VP Data Engineering

Inclusive - we succeed together Trusting - we choose to trust each other Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Role Summary defining, building, and scaling a modern, enterprise-wide data engineering capability within a federated operating model. This role will lead the design and delivery of robust, secure, and high-performing data The VP of Data Engineering will establishenabling the development of AI-ready data ecosystems, including knowledge graphs, ontologies, and semantically enriched datasets that support advanced analytics, machine learning, and AI-native applications. best-in-class engineering practices, enabling domain-oriented data ownership while ensuring consistency through shared standards, governance, and platform capabilities. A critical aspect of the role is Role Responsibilities Champion the creation and integration of knowledge graphs and ontologies to enhance data discoverability, interoperability, and contextual understanding Key Skills and Experience Proven experience leading large-scale data engineering organizations in complex, federated or matrixed environments Strong hands-on and architectural experience with Snowflake/dbt/Airflow, including performance optimization, data modelling, and cost managementExperience designing and operationalizing data governance frameworks in a federated or data mesh environment with self-service and trusted data capabilitiesPractical experience with knowledge graphs, ontologies, semantic modelling (e.g. RDF, OWL), delivering faster insightsStrong leadership, stakeholder management, and communication skills, with the ability to influence at executive level and drive organizational change.