**About Capgemini**:
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 everyday 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 rapid evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion.
**About Service Line**:
Our Insights and Data team helps our clients make better business decisions by transforming an ocean of data into streams of insight. Our clients are among Australia's top performing companies and they choose to partner with Capgemini for a very good reason - our exceptional people.
**Job Overview**:
The role requires a deep understanding of data modelling techniques, ontologies, and semantic web technologies, along with a strong ability to collaborate with cross-functional teams to ensure the successful implementation of semantic data structures.
**Responsibilities
- Bring thought leadership and experience in uplifting data management practices at the organization.
- Act as a thought leader in the technical space through researching and knowing industry trends as well as cutting edge tools and technologies.
- Collaborate with stakeholders to understand business requirements and information structures, translating these into comprehensive semantic data models that reflect the underlying relationships and dependencies within the data.
- Work and communicate effectively across multiple business and technology teams.
- Develop and implement semantic data models that facilitate the integration and interoperability of data across different platforms and systems.
- Create and maintain effective mapping, visibility, and traceability between models.
- Define business concepts, attributes and relationships and organize them into ontologies, taxonomies, and glossaries.
- Design and maintain ontologies, taxonomies, and vocabularies to establish a common understanding and representation of data across the organization.
- Evaluate and recommend suitable semantic technologies and tools for data integration, transformation, and scalability ensuring alignment with industry standards and best practices.
- Conduct regular assessments and audits of the semantic data models, identifying opportunities for optimization, enhancement, and increased data accessibility.
- Provide guidance and support to teams working on data integration projects, ensuring the seamless implementation and adherence to semantic data modelling principles.
- Stay updated on emerging trends and advancements in semantic web technologies and data integration practices and integrate relevant innovations into the organization’s semantic data model framework.
- Recommend and implement design and maintenance standards, guidelines, and procedures.
**Qualification & Soft Skills
- A Bachelor’s or Master’s degree in management information systems, Computer Science, Computer Information Systems, or a related Information Technology area
- Proven experience in semantic data modelling, ontology development, and data integration within a complex organizational environment.
- In-depth knowledge of semantic web technologies, RDF (Resource Description Framework), OWL(Web Ontology Language), and other relevant standards.
- Proficiency in data modelling tools and techniques, with the ability to design and implement effective semantic data models.
- Strong analytical, data profiling and problem-solving skills, with the capability to translate complex business requirements into comprehensive semantic data structures.
- Familiarity with data management systems, database technologies, and data governance principles.
- Excellent oral and written communication and interpersonal skills, enabling effective collaboration with stakeholders at various levels of the organization.
- Thorough understanding of modelling methodology and procedures
- Experience in Finance and Banking industry
- Desirable AI/ML experience
LI-AR1
📌 Data Modeler - Semantic Web Technologies
🏢 Capgemini
📍 Melbourne