2 of 2 Data Governance Jobs in Northampton

Join us as a Data Governance Business Partner at Barclays, where you'll oversee data governance activities with a focus on data controls. You'll identify and analyze data-related issues across systems and processes, summarizing complex findings in clear, non-technical language for diverse audiences. Working closely with teams across the business, you … ll engage stakeholders at all levels to maintain and enhance data standards, improving data quality, consistency, and compliance throughout the organization. To be successful as a Data Governance Business Partner, you should have: Business Banking Journeys & Process knowledge. Data Management & Governance knowledge. Business data quality analysis and insights presentation. Stakeholder communication & collaboration skills. … Ability to convey technical concepts clearly across stakeholder groups. Additional valued skills include: Technical proficiency in SQL and data cataloging. Understanding of retail banking processes and customer journeys. Experience in change management and delivery. This role is hybrid, based in Northampton or Knutsford. Purpose of the role Enable effective data governance, risk management, and compliance, acting as More ❯

collaboration, recognition and inclusivity and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world … Key Vault), and telemetry via Application Insights or Log Analytics. KEY RESPONSIBILITIES: Have 5+ years of technical consulting or a similar chronology of demonstrable success in coding and deploying Data and AI models onto Azure environments. At least one year using Azure Fabric Create scalable and reliable data pipelines for data processing, transformation, and storage. Establish and … enforce data governance policies and be ‘hands-on’ in exploratory data analysis to identify and measure quality gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions More ❯