Knowledge Engineering Senior Manager (all genders)

Accenture; Kronberg im Taunus; Hybrid; EUR 100,000 - 150,000; Full time

Benefits offered by this job

Flexible working models

Hybrid working options

Mentoring and coaching

Job summary

Accenture is seeking a senior Knowledge Graph Architect to lead strategic KG programs. You will own ontology design, data architectures, and end-to-end AI/semantic solutions for multi-stakeholder clients. The role requires strong KG tooling experience and a track record in pre-sales and delivery leadership.

Join a team that shapes enterprise AI at scale, collaborates across engineering, research, and product, and mentors teams to deliver impactful data transformations in global projects.

Qualifications

• Significant experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
• Hands-on KG design, ontology management, and KG curation.
• Experience with end-to-end data pipelines for AI applications (LLMs).

Responsibilities

• Lead the complete Knowledge Graph solution scope for strategic clients.
• Design, develop, and implement AI and semantic solutions across programs.
• Build trusted-advisor relationships with senior client stakeholders.
• Lead sales and pre-sales efforts and shape data transformation programs.
• Drive thought leadership and asset development on trends.

Skills

Knowledge Graph technologies

RDF

SPARQL

Ontology management

Graph databases

End-to-end data pipelines

Sales / pre-sales experience

Python

Education

Bachelor’s degree or equivalent

Ph.D. in CS/Engineering/Math

Tools

Stardog

Neo4J

Amazon Neptune

TensorFlow/PyTorch

Apache NiFi/Airflow

Job description

You lead the complete knowledge engineering scope on our most strategic and complex programs; lead creation of thought leadership, innovation, and assets for the discipline. You own how the most demanding programs formulate real-world problems into scalable AI and KG solutions, setting strategy and architecture end to end. You lead and develop teams of engineers, building capability across the discipline and guiding adoption of new methods and algorithms. You define what staying at the forefront means for the practice; drive innovation and translate it into new offerings. You set the standards for how ontologies are designed, evaluated, and maintained across programs. You make the case to senior stakeholders and shape the methodologies and data architectures that prove value at scale. You lead the creation of thought leadership, innovation, and reusable assets that advance the discipline beyond any single engagement. You partner with business and technical leaders to direct end-to-end delivery across complex, multi-stakeholder programs.

Your Daily Work

• Lead the complete Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients.
• Own the design, development, and implementation of AI and semantic solutions across the program.
• Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings.
• Develop trusted-advisor relationships with senior client stakeholders.
• Make and defend the business case for the semantic layer solution at the executive level.
• Lead Accenture sales and pre-sales efforts and shape data transformation programs.
• Drive the practice’s thought leadership, innovation, and asset development on trends and agentic technologies, and develop the teams who deliver them.

Who You Are:

• Bachelor’s degree or equivalent, plus all of the following:
• Significant experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation
• Working experience designing and developing KG solutions and graph-based ML models (functional + technical)
• Proven experience with end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration
• Strong knowledge and experience of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
• Managerial experience leading people, able to explain the value of the semantic layer and knowledge graphs to senior business and technology stakeholders, with a proven track record in sales and/or pre-sales and in delivering data transformation programs and developing teams

Preferred Experience:

• Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering
• Experience with LLMs for enterprise-scale applications. 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)
• Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.
• You have 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.

What We Offer

Access to more than 30,000 learning opportunities, certifications, and leading technology partnerships to accelerate your professional growth.

Flexible working models, including hybrid working options, allowing you to balance work and personal commitments.

The opportunity to work on complex enterprise AI, data, and transformation programmes for leading global organisations.

Mentoring, coaching, and leadership development programmes that support your long-term career ambitions.

A collaborative environment where innovation, knowledge sharing, and continuous learning are encouraged.

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