Accenture

Accenture

Posted via Workday

Knowledge Engineering Senior Manager (all genders)

Posted Sep 28, 2026

Role at a glance

Job function
AI & Data AI Solutions Architecture
Salary
Not Disclosed
Location
Kronberg
Employment
Full-time
Education
Bachelor's degree or equivalent, plus all of the following:

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Role Summary

AI-generated

This role leads knowledge engineering and Knowledge Graph solution work for strategic, complex client programs. It sets the architecture and standards for AI and semantic solutions while developing teams, offerings, and reusable assets for the discipline.

What You'll Do

  • Lead Knowledge Graph solution scope and transform client data architecture.
  • Own the design, development, and implementation of AI and semantic solutions across programs.
  • Partner with project leaders, delivery leads, and senior client stakeholders on graph-powered offerings.
  • Build trusted-advisor relationships with senior clients and make the executive-level business case for semantic-layer solutions.
  • Lead sales and pre-sales efforts and shape data transformation programs.
  • Drive practice thought leadership, innovation, and asset development, and develop the teams delivering the work.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Bachelor's degree or equivalent, plus significant experience with Knowledge Graph technologies; schema design, ontology management, and KG curation; designing and developing KG solutions and graph-based ML models; end-to-end data pipelines for AI applications; relational, object-store, graph, and vector databases; and managerial experience leading people, explaining semantic-layer and knowledge-graph value to senior stakeholders, sales and/or pre-sales, data transformation delivery, and team development.

Preferred

  • 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,...
  • Strong collaboration skills and 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

Original job description

Content provided by the employer

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.


#LI-EU


The Accenture Culture: Here, YOU are the catalyst for change

Your unique combination of skills, personality, and aspirations sets you apart. When distinct talents, strengths, and perspectives merge, the result is nothing short of extraordinary: ideas that propel the world forward. This is why we champion diversity and personal development at Accenture. Create a working environment where you truly thrive; with responsibilities that resonate deeply; with a workload that is perfectly aligned with your capabilities; and methods that are tailored to your objectives. How you wish to connect, further your development, and personally evolve rests in your hands. This is your career. We are mere facilitators, helping you shape it exactly as you envision.

Contact Us

Any questions left? Feel free to contact our recruiting team via email at [email protected]. We look forward to your application.

About Accenture

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 

Erklärung zur Chancengleichheit am Arbeitsplatz

Wir sind der Meinung, dass niemand aufgrund seiner Andersartigkeit diskriminiert werden sollte. Alle Einstellungsentscheidungen werden unabhängig von Alter, Rasse, Glaubensbekenntnis, Hautfarbe, Religion, Geschlecht, nationaler Herkunft, Abstammung, Behinderung, Veteranenstatus, sexueller Orientierung, Geschlechtsidentität oder -ausdruck, genetischen Informationen, Familienstand, Staatsbürgerschaft oder anderen gesetzlich geschützten Kriterien getroffen. Unsere große Vielfalt macht uns innovativer, wettbewerbsfähiger und kreativer und hilft uns, unsere Kunden und unsere Gemeinschaften besser zu betreuen.

Accenture

About the company

Accenture

Large Enterprise

Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.