cross-functional teams and client stakeholders to craft standout graph-powered offerings, justify the business value, and drive end-to-end delivery. You contribute thought leadership on technology trends, risks, and opportunities, supporting sales and pre-sales efforts. This position combines technical leadership with strategic influence in a fast-moving environment.
Responsibilities- Lead the build of Knowledge Graph solutions and transform client data architectures within the program scope
- Design, develop, and implement AI and semantic components ensuring cohesive integration
- Collaborate with project leaders and client stakeholders to create graph-powered Data & AI offerings
- Develop strong client relationships and earn trust of key advisors
- Make the business case for the semantic layer solution to clients
- Contribute to Accenture sales and pre-sales activities
- Provide thought leadership on technology trends, opportunities, and risks
- Guide end-to-end delivery and cross-functional collaboration across teams
- Bachelor's degree or equivalent, plus at least 4 of the following criteria
- Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
- Strong schema design, ontology management, and KG curation
- Proven KG solution design/development and graph-based ML experience
- Experience with end-to-end data pipeline implementations for AI, especially LLMs
- Solid knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
- Client relationship building
- Thought leadership
- Cross-functional collaboration
- Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
- Ontology design and KG curation
- Graph-based ML modeling
Reference: WJ-747_30166767