Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the strategy and implementation of semantic data models and knowledge graphs.
- Company: Join Argus, a leading independent provider of market intelligence in the energy sector.
- Benefits: Enjoy competitive salary, hybrid work, and extensive professional development opportunities.
- Other info: Dynamic environment with a focus on innovation and career growth.
- Why this job: Make a real impact by shaping data strategies and enhancing AI capabilities.
- Qualifications: Extensive experience in data modelling and ontology design 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 in London employer: Argus Media
Contact Detail:
Argus Media Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Ontology in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or conferences related to ontology and data management. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with ontologies, taxonomies, and knowledge graphs. This could be a personal website or a GitHub repository. Having tangible examples of your expertise can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s projects and values. Understand how they use semantic data models and be ready to discuss how your experience aligns with their goals. Tailoring your responses to their specific needs can make a huge difference.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it gives you a chance to showcase your enthusiasm for the role and the company right from the start.
We think you need these skills to ace Head of Ontology in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with ontology design and data governance. We want to see how your skills align with our needs, so don’t hold back on showcasing your relevant achievements!
Show Your Passion for Data: In your application, let us know why you’re passionate about data and emerging technologies. Share any personal projects or experiences that demonstrate your enthusiasm for semantic data models and AI integration.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and how it relates to the role. We appreciate clarity and want to understand your journey without sifting through fluff!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your details!
How to prepare for a job interview at Argus Media
✨Know Your Ontologies
Make sure you brush up on your knowledge of RDF, OWL, and other relevant standards. Be prepared to discuss how you've applied these in past projects, as well as your approach to ontology governance and development.
✨Showcase Your Leadership Skills
As a Head of Ontology, you'll be leading a team. Think of examples where you've successfully mentored or collaborated with both technical and non-technical teams. Highlight your ability to empower others and drive innovation.
✨Align with Business Goals
Understand the company's business objectives and be ready to explain how your strategies for semantic data models can support these goals. This shows that you're not just focused on the tech side but also on delivering real business value.
✨Prepare for Technical Questions
Expect to dive deep into your experience with data modelling and management tools. Brush up on your knowledge of graph databases and data lifecycle best practices, as well as any machine learning applications you've worked with.