Own the data strategy end-to-end: from standards and governance to advanced analytics that power day-to-day operations.In this role, you will make sure the right data exists, is trusted, and is actually used, then push into predictive and optimisation use cases.Client DetailsA well-established entity in the industrial/manufacturing industry, recognised for its innovative approach and expertise.Description* Set the strategy: Define the analytics roadmap and data standards for an enterprise manufacturing environment. * Build the backbone: Integrate operational and asset data into centralised platforms for real-time visibility and control. * Predict & prevent: Develop and scale models for reliability, lifecycle, and throughput optimisation. * Make it usable: Align instrumentation and data collection to business outcomes; ship dashboards/alerts people rely on. * Raise the bar: Drive data quality, consistency, security, and access across systems and teams. * Change the culture: Champion digital tools and ways of working so insights become part of everyday decisions.Job Offer* Work with modern tooling and a genuinely collaborative, delivery-focused team. * Competitive package and benefits.
* Bachelor's in Data/Engineering/Computer Science (or similar). * 5-7 years hands-on analytics with industrial/domain-specific platforms. * Proven leadership of cross-functional data projects in complex environments. * Strong Python/R/SQL and experience with predictive analytics/ML ops in production. * Clear communicator who can translate technical detail into business impact. * Solid grasp of data governance, security, and relevant regulatory standards.
