6 дней назад
Enterprise Semantic Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Enterprise Semantic Architect (AI) (Semantics/Knowledge Graphs): Defining and enabling Saab’s enterprise approach to terminology management, semantic modelling, ontologies, taxonomies, and knowledge graphs with an accent on interoperability, information quality, and reuse across organisational and technical boundaries. Focus on establishing standards and governance, integrating semantic capabilities into data initiatives, and driving adoption across a large decentralised organisation.
Location: Solna or Linköping, Sweden
Company
is a defence and security company developing and maintaining advanced systems in aeronautics, weapons, command and control, sensors, and underwater systems.
What you will do
- Define the enterprise approach to terminology management, semantics, ontologies, taxonomies, and knowledge graphs.
- Establish principles, standards, governance models, business vocabularies, semantic models, and knowledge structures.
- Collaborate with business stakeholders, architects, information managers, data professionals, platform teams, and subject matter experts.
- Integrate semantic capabilities into information, data, digital, analytics, and AI initiatives.
- Drive adoption through coaching, practical guidance, and communities of practice.
Requirements
- Extensive experience in Information Management, Data Management, Knowledge Management, or a related discipline.
- Proven experience establishing enterprise-wide capabilities in large and complex organisations.
- Deep expertise in terminology management, business glossaries, taxonomies, ontologies, semantic modelling, and knowledge graphs.
- Experience defining enterprise-wide standards, frameworks, and ways of working.
- Ability to communicate complex concepts to business and technical audiences and influence stakeholders across organisational boundaries.
- Understanding of modern information and data management practices, including Data Mesh principles and cloud-based data environments.
Nice to have
- Experience in Enterprise Architecture or Information Architecture.
- Experience with Metadata Management, Master Data Management, or Reference Data Management.
- Experience with Data Product Management, Data Mesh operating models, graph technologies, or graph databases.
- Experience with AI and Generative AI or large multinational and highly federated organisations.
Culture & Benefits
- Work in a technology-focused defence and security organisation with a purpose of helping keep people and society safe.
- Collaborate across a large, decentralised organisation and contribute to long-term information and data capabilities.
- Join an organisation of approximately 28,000 employees with operations around the world.
- Contribute to advanced systems spanning aeronautics, weapons, command and control, sensors, and underwater systems.
Hiring process
- The recruitment process is ongoing and the position may be filled before the closing date.
- Security vetting is required; additional citizenship obligations may apply for positions requiring security clearance.
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