What you'll do:

The Ontology and Data Services Platform (Brightlayer) Director will lead the design, development, and implementation of the ontology and data services that form the foundation of our Brightlayer digital platforms. Spanning across cloud, edge and devices, this role demands a strategic thinker with deep expertise in data architecture, ontology, and data integration, combined with the technical skills to deliver robust and scalable solutions. As a key architectural and implementation leader, you will ensure that the ontology and data services align with business goals (serving in similar capacity of a product owner for this feature), integrate seamlessly with devices and products, and support the future scalability of the platform. This role requires a balance of hands-on design and leadership in driving adoption across Brightlayer and its associated services.

• Architectural Vision and Strategy: Define and communicate a forward-thinking architecture for the ontology and data services, ensuring alignment with the organisation's strategic goals and the broader technology landscape. Translate the overall architecture into functional behaviors for each element of the system spanning from cloud to devices.
• Design and Implementation: Lead the architectural design and hands-on implementation of the ontology and data services, ensuring robust, scalable, and efficient solutions that meet both current and future business needs.
• Product Data Governance and Standards: Establish and maintain governance frameworks, ensuring data quality, consistency, and compliance with industry standards, while driving the adoption of best practices across the organisation.
• Integration and Compatibility: Architect the seamless integration of data services with devices, platforms, and products, ensuring compatibility across the Brightlayer ecosystem and with external systems.
• Version Control and Evolution: Oversee the versioning and continuous evolution of the ontology, ensuring backward and forward compatibility, and that the architecture evolves to meet emerging needs and technological advances.
• Stakeholder Engagement: Collaborate with cross-functional teams, acting as a key advisor on data and ontology matters, while managing expectations and ensuring alignment between technical architecture and business objectives. Influence and drive consistent implementations across product lines that are compatible with stated guidelines and standards.
• Customer-Centric Insights: Gather and analyse customer feedback and industry standards to refine the ontology and data services, ensuring the architecture remains relevant and impactful. Develop strategies to interface or adapt the architecture to current and future data definition standards used within Industrial IoT applications such as Project Haystack or Device Twin Definition Language.
• Performance and Optimisation: Define key performance indicators (KPIs) to measure the effectiveness and efficiency of data services, identifying opportunities for optimisation and continuous improvement.
• Risk Mitigation: Proactively identify risks within the data architecture and take steps to mitigate potential issues, ensuring resilience and reliability in service delivery.

• Educational Background A Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field is required. Advanced degrees or certifications in data architecture, ontology, or data integration are highly desirable.
• 12 - 15 years of experience
• Extensive experience in data architecture, ontology design, and data integration.
• Proficiency in data modelling, semantic technologies, and knowledge representation.
• Strong understanding of data governance, data quality, and industry standards.
• Hands-on experience with data management tools, databases, and data warehousing solutions.
• Familiarity with cloud platforms and services, such as AWS, Azure, or Google Cloud.

• Strategic Thinking: Ability to define and communicate a forward-thinking architectural vision that aligns with the organisation's strategic goals and the broader technology landscape.
• Leadership and Collaboration: Proven track record of leading cross-functional teams and driving the adoption of best practices across the organisation. Strong stakeholder engagement skills to manage expectations and ensure alignment between technical architecture and business objectives.
• Problem-Solving Skills: Excellent analytical and problem-solving abilities to identify risks within the data architecture and take proactive steps to mitigate potential issues.
• Customer-Centric Approach: Ability to gather and analyse customer feedback and industry standards to refine the ontology and data services, ensuring the architecture remains relevant and impactful.
• Performance and Optimisation: Experience in defining key performance indicators (KPIs) to measure the effectiveness and efficiency of data services, identifying opportunities for optimisation and continuous improvement.
• Communication Skills: Strong verbal and written communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders.