6 of 6 Data Governance Jobs in Cambridgeshire

This role requires eligibility for Security Clearance, hence we can only consider UK citizens Required skillset summary: Creation of dashboards, reports; Fusion Analytics - Fusion Data Intelligence (formerly known as Fusion Analytics Warehouse) - necessary; Oracle Analytics Cloud - OAC Data modelling; Semantic Model extensions; Job Title: Principal Engineer, CSS Delivery - Analytics Job Summary: We are seeking a highly skilled Oracle … Your extensive experience with OBIEE, ODI, BIApps, OAC, OAS, Fusion Analytics Warehouse, and OCI in general will be instrumental in driving the success of our analytics initiatives and enabling data-driven decision-making. Responsibilities: Solution Design and Development: Collaborate with cross-functional teams to understand business requirements and design end-to-end analytics solutions in OCI. Leverage your expertise … and Optimization: Build and configure OCI-based analytics solutions, ensuring alignment with best practices and industry standards. Optimize performance by fine-tuning queries, implementing caching strategies, and designing efficient data models. Data Integration and Transformation: Work closely with data engineering teams to define and implement data integration workflows using ODI and other relevant tools. Ensure seamless 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 ❯

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 ❯

People Data Analyst Salary : £33,231 - £38,770 (DOE) Based: Huntingdon or Peterborough (2 days a week in the office - Flexible working) Hours: 37 hours per week Basis: 6 month - Temporary We are seeking a skilled and detail-oriented People Data Analyst to join our well established clients People Team. This is a senior-level analyst role, and … ideal for someone with a strong background in People data analysis, will have a sound financial acumen, and excellent Excel capabilities. The successful candidate will play a key role in managing and interpreting people data to support strategic decision-making across the business. Key Responsibilities as a People Data Analyst: Manage and maintain People data with … a focus on accuracy, integrity, and compliance Identify anomalies and trends in workforce data and provide actionable insights Manipulate and analyse data using Excel and other tools to assess cost by role, department, and other metrics Support reporting needs using Workday (no need for deep proficiency, but familiarity is beneficial) Collaborate with People Team and Finance teams to More ❯

to lead their customer engagement strategy and Salesforce platform development. This is a fantastic opportunity to take ownership of CRM in a globally focused, digitally evolving organisation where customer data and insight sit at the heart of commercial and community growth. The successful candidate will shape and deliver CRM strategy, lead a small technical team, and influence internal stakeholders … insight-led approach to CRM Manage internal stakeholders and external vendors to deliver scalable improvements Deliver actionable insights, reports, and dashboards to support marketing, commercial, and service teams Ensure data compliance and GDPR adherence across systems and processes Coach and develop a team of Salesforce administrators and CRM specialists Advocate for a customer-first mindset across the organisation What … operations, ideally within a matrixed or mission-driven organisation Strong technical knowledge of Salesforce (Sales, Service, Marketing Clouds) Experience with CRM integrations, automation, analytics, and reporting Strong understanding of data governance, CRM compliance, and user training Ability to influence stakeholders at all levels, from C-suite to end users Experience managing third-party vendors and cross-functional projects More ❯

areas of Organisational Theory and Information Systems, preference will be given to candidates doing research and teaching in digital innovation, digital technology/AI, digital social innovation, digital/data governance, digital entrepreneurship, and digital health. You will be expected to contribute to teaching courses at undergraduate, graduate, and post-experience levels. However, our teaching loads are relatively More ❯