Accenture

Accenture

Posted via Workday

Knowledge Engineering Senior Manager- Talent and Workforce (All Genders)

Posted Oct 20, 2026

Role at a glance

Job function
AI & Data AI Solutions Architecture
Salary
Not Disclosed
Location
Kronberg, Campus Kronberg 1
Employment
Full-time
Experience
Senior Level
Education
Bachelor's degree or equivalent, plus all of the following:

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Role Summary

AI-generated

The Knowledge Engineering Senior Manager leads Knowledge Graph strategy, architecture, and delivery for complex client programs. The role also develops engineering teams and advances the practice through innovation, thought leadership, and reusable assets.

What You'll Do

  • Lead the Knowledge Graph solution scope for strategic and complex client programs.
  • Own the design, development, and implementation of AI and semantic solutions across programs.
  • Partner with project leaders, delivery leads, and senior client stakeholders to shape graph-powered offerings and make the business case...
  • Lead sales and pre-sales efforts and shape data transformation programs.
  • Drive thought leadership, innovation, and asset development, including work on trends and agentic technologies.
  • Develop teams and guide adoption of new methods and algorithms.

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

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Qualifications

Requires a bachelor's degree or equivalent; significant professional experience with Knowledge Graph technologies, schema design, ontology management, and KG curation; experience designing KG solutions and graph-based ML models; hands-on end-to-end data pipeline design and configuration for AI applications; knowledge of relational, object, graph, and vector databases; and managerial experience leading people, stakeholder communication, sales and/or pre-sales, data transformation delivery, and team development.

Required

  • Knowledge Graph technologies: RDF, SPARQL, LPG, and SHACL; schema design, ontology management, and KG curation.
  • Designing and developing KG solutions and graph-based ML models (functional and technical).
  • End-to-end data pipeline implementations for AI applications, especially LLMs, with hands-on design and configuration.
  • Relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases.
  • Managerial experience leading people; explaining the value of the semantic layer and knowledge graphs to senior business and technology...

Preferred

  • Practical experience with NLP techniques and/or search techniques, prompt engineering, and LLMs for enterprise-scale applications.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP).
  • Experience in Python, frameworks such as Tensorflow and PyTorch, and ETL pipeline tools such as Apache NiFi and Airflow.
  • 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

Shape the future of enterprise AI by leading Knowledge Graph strategy, architecture, innovation, and delivery across our most complex programs.

Your Mission

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 program


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 professional experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) , schema design, ontology management, and KG curation
  • Considerable experience designing and developing KG solutions and graph-based ML models (functional + technical)
  • Experience with end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration
  • Strong knowledge and experience with 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 Skills/ 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

  • Performance Equity
  • Flexible working models including home office
  • Access to over 30,000 training opportunities covering professional and soft skills

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.