Semantic Data Modeler

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast-evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported 2023 global revenues of €22.5 billion.

Come and join a thriving company and become part of a diverse global collective of free-thinkers, entrepreneurs and industry experts who are all driven to use technology to reimagine what’s possible. Capgemini. Get the future you want.

**Let us**talk about the team**:
We are looking for an experienced Semantic Data Architect with deep expertise in semantic data modeling techniques and knowledge representation in the Semantic Web. This role requires strong experience with RDF/OWL, SHACL ontology rules, SKOS vocabulary frameworks, and open linked data mechanisms. You will be responsible for creating, managing, and governing ontologies, vocabularies, and semantic knowledge graph platforms, collaborating with cross-functional teams to ensure successful implementation.

**Responsibilities**:

- Lead the uplift of data management practices within the organization, providing thought leadership and expertise.
- Guide the development of Semantic Ontologies and the use of ontology query languages.
- Define and implement standards, guidelines, and procedures for ontology design and maintenance.
- Recommend and implement semantic technologies and tools to ensure data integration, transformation, and scalability, in alignment with industry best practices.
- Identify and implement use cases that deliver business value through semantic data modeling.
- Prepare training materials, assist in training, and advise on the practical implementation of semantic ontologies.
- Stay at the forefront of emerging industry trends and technologies, incorporating them into the organization’s semantic data strategy.
- Collaborate with business stakeholders to understand data requirements and translate them into comprehensive semantic ontologies.
- Develop semantic ontologies that enable data integration and interoperability across systems and platforms.
- Validate ontologies to ensure they meet business requirements and support AI and ML initiatives.
- Design and maintain ontologies, taxonomies, and vocabularies to standardize data representation across the organization.
- Conduct regular assessments and audits of semantic ontologies, identifying opportunities for optimization and improvement.
- Provide guidance to teams working on data integration projects, ensuring adherence to semantic data modeling principles.
- Integrate relevant innovations in semantic web technologies into the organization's data model framework.

**Qualifications & Soft Skills**:

- Bachelor’s or Master’s degree in Management Information Systems, Computer Science, Computer Information Systems, or a related field.
- In-depth knowledge of semantic web technologies, including RDF, OWL, SHACL, SKOS, and other relevant standards.
- Proven experience in semantic ontology development and data integration within complex organizational environments.
- Proficiency in tools for managing and governing ontologies, vocabularies, and semantic knowledge graph platforms.
- Strong analytical skills, with the ability to translate complex business requirements into semantic data structures.
- Familiarity with data management systems, databases, and data governance principles.
- Excellent communication and interpersonal skills to collaborate with stakeholders across various levels of the organization.
- Thorough understanding of modeling methodologies and procedures.
- Experience in the Finance and Banking industries is preferred.
- AI/ML experience is a plus.

**About Capgemini**

**At Capgemini, we are more than just a business, we are a diverse global collective of strategic and technological experts who are passionate about finding ways technology can help our clients, our people and our communities get the future they want.**

**Our people are the key to making this vision a reality, which is why we have been recognized by the Australian Workplace Equality Index as LGTBQ+ ‘Employer of the Year’ and ‘Inclusion of Trans and Gender Diverse Employees’ for the past two years. We believe in creating a safe, flexible, and inclusive culture where everyone can bring their authentic selves to work, contributing to our inclusive culture and truly belonging, and our staff-led community groups are a testament to this commitment. We are committed to being ac