Knowledge Engineering Senior Manager

Reposted 16 Hours Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Information Technology
The Role
Lead knowledge engineering strategy and delivery for complex client programs, designing AI, semantic, ontology, and knowledge graph solutions. Guide end-to-end architecture, data pipelines, graph-based machine learning, and LLM applications. Develop engineering teams, establish ontology and knowledge graph standards, create reusable assets and thought leadership, support sales and pre-sales, and advise senior stakeholders on semantic-layer value and data transformation initiatives.
Summary Generated by Built In

YOU ARE

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.

THE 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.

BASIC (REQUIRED) QUALIFICATION

  • Bachelor's degree or equivalent, plus all of the following:

  • Significant experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)

  • Advanced practical knowledge of schema design, ontology management, and KG curation

  • Seasoned in designing and developing KG solutions and graph-based ML models (functional + technical)

  • Proven experience in end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration

  • Extensive experience with strong knowledge 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 QUALIFICATION

  • 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)

  • Well-versed 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.

#LI-MP

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 

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.

Skills Required

  • Bachelor's degree or equivalent
  • Significant experience with Knowledge Graph technologies, including RDF, SPARQL, LPG, and SHACL
  • Advanced practical knowledge of schema design, ontology management, and knowledge graph curation
  • Experience designing and developing knowledge graph solutions and graph-based machine learning models
  • Experience implementing end-to-end data pipelines for AI applications, especially LLMs
  • Extensive experience with relational databases, object stores, graph databases, and vector databases
  • Experience with Stardog, Neo4j, and Amazon Neptune
  • Managerial experience leading people and developing engineering teams
  • Ability to explain semantic layers and knowledge graphs to senior business and technology stakeholders
  • Proven track record in sales and/or pre-sales
  • Experience delivering data transformation programs
  • Practical experience with NLP techniques, search techniques, or prompt engineering
  • Experience with LLMs for enterprise-scale applications
  • Hands-on experience with AWS, Azure, or GCP
  • Proficiency in Python and experience with TensorFlow, PyTorch, Apache NiFi, or Airflow
  • Collaboration experience across engineering, research, and product teams
  • External client-facing consulting experience
  • Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field
  • Broad experience with machine learning techniques and agentic systems

Accenture Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.

  • Healthcare Strength Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
  • Retirement Support Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
  • Parental & Family Support Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.

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The Company
HQ: Dublin
456,553 Employees
Year Founded: 1989

What We Do

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

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