Head of Data Platform

Experience

• Required
• Substantial leadership experience across enterprise data, data engineering, data governance, analytics or data product management in a complex organisation.
• Demonstrable delivery of enterprise-scale data platforms and operating models, ideally in energy trading, commodities or financial services.
• Experience managing critical market, trade, reference, risk, finance or regulatory data with demanding quality, timeliness and control requirements.
• Track record of building multidisciplinary teams and leading material change across technology and business functions.
• Experience of vendor and commercial management for data platforms, cloud services and market data providers.
• Strong executive-level communication, investment governance and benefits management experience.
• Technical Requirements
• Deep understanding of modern data architecture, including event streaming, Kafka, APIs, batch ingestion, lakehouse patterns, data warehousing and real-time distribution.
• Strong knowledge of data engineering practices using SQL and relevant programming languages, storage design, performance optimisation, testing, deployment and observability.
• Practical expertise in metadata management, lineage, data quality, master and reference data, ownership models, access governance and control assurance
• Understanding of analytics, reporting, machine learning and AI lifecycles, including data preparation, feature provenance, monitoring and governance.
• Knowledge of cloud and hybrid architecture, cybersecurity, privacy, resilience, cost management and enterprise integration.
• Person Specification
• Enterprise thinker who treats data as a product and a controlled asset, not simply a technology platform.
• Able to challenge local optimisation and drive reuse, standardisation and clear ownership across organisational boundaries.
• Commercially aware, evidence-led and comfortable making investment and prioritisation decisions.
• Strong communicator who can translate between executives, data specialists, engineers and control functions.
• Collaborative across business domains and able to create shared ownership of data outcomes.
• Inclusive leader who develops talent and builds a culture of quality and accountability.
• Hours of Work:
• 30am – 5.30pm / 40 hours per week, Monday to Friday