2 of 2 Data Governance Jobs in Newport

Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management Solutions to minimise energy cost & increase higher returns from energy assets. We are seeking a highly skilled Lead Data & Machine Learning Architect to design and lead the development of robust data and machine learning systems. You will take ownership of the data architecture, drive the development and deployment of machine learning models, and contribute to the strategic use of data across the organisation. Key Responsibilities: Data Architecture Schema & Model Ownership: Design, implement, and maintain … logical and physical data models, primarily using PostgreSQL. Data Integration: Build and manage robust data pipelines to ingest, clean, and unify data from APIs, sensors, and other external sources, using tools like Dagster. System Design: Select appropriate storage and processing technologies tailored to system needs. Governance & Security: Define and enforce data governance policies More ❯

Overview: An established organisation is seeking an experienced Affiliate Tech Lead with expertise in Informatica Customer 360 (MDM) to lead the design, implementation, and optimisation of enterprise-level master data management solutions. The successful candidate will play a key role in driving data quality, governance, and integration across complex customer data ecosystems. Key Responsibilities: Lead the … end-to-end implementation of Informatica Customer 360 (MDM), covering data modelling, integration, and stewardship workflows. Architect and optimise customer data flows across multiple platforms to ensure consistency, accuracy, and compliance with data governance standards. Collaborate with business and technical stakeholders to define mastering rules, match/merge strategies, and data quality standards. Provide hands … on technical leadership during development, testing, and deployment phases, ensuring alignment with architectural best practices. Drive performance tuning, scalability, and optimisation efforts for high-volume customer data environments. Maintain detailed solution documentation, including data dictionaries and integration specifications. Mentor and support development and analysis teams engaged in MDM initiatives. Apply deep knowledge of MDM best practices, customer hierarchy More ❯