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Accenture

Advises businesses and runs their technology

Agentic Data Governance Specialist - AI&Data

Data ManagementConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • Experience moving beyond standard data governance to governance frameworks based on ontologies, graphs, and Agentic AI.
  • A strong conceptual understanding of graph concepts in governance and their use in agent-based environments; deep hands-on experience is not strictly required, but core concepts are essential.
  • Strong understanding of modern enterprise data ecosystems and governance challenges in AI-driven organizations, including distributed data ownership models, federated governance, and metadata-driven architectures.
  • Hands-on familiarity with semantic layers, business glossaries, taxonomies, and ontology or knowledge graph approaches such as RDF/OWL and SKOS.
  • Understanding of cloud-based data platforms such as Snowflake, Databricks, Synapse, BigQuery, or Redshift.
  • Ability to work confidently with technical and non-technical stakeholders.
  • Strong communication and stakeholder management skills, and a pragmatic, forward-thinking approach to governance in fast-changing organizations.

Responsibilities

  • Contribute to governance approaches for distributed and scalable data architectures, including domain-oriented ownership, federated governance models, and metadata-driven practices that enable continuous improvement.
  • Collaborate with Data Architects, Engineers, InfoSec, Compliance, and AI teams to embed governance principles into technical and operational processes and translate business needs into practical implementation approaches.
  • Guide clients in defining and implementing semantic layer standards, including SKOS, RDF, and SML, as foundational infrastructure for modern Data & AI platforms.
  • Design and operationalize semantic layers, business glossaries, and taxonomies; develop ontology- and knowledge-graph-driven data models linking business meaning to physical data assets, including in agentic and LLM environments.
  • Apply knowledge graphs and ontologies to model complex relationships between business entities across structured, semi-structured, and unstructured data sources.
  • Participate in client workshops, governance assessments, and solution-shaping activities, while establishing robust governance around Agentic AI, Responsible AI, and modern enterprise data management.

Desired Qualifications

  • Familiarity with graph databases such as AWS Neptune and understanding of their application in agentic AI contexts.
  • Experience in consulting or multi-client environments, including supporting RFP responses, solution shaping, or proposal development within the Data & AI domain.
  • Experience with governance and data catalog tools such as Atlan, Collibra, Purview, or Alation, and real-world implementation of semantic models, enterprise taxonomies, or domain ontologies.
  • Familiarity with knowledge graphs, semantic web standards, Responsible AI, or comprehensive AI governance frameworks.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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