151 to 175 of 313 Metadata Management Jobs

development work items; Collaborate with shared services and cross-functional teams to optimize business processes using BI and legal AI capabilities; Apply Agile project management practices, including sprint planning, daily stand-ups, and retrospectives; Understand data quality initiatives, including data lineage, metadata management, and data issue remediation … Identify and document data pain points and work with developers and data engineers on innovative solutions; Support change management for new or enhanced BI solutions, including communications, training, hypercare, and adoption tracking; Drive engagement with BI tools through training, outreach, and enablement programs; Deliver demos, create user guides ...

planning, acceptance criteria. – Define and maintain KPI and metric definitions for consistency. – Set data quality rules, validation criteria, and operational checks. – Champion data stewardship, metadata, and governance best practice. – Partner with BI/analytics teams to ensure data products meet user needs. – Support UAT, data validation, and troubleshooting … work with both business stakeholders and technical teams to deliver data-driven solutions. – Experience working with Agile methodologies and delivery frameworks. – Excellent stakeholder management, communication, and facilitation skills. – Knowledge of data governance, metadata management, and data stewardship principles. Desirable Skills: – Experience with BI tools like Power ...

efficiently delivering Sellafield's decommissioning and nuclear waste objectives. About the Opportunity As a Lead Document Controller you will be responsible for strategic management, governance, and assurance of project and operational documentation within a highly regulated nuclear environment. This role ensures that all documentation processes are robust, compliant … regulatory, quality, and nuclear industry standards Ensure all documentation is compliant with governance frameworks, including nuclear safety, security, and audit requirements Oversee document lifecycle management, including numbering, revision control, metadata management, and archiving Drive the expediting and coordination of project information to support critical programme milestones ...

client is a global investment management company. The Senior ESG Data Operations Analyst is responsible for ensuring ESG investment data is accurate, timely, controlled and available to consumers across our client globally. The role supports regulatory compliance, product development and oversight, investment stewardship, marketing and distribution, and investment management … available to consumers across our client globally. The role supports regulatory compliance, product development and oversight, investment stewardship, marketing and distribution, and investment management activities by managing ESG data operations, controls and exception processes. The analyst partners with internal stakeholders, data consumers and external suppliers to resolve data quality ...

## Blue Planet Data Management LeadPostulerlocations: London: UK- Reading-Regustime type: Full timeposted on: Publié aujourd'huijob requisition id: R031020As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers … foundation for data exchange, AI training, and digital twin deployment* Develop and lead the data fabric product architecture, including federated access, streaming pipelines, virtualization, metadata management, and lineage tracking* Translate data architecture vision into scalable, cloud-native and microservices-based implementations in collaboration with engineering teams* Define ...

small core project team, you will lead the development of the programme's data improvement layer, establishing the standards, structures, policies and data management practices that support and connect all workstreams within the operating model redesign. This role is accountable for ensuring that data-related decisions made across … programme are aligned, consistent and technically robust and will provide expert guidance on data governance, data quality, data ownership, master data management and information architecture, ensuring that solutions are designed with long-term sustainability in mind beyond the life of the project. WHAT OUR DATA MANAGER WILL DO: Define ...

small core project team, you will lead the development of the programme's data improvement layer, establishing the standards, structures, policies and data management practices that support and connect all workstreams within the operating model redesign. This role is accountable for ensuring that data-related decisions made across … programme are aligned, consistent and technically robust and will provide expert guidance on data governance, data quality, data ownership, master data management and information architecture, ensuring that solutions are designed with long-term sustainability in mind beyond the life of the project. WHAT OUR DATA MANAGER WILL DO: Define ...

stakeholders to enable self-serve analytics and consumption. Good to have Experience in banking or financial services data platforms. Familiarity with data governance, metadata management, and regulatory reportingPersonalBesides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: High ...

scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence-related datasets Experience working within Defence, National Security, Government ...

including approval criteria, checklists and exception management. Drive data ownership, stewardship and accountability across business and technical teams. Lead the adoption of data catalogue, metadata, classification and lineage standards. Oversee data quality frameworks including monitoring, controls, thresholds and remediation processes. Partner with engineering, analytics, security, privacy and business stakeholders … measures to drive continuous improvement. Deliver education, coaching and communication activities that support governance adoption across the organisation. Provide governance assurance through reporting, risk management and evidence-based recommendations. Why you'll love it here: Play a pivotal role in shaping Whitbread's data governance strategy and future data ...

regulatory considerations into scalable, production-ready AI architectures. Design and implement advanced GenAI solutions, including: Retrieval-Augmented Generation (RAG) Multi-Agent Systems Knowledge Management Platforms Enterprise Workflow Automation Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption. Apply GenAI capabilities to areas such … data transformation, metadata management, customer service, risk, compliance, operations, and process automation. Collaborate with engineering, data, cloud, and business teams to ensure successful delivery and adoption. Drive solution assurance across the full software development lifecycle, including architecture reviews, testing, deployment, monitoring, and optimisation. Facilitate client workshops and present ...

controlled and available to consumers across Vanguard globally. The role supports regulatory compliance, product development and oversight, investment stewardship, marketing and distribution, and investment management activities by managing ESG data operations, controls and exception processes. The analyst partners with internal stakeholders, data consumers and external suppliers to resolve data … data, manage operational risk and continuously improve ESG data processes and services. You will join a team of specialists responsible for the operational management of ESG investment data used across Vanguard globally. The team acquires, manages, controls and distributes ESG data and calculated ESG metrics that enable regulatory compliance ...

. Implementing batch, incremental + streaming ETL/ELT workflows with reusable, production ready components. Data modelling, schema design, build data products, semantic layers, metadata management + governance. Designing + maintaining Foundry ontologies, including object types, link types, property types, and semantic relationships. Supporting Foundry Workshop apps, dashboards ...

beneficialA good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architecturesExpopsure to data governance frameworks, metadata management, and regulatory compliancIt would be a bonus if you have:Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, real-time/streaming ...

architecture covering security, governance, RBAC, data sharing, performance optimization, and multi-environment strategy.Define enterprise data platform standards and operational best practices.Guide warehouse sizing, workload management, performance tuning, and cost optimization.Design event-driven architecture using Confluent Cloud.Define topic governance, schema management, security controls, HA/DR, and cluster strategy.Establish … Infrastructure-as-Code, automation, release governance, and quality gates.Establish platform engineering practices supporting continuous delivery and automation.Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards.Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems.Collaborate with business and engineering teams ...

security, governance, RBAC, data sharing, performance optimization, and multi‐environment strategy. Define enterprise data platform standards and operational best practices. Guide warehouse sizing, workload management, performance tuning, and cost optimization. Design event‐driven architecture using Confluent Cloud. Define topic governance, schema management, security controls, HA/… Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business ...

Lakes, ETL, and Enterprise Data Platforms, along with deep knowledge of the Pharma/Life Sciences domain, particularly R&D and LIMS (Laboratory Information Management Systems). Key Responsibilities Design and maintain enterprise data architectures, data models, schemas, and integration frameworks. Develop scalable data warehouse, data lake, and cloud … based data solutions. Lead data migration, ETL/ELT, data quality, and data integration initiatives. Define and enforce data governance, metadata, security, and compliance standards. Optimize data storage, performance, and accessibility across cloud and on-premise environments. Collaborate with business and technical stakeholders to translate requirements into robust data ...

future of Asset & Wealth Management. Your expertise will empower teams to make informed decisions and deliver value to our clients. As an Asset & Wealth Management Index Data Owner, VP in the Index Product Team, you will execute critical data management activities that support strategic business and product objectives. … data delivery partners and consumers. Your leadership will help drive innovation and maintain high standards for data integrity and compliance. Job Responsibilities: Execute data management and data risk responsibilities across the entire data lifecycle Ensure responsible use, sharing, and protection of data, maintaining quality and reliability Define, describe ...

security, governance, RBAC, data sharing, performance optimization, and multi-environment strategy. Define enterprise data platform standards and operational best practices. Guide warehouse sizing, workload management, performance tuning, and cost optimization. Design event-driven architecture using Confluent Cloud. Define topic governance, schema management, security controls, HA/… Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business ...

Everything you see on screen or at an event comes via our passionate and dedicated people. Whether its engineering, broadcast, legal, logistics, security, event management, commercial, media rights, marketing, or communications there is always a talented team working to maximise the potential of the sport. Role Overview … reporting workloads. Experience with cloud-native data technologies or modern data platform tooling. Experience with Data Orchestration/ETL processes. Understanding of data governance, metadata management, data quality and data lineage practices. Awareness of AI-assisted tooling and its responsible use within data engineering and architecture. Qualifications ...

Collaborate with analytics, data science, and machine learning teams to translate business requirements into high‐quality data assets. Contribute to data governance practices, including metadata management, lineage, and discoverability. What You’ll Work On A modern sportsbook data platform built on AWS, supporting both real‐time and batch … data assets powering trading analytics, risk monitoring, and customer personalisation models. Integration with semantic layers, BI tools, and machine learning platforms. Data governance and metadata tooling to improve transparency, trust, and reuse across the organisation. Your Experience 5+ years experience in data engineering, building and maintaining scalable data platforms. ...

asset servicing capabilities. Own the development and execution of the data delivery plan, including source data assessment, data mapping, transformation requirements, validation approach, defect management, reporting readiness, and operational handoff. Partner with clients and internal teams to analyze existing data structures, reporting outputs, operational workflows, and conversion requirements. Drive … level mapping, calculation logic, timing, distribution requirements, and client sign-off. Oversee data profiling, gap analysis, field-level lineage, data quality assessment, reconciliation, exception management, and issue resolution. Define and manage data requirements for fund accounting, investor servicing, regulatory reporting, performance, alternatives administration, portfolio data, reference data, and client ...

track.Everything you see on screen or at an event comes via our passionate and dedicated people. Whether its engineering, broadcast, legal, logistics, security, event management, commercial, media rights, marketing, or communications there is always a talented team working to maximise the potential of the sport.Role Overview:We are looking … analytical or historical reporting workloads.Experience with cloud-native data technologies or modern data platform tooling.Experience with Data Orchestration/ETL processes.Understanding of data governance, metadata management, data quality and data lineage practices.Awareness of AI-assisted tooling and its responsible use within data engineering and architecture.QualificationsNot essential ...

managed to high standards across an organisation? Do you enjoy collaborating across business and technical teams to drive adoption of governance, quality, and data management best practices? About the Business At ICIS, our mission is to optimize the world's resources. We help companies make strategic, sustainable decisions … data by transforming information into actionable insights, innovative products, and AI-driven solutions. Our multidisciplinary team spans Data Analytics, Data Engineering, Data Governance & Management, and AI, working together to ensure data is trusted, accessible, and used effectively to drive better decisions, improve business performance, and unlock new opportunities. About ...

stakeholders to enable self‐serve analytics and consumption. Good to Have Experience in banking or financial services data platforms. Familiarity with data governance, metadata management, and regulatory reporting. Personal Qualities High analytical skills. A high degree of initiative and flexibility. High customer orientation. High quality awareness. Excellent verbal ...