Knowledge Engineering Senior Manager

Accenture; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Accenture in Hong Kong seeks a Knowledge Graph Lead to shape and implement scalable KG and AI solutions within a large program. You will lead a team, drive end-to-end delivery, and guide exploration of new methodologies and data architectures that translate business problems into graph-powered data products.

Responsibilities include designing and deploying KG solutions, collaborating with stakeholders, and contributing to sales efforts while publishing insights and innovations for the

Qualifications

• Bachelor's degree or equivalent, plus at least 4 of the listed requirements.
• Minimum 3 years of experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
• Minimum 3 years of experience in schema design, ontology management, and KG curation.
• Minimum 3 years of designing and developing KG solutions and graph-based ML models.
• Minimum 2 years of experience with end-to-end data pipeline implementations for AI applications.
• Minimum 4 years of experience with relational databases, object stores, graph databases, and vector databases.
• Minimum 2 years of experience leading a team or workstream in a larger program.

Responsibilities

• Leads the build of Knowledge Graph solutions transforming a client's data architecture.
• Directs design, development, and implementation of AI and semantic solutions.
• Collaborates with project leaders and client stakeholders to create graph-powered offerings.
• Develops client relationships and earns advisor trust.
• Justifies the value of the semantic layer solution to the client.
• Contributes to Accenture sales and pre-sales efforts.
• Provides thought leadership on technology trends, opportunities, innovations, and risks.

Skills

Knowledge Graph technologies

Schema design

KG curation

KG solutions & graph-based ML

End-to-end data pipelines for AI

Databases & graph DBs

Team leadership

Education

Bachelor's degree or equivalent

Tools

Stardog

Neo4J

Amazon Neptune

Vector databases

Job description

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.

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.

THE 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.

Basic (required) Qualification

• Bachelor's degree or equivalent, plus at least 4 of the following:
• Minimum 3 years of experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
• Minimum 3 years of experience in schema design, ontology management, and KG curation
• Minimum 3 years of designing and developing KG solutions and graph-based ML models (functional + technical)
• Minimum 2 years of experience with end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration
• Minimum 4 years of experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
• Minimum 2 years of experience in leading a team or workstream within a larger program