Semantic Governance Managing Consultant - Ontologies and Semantics

Capgemini

Newcastle upon Tyne

Hybride

GBP 90 000 - 130 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Hybrid working
Learning for life
Flexible working

Résumé du poste

Capgemini is seeking a Semantic Governance Managing Consultant to define, govern and industrialise enterprise semantic assets such as ontologies, vocabularies, data contracts and knowledge graphs. You will lead a senior, client-facing team and drive consensus across business and technology stakeholders.

The role requires deep expertise in semantic technologies, ontology engineering and knowledge representation, with a track record of delivering semantic data platforms.

Qualifications

  • Over 10 years of experience in ontology engineering, semantic technologies, knowledge management and data modelling.
  • Proven track record delivering semantic and data governance programmes at enterprise scale.
  • Experience partnering with C-suite and senior leaders to drive data excellence.

Responsabilités

  • Define and govern enterprise ontologies and semantic standards.
  • Lead semantic governance across programmes ensuring interoperability across domains.
  • Design reusable semantic models for Knowledge Graph, Data Product and Data Contract initiatives.
  • Mentor teams and support growth of Capgemini's semantic data management capability.
  • Drive collaboration with SMEs, architects, and governance stakeholders to align terminology.

Connaissances

Ontology engineering
Semantic governance
Leadership
Stakeholder engagement
Knowledge representation

Outils

Neo4j
Stardog
GraphDB
AWS Neptune
Metaphacts
OWL
RDF
SKOS
SHACL
SPARQL

Description du poste

Who You'll Be Working With

You will join the Data Trust Capability in Capgemini's Insights and Data (I&D) business unit. Insights & Data is a global business unit covering Enterprise Data Management, Cloud Platforms, Enterprise Content Management, Data Governance, AI & Analytics.

Our Data Management practice is one of the largest and most successful in the UK, delivering innovative enterprise data, governance and semantic transformation programmes for global clients.

The Enterprise Data Management capability provides services across Data Governance, Data Strategy, Metadata Management, Master Data Management, Data Architecture, Data Quality and Data Products.

As organisations increasingly seek to unlock business value through semantic interoperability, knowledge-driven architectures and AI-enabled data platforms, we help our clients establish enterprise semantic foundations that enable trusted, reusable and interoperable data assets.

This role will be primarily focused on delivering the Semantic Layer Programmes, supporting the development of supporting the design and adoption of enterprise ontologies, semantic standards, controlled vocabularies and knowledge graph capabilities across complex client environments.

Security Clearance

To be successfully appointed to this role, must be eligible to obtain Security Check (SC) clearance.

To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.

Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.

Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.

Focus Of Your Role

We are seeking an experienced Semantic Governance Managing Consultant to define, govern and industrialise enterprise semantic assets that underpin Data Standards, Controlled Vocabularies, Data Contracts, Semantic Data Products and Knowledge Graph implementations.

This is a senior client-facing leadership role requiring deep technical expertise in ontology engineering, semantic technologies and knowledge representation, combined with the ability to engage senior stakeholders and facilitate consensus across business and technology teams.

The successful candidate will act as the semantic governance lead across the programme, ensuring semantic consistency, interoperability and reuse across manufacturing sites, data domains and digital platforms.

Responsibilities
  • Defining, developing and maintaining enterprise ontologies that support enterprise data domains.
  • Establishing and governing Controlled Vocabularies, Taxonomies, Business Glossaries and Semantic Standards.
  • Designing reusable semantic models that support Knowledge Graph, Semantic Data Product and Data Contract initiatives.
  • Applying ontology engineering methodologies and semantic modelling best practices across the enterprise.
  • Curating and governing ontology assets through agreed standards, design patterns, lifecycle processes and governance controls.
  • Driving semantic interoperability between systems, platforms, products and business functions.
  • Facilitating workshops with business SMEs, architects, data owners and governance stakeholders to establish common definitions, terminology and semantic alignment.
  • Supporting the implementation of enterprise semantic architectures across modern data platforms, including Snowflake, Databricks and associated metadata ecosystems.
  • Collaborating closely with manufacturing SMEs, solution architects, data engineers and governance teams to ensure enterprise-wide consistency and reuse of semantic assets.
  • Providing leadership on ontology lifecycle management, metadata management and semantic governance frameworks.
  • Supporting Knowledge Graph implementation programmes through semantic modelling, ontology design and standards adoption.
  • Contributing thought leadership in the areas of semantic technologies, ontology engineering, knowledge representation and AI-enabled semantic ecosystems.
  • Mentoring internal teams and supporting the growth of Capgemini's semantic data management capability.
Company Culture

At Capgemini, we believe in bringing your whole self to work. Equity, diversity, and inclusion are woven into our everyday culture, creating a welcoming and supportive environment for everyone.

You may also offer insights to the wider community through blogs, articles and social media.

What You'll Bring

As a Semantic Governance Managing Consultant, you will bring over 10 years of extensive experience in ontology engineering, semantic technologies, knowledge management, and enterprise data modelling, with a strong track record of driving semantic excellence across large organizations.

Key Experience
  • Partnering with C-suite executives and senior leaders across diverse industries and enterprise functional areas.
  • Engaging with Business Units, Enabling Functions, and Corporate Functions to establish and promote a culture of semantic and data excellence.
  • Designing, implementing, and governing enterprise-wide ontologies and semantic frameworks.
  • Delivering Knowledge Graph solutions and semantic data models at enterprise scale.
  • Facilitating workshops with business SMEs and senior stakeholders to define enterprise concepts, business terminology, and shared definitions.
  • Leading large, geographically distributed teams within complex global delivery environments involving multiple stakeholders.
  • Managing medium to large-sized teams and driving high-performing delivery organizations.
Technical Expertise
  • Deep hands-on experience with:
  • OWL (Web Ontology Language)
  • RDF (Resource Description Framework)
  • SKOS (Simple Knowledge Organization System)
  • SHACL (Shapes Constraint Language)
  • Semantic Web standards and technologies
  • SPARQL, Linked Data
Experience developing, managing, and governing
  • Controlled Vocabularies
  • Taxonomies
  • Business Glossaries
  • Semantic Standards
Knowledge and Domain Expertise
  • Semantic Interoperability
  • Metadata Management
  • Ontology Lifecycle Management
  • Knowledge Representation Principles
  • Data Governance Frameworks
Tools and Platforms
  • Neo4j
  • Stardog
  • GraphDBAWS Neptune
Experience with Metaphacts

is highly desirable and considered an advantage.

Hybrid Working

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service).

Benefits
  • You will be encouraged to have a positive work-life balance.
  • Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.
  • You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.
Why we're different

At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.

Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.

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