23 of 23 Permanent Metadata Management Jobs in the South East

to the implementation of data administration processes. As data analyst you will also support data quality initiatives to automate data quality checks and drive continuous improvement to enhance data management skills and improve data quality skills to learn to conduct data profiling, and resolve data discrepancies to ensure data accuracy and consistency. As data analyst you will gain expertise … in metadata management, data governance policies, and procedures, ensuring compliance and data accountability. Key Responsibilities Data Administration: Administer and maintain master data and other critical datasets (e.g., customer, vendor, material, finance in SAP ECC and other enterprise systems). Ensure data consistency and lifecycle management across SAP modules and related systems. Support data cleansing, enrichment, and harmonization … design and implementation of SAP MDG for centralized master data governance. Collaborate with SAP functional teams to align data structures with evolving business processes. Data Governance & Stewardship Support: Support metadata management, enrichment and cataloging activities Collaborate with business units to: define data ownership, stewardship, and maintenance processes. Monitor and resolve data discrepancies, duplication, and integrity issues. Contribute to More ❯

challenge of making their diverse data platforms deliver meaningful business value. You will help them achieve that by providing advisory and assurance services across a range of modern data management technologies, including Data Vault 2.0 architectures, Snowflake, Azure, AWS, Google BigQuery, and Databricks. Reporting to the Data and AI Consulting Manager, you will combine consulting experience, technical proficiency, and … Delivery Design, validate, and optimise Data Vault 2.0 architectures across Snowflake, Databricks, and BigQuery environments. Provide best-practice guidance on dbt modelling, testing frameworks, and macros. Define governance and metadata standards (naming, access, lineage, compliance) suited to regulated industries like higher education and retail. Recommend orchestration and deployment strategies using Azure Data Factory, AWS Glue, or similar tools, with … modern data orchestration tools (ADF, AWS Glue, Google Dataflow, or similar). Experience with BI and analytics platforms (Power BI, Tableau, Looker). Solid grasp of data governance and metadata management practices, including regulatory compliance (GDPR, PCI, etc.). Strong consulting, stakeholder management, and communication skills. Desirable Experience with at least two major cloud data platforms (Azure More ❯

are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In … and ensure the long-term success of projects. Key Responsibilities Primary technical point of contact across strategic accounts Lifecycle engagement & adoption acceleration from presales to delivery Technical health & risk management Strategic planning and stakeholder management across sales, product management and engineering teams Sales enablement & growth support Deep and wide technical and science senior relationships Strategic Technical Partnership … Deeply understand Customer scientific data and AI architecture & goals Provide proactive, prescriptive technical guidance Act as a trusted advisor aligned to Customer outcomes Lifecycle Engagement & Risk Management Drive adoption & success plan execution Conduct regular technical reviews Identify risks & recommend optimizations Sales Support & Escalation Management Lead technical strategy for expansions Support POCs & co-innovation Manage resolution for escalated issues More ❯

Data Management Consultant Location: London Salary : Competitive salary package depending on experience Career Level: Consultant/Specialist, Associate Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply … communities in which we work and live. It is personal to all of us.” –? Julie Sweet, Accenture CEO As a team: We have an exciting opportunity for a Data Management Consultant to join our Data & AI Practice. As a Data Management Consultant, you will be responsible for designing and implementing Master Data Management (MDM) solutions that support … business and technical stakeholders to ensure that MDM strategies align with organizational goals and deliver measurable value. We deliver scalable, business critical solutions for our clients in the Data Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data More ❯

Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering, or database administration . Experience with metadata management and master data management (MDM) tools. Understanding of … this role, you are giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Management | Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka | Governance | Data Quality | Cloud Data Platforms More ❯

ASSISTANT VP DATA GOVERNANCE Permanent position - Hybrid with 4 working days on site.You must have banking experience and do not require sponsorship.Reporting to the data process management team.The role is to support UK operations in delivering data governance. The main responsibilities include the management of metadata, data lineage, data protection, data quality, data standards, and their policy … and monitoring their implementation to ensure all data standards are complied with and to achieve high data quality; to act as the 2LOD role for IT risks including Data Management Risk, Information Security Risk (including Cyber) and Technology Risk, be responsible for defining the relevant key controls, overseeing and challenging the effectiveness of control measures.Responsibilities: Develop Data Protection and … to the data governance program. Support all departments and business lines in making recommended changes, including helping to resolve any data related issues. Assist with various reports required by management, auditors or regulators. Carry out any ad hoc tasks assigned by the Head of Data and Process Management Office Participating in the lifecycle management of data, including More ❯

to meet the highest safety standards, and we pride ourselves on our ability to adapt to the constantly evolving aviation environment. The Role The Head of Information and Data Management is a senior IT Leader who bears responsibility for the CAA's enterprise-wide data and information strategy, governance, control, policy development, and effective exploitation. Core Accountabilities Work with … the CEO, the CIO and other ExCo members to establish vision, and to create a culture that treats data as a cross-corporate asset and evangelise for the effective management and exploitation of data. Lead the Information management team Lead the progression of the CAA's Data Strategy Be the corporate leader of data insights that help drive … for a data-driven, decision-making culture. Develop and maintain controls on data quality, interoperability and sources to effectively manage corporate risk. Define, manage, and control master data and metadata management policies, controls, and standards, including reference data. Manage controls for the appropriate protection of enterprise information assets through a defined life cycle from acquisition or creation to More ❯

and reliability. What You Bring Essential Skills Java Development: 3–5 years of hands-on experience in Java development, particularly in data-intensive environments and building data products. Database Management: Background in managing both SQL and NoSQL databases. Version Control & CI/CD: Knowledge of version control (Git) and CI/CD practices for data pipeline deployment and Exposure … workflow/orchestration tools (e.g., Airflow, Dagster, Prefect). Cloud-based Data Services: Exposure to cloud-based data services (GCP preferred; AWS/Azure also considered). Data Lineage & Metadata Management: Understanding of best practices. Data Governance & Compliance: Awareness of data governance and compliance principles (GDPR, ISO27001). SaaS/API-driven Environments: Background in SaaS/API More ❯

and CI/CD for data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based and operates on More ❯

policies. Qualifications & Experience • Working knowledge of data architecture and implementation of governed data solutions using Microsoft Purview, Azure, Databricks, Python, DevOps, Unity Catalogue, Data Factory, and RDBMSs. Experience with metadata management, lineage tracking, and automation tools for governance workflows. • Experience in designing and maintaining end-to-end data architectures, including OLTP and OLAP models, ETL pipelines, data lakes … orchestration frameworks, and reporting platforms. Exposure to CI/CD pipelines and monitoring practices in data engineering. • Ability to apply best practices in data lifecycle management, covering ingestion, transformation, reporting, archival, and decommissioning. Familiarity with data quality frameworks and secure data handling protocols. • Good understanding or strong interest in supporting data governance programs using frameworks like DAMA DMBOK and … internal governance strategies. Experience implementing governance controls in regulated sectors such as banking, reinsurance, or insurance. • Ability to ensure secure data management by applying information security principles and working with relevant technology stacks, including data encryption and key vault management. Strong understanding of data privacy regulations and international standards. • Ability to collaborate on audit and risk management efforts More ❯

design authority, providing architectural assurance across data and AI domains within the programme Lead integration and interoperability strategy between enterprise platforms (e.g., ServiceNow, Microsoft Fabric, Azure) Drive adoption of metadata management, lineage, and governance tooling, such as Microsoft Purview Align architecture with operational use cases to deliver measurable improvements in service delivery and analytics Requirements Essential: Proven experience … Microsoft Fabric and/or Databricks in operational or data platforms Demonstrated ability to integrate AI components (e.g., ML pipelines, predictive analytics) into production environments Familiarity with enterprise service management tooling, particularly ServiceNow In‐depth knowledge of metadata, lineage, governance, and data security frameworks Strong communication and stakeholder engagement skills across technical and non‐technical audiences Desirable: Experience More ❯

Data Modelling Consultant Location: London (3 days per week onsite) Salary: £50,000 - £65,000 + benefits The Company Join a global management consultancy known for delivering large-scale data and digital transformation projects across financial services, capital markets, and energy. You will be part of a collaborative, fast-growing Data Architecture practice that helps some of the world … frameworks and solutions that support analytics, BI, and machine learning initiatives. You will collaborate closely with senior data architects and engineers to create logical and physical data models, define metadata standards, and support end-to-end data migration and integration projects. Key Responsibilities Develop and maintain conceptual, logical, and physical data models Work with stakeholders to gather and interpret … data requirements Support metadata management, documentation, and governance activities Contribute to ETL design and data movement between systems Gain hands-on experience with modelling tools such as ERWin, Sparx, or RSA Your Skills and Experience 2-4 years of experience in data modelling or data architecture Exposure to relational and dimensional modelling (3NF, star, snowflake) Strong SQL and More ❯

and AI to support proactive and informed decision making. • Promote data product thinking by designing reusable, modular data assets that serve cross functional business needs and accelerate delivery. • Drive metadata management and data lineage practices to improve data discoverability, trust and compliance. • Tailor analytical approaches to the care sector's specific needs, including safeguarding, compliance, operational efficiency and More ❯

Data Platform Operations : Managing production ETL/ELT pipelines and data orchestration frameworks. Ensuring data platform security, compliance, and access controls. Implementing and governing data quality, lineage, observability, and metadata management. Ensuring the sustainability and scalability of our data infrastructure and that it enables the company to achieve its business objectives Data Platform Optimization: Ensuring that the team is More ❯

data. Influence and inspire stakeholders at all levels, both technical and non-technical, to embed data quality into every initiative. What You'll Bring Proven experience in Data Quality Management and enterprise tooling (MS Purview). Strong understanding of data governance frameworks, metadata management, and master data principles. Ability to identify data issues, perform root cause analysis More ❯

data. Influence and inspire stakeholders at all levels, both technical and non-technical, to embed data quality into every initiative. What You'll Bring Proven experience in Data Quality Management and enterprise tooling (MS Purview). Strong understanding of data governance frameworks, metadata management, and master data principles. Ability to identify data issues, perform root cause analysis More ❯

transaction data accuracy and timeliness. Partner with Technology, Ops, and Legal to implement standards for vendor compliance (e.g., POS Vendor Standards). Drive adherence to data governance frameworks, including metadata management, lineage, and SLA expectations. Business Partnership & Enablement Act as the primary data partner to regional CFOs, CMOs, COOs, and Digital Officers. Support commercial, marketing, and operations teams … technical and non-technical stakeholders. Knowledge and Expertise Strategic thinker with strong commercial and product acumen. Deep understanding of data engineering, BI, and analytics delivery models. Skilled at stakeholder management, influence without authority, and change leadership. Strong knowledge of franchise business models and market dynamics across Europe. Skills Operates with a one-team mentality-balancing global standards with local More ❯

with business stakeholders, data architects, and domain experts to translate requirements into scalable data solutions, ensuring alignment with governance and best practices. The position involves analysing data flows, embedding metadata management, and supporting both structured and semi-structured data, including JSON and XML. Proficiency with Sparx Enterprise Architect, Erwin, PowerDesigner, or Visual Paradigm is key, alongside familiarity with More ❯

SharePoint automation techniques for the Automation of new SharePoint instances. REST APIs and Microsoft Graph. Knowledge of Azure AD integration, permissions, and authentication models. Understanding of information governance, document management, and metadata design. Experience with Agile and DevOps delivery practices. Ability to produce clear documentation, including technical designs and release notes. It would be great if you had More ❯

Key Responsibilities Design, build and maintain data pipelines from multiple structured and unstructured sources Cleanse, organise and model data for advanced analytics and reporting Develop data glossaries and manage metadata for internal and client-facing use Implement and administer knowledge frameworks to connect and enrich data assets Build dashboards and reports to surface insights for business and client stakeholders … Collaborate with cross-functional teams to deliver scalable, data-driven solutions Requirements Hands-on experience with data engineering and analytics tools Strong understanding of data management, modelling, and integration practices Experience with APIs and connectors for data sourcing Analytical mindset with attention to detail and problem-solving ability Comfortable working in a collaborative, high-growth environment Prior exposure to More ❯

Salesforce Comms Cloud and Lightning implementations. Engineering and Automation Design and optimize CI/CD pipelines for diverse platforms, incorporating tools like Jenkins, GitLab CI, and Gearset for Salesforce metadata deployments. Implement Infrastructure as Code using Terraform, Ansible, and Helm. Automate environment provisioning and application deployment across cloud and on-premise systems. Lead Salesforce-specific automation strategies including sandbox … seeding, scratch org management, and metadata rollback. Security and Compliance Integrate security controls into CI/CD pipelines, including Salesforce-specific checks for Apex code, Lightning components, and metadata. Conduct technical risk assessments and support audits across platforms. Ensure compliance with Salesforce security standards (e.g., permission sets, field-level security, data classification). Operations and Reliability Lead incident … response and post-incident reviews to improve platform resilience. Define and manage service monitoring, alerting, and error budgets. Champion secure change management practices across all environments, including Salesforce deployments. Collaboration and Stakeholder Engagement Collaborate with software engineering, IT operations, and security teams to deliver robust technical solutions. Partner with Salesforce developers, admins, and architects to align DevOps practices with More ❯

Salesforce Comms Cloud and Lightning implementations. Engineering and Automation Design and optimize CI/CD pipelines for diverse platforms, incorporating tools like Jenkins, GitLab CI, and Gearset for Salesforce metadata deployments. Implement Infrastructure as Code using Terraform, Ansible, and Helm. Automate environment provisioning and application deployment across cloud and on-premise systems. Lead Salesforce-specific automation strategies including sandbox … seeding, scratch org management, and metadata rollback. Security and Compliance Integrate security controls into CI/CD pipelines, including Salesforce-specific checks for Apex code, Lightning components, and metadata. Conduct technical risk assessments and support audits across platforms. Ensure compliance with Salesforce security standards (e.g., permission sets, field-level security, data classification). Operations and Reliability Lead incident … response and post-incident reviews to improve platform resilience. Define and manage service monitoring, alerting, and error budgets. Champion secure change management practices across all environments, including Salesforce deployments. Collaboration and Stakeholder Engagement Collaborate with software engineering, IT operations, and security teams to deliver robust technical solutions. Partner with Salesforce developers, admins, and architects to align DevOps practices with More ❯

service contract retention by combining data-driven insights with operational execution. A core part of this role is ownership of the customer ticketing system, ensuring timely resolution and accurate metadata logging for actionable insights for product and quality teams. The role also bridges customer feedback with commercial, engineering, and software teams, ensuring issues are resolved effectively and future improvements … Own and manage the customer ticketing system end-to-end, that includes expediting ticket closing by chasing relevant teams and ensuring clear ownership and accountability. Ensure accurate and consistent metadata is logged for every ticket to provide actionable insights to quality and product teams. Generate reports on ticket trends, escalations, and recurring issues to inform product enhancements and service … or similar). Prior experience in automation and integrating multiple software platforms (ticketing, CRM, ERP, reporting tools) or similar. Track record of analyzing customer data and generating actionable insights. Management of internal systems to log reports, repairs, and other hardware-related issues. Experience in customer segmentation, NPS analysis, or service contract structuring. Excellent communication skills, with the ability to More ❯