2 of 2 Remote Master Data Management Jobs in the North West

just as passionate about helping our people get more out of life too; building careers with real growth, a sense of purpose, belonging and wellbeing. About the role The Data Management & Quality Lead is a key leadership role to support our group wide data strategy. As such, you will be responsible for transforming and improving data management practices across TVG, including both operational business domains and TVG Data & Analytics landscape; Ensuring that data governance and data quality standards are upheld and reported against. You and your team will own and run the lifecycle of data, including regular data retention treatments, and disposal, in accordance with organisational policies around PII … data treatments. You will be accountable for the data catalogue and master data model across TVG, defining the key roles to ensure metadata is regularly updated. You will also ensure data stewardship is defined and applied to ensure data is curated and profiled for search and discovery. You will define and measure data 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 ❯