ensure successful outcomes. Ensure that all engineering and operational activity is adheres to our IT service and operational policy, processes, and procedures.Metadata management Design, establish and operate an appropriate metadatarepository Lead continual improvement changes to metadata repositories, and setup robust governance processes to keep repositories up to date Understand a range of tools for storing and … working with metadata Advise less experienced members of the team about metadata managementOwnership You take accountability for issues that occur and be proactive in searching for potential problems. You know how to achieve excellent user outcomes and embed this into the work of your team and service.Problem resolution (data) Anticipate problems and defend against them at the right More ❯
united kingdom, united kingdom Hybrid / WFH Options
Study Abroad
to manage data-sharing agreements with global institutions. Data Stewardship Act as a liaison between departments (e.g., Enrollment, Academics, IT) to ensure data accountability. Document data flows and manage metadata repositories or dictionaries. Education & Training Train staff on data handling best practices and data protection responsibilities. Create clear documentation for data procedures and governance protocols. Technology & Tools Collaborate with More ❯
provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy Provide input into data dictionaries Define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture Skills at Working Level Communicate across disciplines : Effectively engage with both technical and non-technical stakeholders, manage team dynamics, and represent … compliance measures. Model data : Explain data modelling principles, create and maintain models, and reverse-engineer from live systems. Implement data standards : Develop standards, assess compliance, and analyze breaches. Manage metadata : Use repositories for complex tasks and maintain accurate metadata. Solve problems : Investigate issues, consult experts, implement remedies, and suggest preventive actions. Design data architecture : Translate business problems into data More ❯
Edinburgh, Midlothian, United Kingdom Hybrid / WFH Options
Snc-Lavalin
manage data architecture across SAP S/4HANA, Workday, and cloud environments.• Develop conceptual, logical, and physical data models aligned with business and regulatory requirements.• Establish data governance frameworks, metadata standards, and MDM processes.• Embed governance checkpoints within PMO methodologies and quality gates.• Lead data lifecycle management initiatives ensuring accuracy and traceability.Architect secure and scalable data integration solutions:• Design … reporting: • Design hybrid data platforms integrating structured and unstructured sources.• Define reference architectures for data lakes, warehouses, and ESG reporting.• Enable self-service analytics through governed data catalogues and metadata repositories.• Align architecture with business analytics, sustainability metrics, and regulatory reporting. Lead cross-functional collaboration and vendor management: • Lead teams of data engineers, modellers, and security analysts.• Liaise between More ❯
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 Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. As a Data Management … and dashboards to monitor and report on data health Lead end-to-end delivery of data quality initiatives, from requirements gathering to deployment and support Integrate DQ solutions with metadata repositories and data governance platforms Provide technical guidance and best practices for data profiling, cleansing, and validation Explore and apply AI-driven techniques (e.g., GenAI) to enhance data quality More ❯