2 of 2 Permanent Master Data Management Jobs in Glasgow

benefits to support your finances, wellbeing and family. Working Pattern: Permanent Full Time Flexible First options available Our vision is to become the business-led hub for all Information Management needs across SSE Renewables, delivering high-value outcomes while modernising technologies, workflows, and best practices to create a seamless user experience. By building strong relationships and understanding business requirements … and priorities, we aim to transform operations, accelerate growth, and maximise the value of data through an innovative, integrated approach. As Data Management Lead, you'll drive the implementation of robust data practices across SSE Renewables, ensuring data is accessible, trusted, and aligned with business needs. Reporting to the Data and Application Support Manager … you'll provide technical leadership across the data lifecycle-from source systems to end-user applications-and collaborate with the Data Delivery Lead and Application Support Delivery Lead to ensure seamless data flow. You'll also work closely with the Information Management Centre of Excellence to embed governance and align with organisational standards. Your expertise in More ❯

today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role Join our fast-growing & collaborative Data-Driven Financial Risk & Compliance (DFRC) team and shape the future of risk and finance! We harness cutting-edge technology, AI-powered models, and cloud-first data platforms to … transform risk management from a reactive function into a strategic powerhouse-driving growth, resilience, and competitive edge. Be part of a dynamic and inclusive team that's redefining how businesses anticipate, manage, and capitalize on risk. In this role you will have the opportunity to demonstrate the following: Data Model Development: Design, develop and maintain conceptual, logical and … physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. More ❯