Head of Ontology

Head of Ontology

Full-Time 80000 - 100000 £ / year (est.) No home office possible
Argus Media

At a Glance

  • Tasks: Lead the strategy and design of semantic data models and knowledge graphs for AI integration.
  • Company: Join Argus, a leading independent provider of market intelligence in the global energy sector.
  • Benefits: Enjoy competitive salary, hybrid working, extensive training, and 25-30 days holiday.
  • Other info: Be part of a rapidly growing company with a commitment to professional development.
  • Why this job: Make a real impact on data governance and drive innovation in a dynamic environment.
  • Qualifications: Extensive experience in data modelling, ontology design, and team leadership required.

The predicted salary is between 80000 - 100000 £ per year.

Technology is central to everything we do, and a key aspect of the evolving technology organization is to be aware of the emerging technologies and their applications to Argus services. The Head of Ontology leads the strategy, design, and implementation of semantic data models, knowledge graphs, and taxonomies to enable AI, data integration, and search capabilities. You will bring a passion for data in all its forms, a pragmatic approach to achieving demonstrable results, and the ability to adapt to different perspectives and levels of data maturity.

This executive role involves overseeing ontology governance, collaborating with stakeholders (data engineering, machine learning), and driving the adoption of industry standards (RDF, OWL) to solve complex, unstructured data challenges. Leading a small, focused team, you will collaborate with technology, data, and business functions across the company to establish a solid, interoperable data foundation for all.

What Will You Be Doing

  • Strategy & Roadmap: Define long-term (12-18 months) ontology and semantic data strategies, aligning them with business goals.
  • Ontology Development: Lead the development, maintenance, and governance of enterprise-level ontologies, taxonomies, and knowledge organization systems.
  • Leadership & Collaboration: Coordinate the efforts with editorial teams and other subject matter experts in the business to create and maintain the Argus ontology. Collaborate with AI/ML, data science, and product teams to integrate semantic insights into products.
  • Semantic Governance: Establish standards, best practices, and validation workflows (e.g., using RDF, OWL, SHACL) to ensure data quality.
  • AI Integration: Leverage ontologies to enhance LLMs (Large Language Models), knowledge graphs, and automated tools.

Skills And Experience

  • Extensive experience in data modelling, data governance, and ontology design.
  • Proven ability to successfully execute data alignment initiatives across working operational databases.
  • Proven ability to mentor, engage and collaborate with technical and non-technical teams to translate business and operational models into formal definitions and data structures.
  • Experience developing, maintaining, and expanding ontologies using W3C standards (RDF, OWL, SKOS, SHACL) to organize both structured and unstructured data.
  • A solid grounding in the data lifecycle and best practices around long-term data management, metadata, and lineage.
  • Skilled with the toolsets of semantic, graph, and relational data modelling and management, and familiar with modern data platforms.
  • Familiar with machine learning or generative AI use cases in metadata and modelling.
  • A strategic mindset with the ability to design long-term data architecture roadmaps and execute on them.
  • A passion for structure, clarity, consistency, and data quality.
  • Experience with commodity or related industries, and a curious mind.
  • Enthusiasm for emerging trends in data modelling, ontology engineering, and knowledge management.
  • Previous team management experience. Great communication skills and the ability to work with both technical and non-technical people. Leadership that empowers teams, encourages innovation, and sets high standards.
  • Databases: Experience with graph, SQL and NoSQL (e.g. Neo4j, Amazon Neptune, Stardog, GraphWise, Oracle, SQL Server, DynamoDB).
  • Data Lake: AWS Data Lake and Lake Formation.
  • Languages: Expertise in semantic modelling (OWL, RDF, SKOS, SHACL), graph and SQL dialects, relational modelling, data-oriented programming languages (e.g. python).
  • Emerging Tech: Familiarity with LLMs, RAG (Retrieval-Augmented Generation).

What’s In It For You

Our rapidly growing, award-winning business offers a dynamic environment for talented, entrepreneurial professionals to achieve results and grow their careers. Argus recognises and rewards successful performance and as an Investor in People, we promote professional development and retain a high-performing team committed to building our success.

  • Competitive salary and company bonus scheme.
  • Group healthcare and life assurance scheme.
  • Hybrid working environment (currently one day in office).
  • 25 days annual holiday with incremental increase up to 30 days.
  • Subsidised gym membership.
  • Season ticket travel loan.
  • Cycle to work scheme.
  • Flexible benefits platform (ability to buy additional medical cover, life assurance, dental cover, holiday, critical illness, travel insurance & health screening).
  • Extensive internal and external training.

Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with 1,500 staff, Argus is an independent media organisation with 30 offices in the world’s principal commodity trading hubs. Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic.

Head of Ontology employer: Argus Media

Argus is an exceptional employer that fosters a dynamic and innovative work environment, particularly for the Head of Ontology role. With a strong commitment to professional development, competitive benefits, and a collaborative culture, employees are empowered to drive meaningful results while enjoying a healthy work-life balance in a hybrid setting. Located in London, Argus offers unique opportunities to engage with cutting-edge technologies and contribute to the global energy and commodity markets.
Argus Media

Contact Detail:

Argus Media Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Head of Ontology

✨Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Prepare for interviews by researching the company and its culture. Tailor your answers to show how your experience aligns with their goals, especially around data and technology.

✨Tip Number 3

Showcase your passion for data! Bring examples of your work with ontologies or knowledge graphs to the table. Real-world applications speak volumes.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you’re serious about joining our team.

We think you need these skills to ace Head of Ontology

Ontology Development
Data Modelling
Data Governance
Semantic Data Models
Knowledge Graphs
Taxonomies
RDF
OWL
SHACL
AI Integration
Collaboration with Technical Teams
Data Quality Standards
Long-term Data Architecture Roadmaps
Graph Databases
SQL and NoSQL

Some tips for your application 🫡

Show Your Passion for Data: When writing your application, let your enthusiasm for data shine through! Share specific examples of how you've engaged with data in the past and how it fuels your work. We love candidates who are genuinely excited about the potential of data.

Tailor Your Application: Make sure to customise your application to align with our job description. Highlight your experience with ontology design, semantic data models, and any relevant technologies like RDF and OWL. This shows us you understand what we're looking for!

Be Clear and Concise: We appreciate clarity in communication, so keep your application straightforward. Use bullet points where possible to make your skills and experiences easy to digest. Remember, we want to see your qualifications without wading through unnecessary fluff!

Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.

How to prepare for a job interview at Argus Media

✨Know Your Ontologies

Make sure you brush up on your knowledge of ontologies, taxonomies, and semantic data models. Be ready to discuss how you've applied RDF, OWL, and other standards in your previous roles. This will show that you not only understand the theory but can also implement it practically.

✨Showcase Your Leadership Skills

As a Head of Ontology, you'll be leading a team and collaborating with various stakeholders. Prepare examples of how you've successfully managed teams and projects in the past. Highlight your ability to mentor others and drive collaboration between technical and non-technical teams.

✨Align with Business Goals

Understand the business goals of the company and think about how your strategies for ontology development can align with them. Be prepared to discuss how you would define long-term strategies that support the overall objectives of the organisation.

✨Stay Current with Emerging Technologies

Familiarise yourself with the latest trends in data modelling and AI integration. Be ready to discuss how emerging technologies can enhance ontology governance and data quality. Showing your enthusiasm for innovation will set you apart from other candidates.

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