Lead, mentor, and develop a team of Data Engineers, setting priorities and ensuring high-quality delivery.
Design, build, and maintain scalable OT-to-business data architectures and ingestion pipelines, supporting both real-time and batch processing.
Integrate operational technology platforms, including AVEVA PI, with ERP, maintenance, quality, and other enterprise systems.
Develop and maintain standardised, granular datasets and data models that enable operational reporting, advanced analytics, and business intelligence.
Establish and champion data governance best practices, including data quality, lineage, metadata management, and documentation.
Create reusable analytics assets, KPI frameworks, and self-service data products that empower site and corporate teams.
Partner with Operations, Asset Management, IT, and Business Leadership teams to identify opportunities, prioritise initiatives, and deliver impactful analytics solutions.
Implement monitoring, automation, and CI/CD practices to ensure reliable and efficient data workflows.
Translate complex data into clear insights, dashboards, and recommendations that support operational and strategic decision-making.

Proven experience leading data engineering, analytics, or business intelligence teams.
Strong understanding of industrial data environments and operational technology (OT) systems.
Experience working with platforms such as AVEVA PI, industrial historians, or similar manufacturing data systems.
Demonstrated expertise in building data pipelines, data models, and enterprise analytics solutions.
Strong knowledge of data governance, metadata management, data quality, and data architecture best practices.
Experience integrating manufacturing, ERP, maintenance, quality, and other business systems.
Excellent stakeholder management and communication skills, with the ability to influence at all levels of the organisation.
A proactive, problem-solving mindset with a focus on delivering tangible business outcomes.

Business Analytics Lead

Key skills