Knowledge Engineering Senior Manager
Accenture
Overview
In this role you lead end-to-end Knowledge Graph programs for strategic clients, shaping AI and semantic solutions that transform data architectures. You partner with senior stakeholders to articulate the business value of the semantic layer and drive delivery across multi-stakeholder programs. You build and mentor teams, advance innovation, and translate cutting-edge KG work into scalable offerings. You will influence executive-level decisions and contribute to Think leadership in data and AI.
Responsibilities- Lead the complete Knowledge Graph solution scope for strategic clients
- Own design, development, and implementation of AI and semantic solutions
- Partner with project leaders and senior stakeholders to create graph-powered offerings
- Develop trusted-advisor relationships with senior clients
- Defend the business case for semantic layer solutions at the executive level
- Lead sales and pre-sales efforts and shape data transformation programs
- Drive thought leadership, asset development, and team development in KG and related trends
- Significant experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
- Advanced practical knowledge of schema design, ontology management, and KG curation
- Proven track record in designing and delivering KG solutions and graph-based ML models
- End-to-end data pipeline implementations for AI applications (esp. LLMs) with hands-on design and configuration
- Extensive experience with relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
- Managerial experience leading people with ability to articulate value of semantic layer and KG to executives, and with sales/pre-sales experience
- stakeholder management
- cross-functional collaboration
- executive communication
- KG technologies: RDF, SPARQL, LPG, SHACL
- Graph databases: Stardog, Neo4J, Amazon Neptune
- Vector databases
Reference: WJ-747_30176696