Knowledge Engineering Associate Manager

DataJobs; Amsterdam; On-site; EUR 130,000 - 180,000; Full time

Job summary

Accenture is seeking a senior Knowledge Graph leader to drive a major program’s AI and semantic capabilities. You will design, build, and govern graph-powered data architectures, advancing scalable KG solutions and ML models across complex use cases.

You will mentor teams across time zones, engage with clients, and contribute to sales and thought leadership while maintaining robust ontologies and data standards. This role emphasizes end-to-end delivery and strategic impact.

Qualifications

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

Responsibilities

• 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.

Skills

Knowledge Graph

RDF/SPARQL

KG curation

Python

NLP & Search

LLMs & enterprise apps

Team leadership

Cloud platforms

Graph databases

End-to-end AI delivery

Education

Bachelor's degree or equivalent

Ph.D. in CS/Engineering/Math or related

Tools

Stardog

Neo4J

Amazon Neptune

Apache NiFi

Airflow

TensorFlow

PyTorch

Job description

Role

You lead a significant knowledge engineering scope and function within a large program. You actively contribute to thought leadership. You shape how a substantial body of work formulates real-world problems into scalable AI and KG solutions, and you 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 you establish the standards others follow. You justify the value to business and technology stakeholders, and you 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 your scope.

#LI-EU

What you do

• 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.

What you bring

Education: Bachelor's degree or equivalent.

Basic (required) qualification

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

Preferred qualification

• Hands-on experience with cloud platforms (AWS, Azure, GCP).
• Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow).
• Practical experience with NLP and/or Search techniques.
• Prompt engineering, and LLMs for enterprise-scale applications.
• Team lead experience.
• Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.
• External client-facing consulting experience.
• Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
• Broad experience in diverse ML techniques and agentic systems.

About the employer

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services, creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.