Agentic Data Governance Lead (AI & Data)

Accenture Polska; Polen; Hybrid; PLN 180.000 - 240.000; Vollzeit

Zusammenfassung

Accenture Polska seeks a Data Governance Architect to shape scalable data architectures and establish governance across domains. You will work with Data Architects, AI teams, InfoSec, and Compliance to embed governance in processes and translate business needs into practical implementations.

You will guide semantic layer standards, ontologies, and knowledge graphs, linking business meaning to data assets in modern Data & AI platforms. Hybrid work model offered.

Qualifikationen

• Experience defining and implementing governance for distributed data architectures.
• Ability to translate business needs into practical data governance approaches.
• Knowledge of semantic technologies and standards (SKOS, RDF, SML).
• Track record in collaborating with data, security, compliance, and AI teams.

Aufgaben

• Contribute to governance approaches for distributed and scalable data architectures.
• Collaborate with Data Architects, Engineers, InfoSec, Compliance, and AI teams.
• Guide clients in semantic layer standards and infrastructure for Data & AI platforms.
• Design semantic layers, taxonomies, and ontologies for knowledge graphs.
• Model relationships across structured, semi-structured, and unstructured data.
• Participate in client workshops and governance activities for Agentic and Responsible AI.

Kenntnisse

Data governance

Knowledge graphs

Ontologies

Semantic layers

Data architecture

Federated governance

Metadata management

Agentic AI

Responsible AI

LLM data integration

Tools

SKOS

RDF

SML

Ontology modeling

Jobbeschreibung

Accenture Polska seeks a Data Governance Architect to shape scalable data architectures and establish governance across domains. You will work with Data Architects, AI teams, InfoSec, and Compliance to embed governance in processes and translate business needs into practical implementations.

You will guide semantic layer standards, ontologies, and knowledge graphs, linking business meaning to data assets in modern Data & AI platforms. Hybrid work model offered.