51 to 75 of 217 Permanent Metadata Management Jobs

digital and data transformations across both public and private sectors. They're currently growing their Data Strategy team and are looking for an experienced consultant specialising in Enterprise Data Management to support the design, leadership, and implementation of large-scale data strategy initiatives. This opportunity is ideal for professionals with a deep understanding of data governance, data quality, metadata management, and AI integration who are ready to play a hands-on, strategic role within complex client environments. The Organisation Our client is a household name in the consulting world renowned for their end-to-end digital transformation capability. They work with global enterprises and government bodies to solve pressing business challenges by blending data, technology, and human … You'll lead engagements that focus on enabling intelligent, secure, and ethical use of data across complex organisations. Key Responsibilities: Provide strategic guidance on data governance frameworks, master data management (MDM), metadata strategy, and data ethics policy development. Lead client engagements across data architecture, data quality, taxonomy, and standards implementation often acting as the bridge between technical teams More ❯

. Uphold data integrity, security, and quality across systems. Define and advocate for best practices in data modelling standards and methodologies. Support data governance, data lineage, and master data management (MDM) initiatives. Conduct data profiling and remediate data quality issues proactively. Skills & Experience Proven experience in conceptual, logical, and physical data modelling in enterprise environments. Proficient in data modelling … tools, especially ERWIN , with a strong command of ER diagram development. Skilled in requirements gathering, analysis, and documentation for engineering implementation. Familiarity with data governance frameworks, metadata management, and data quality best practices. Strong communication and stakeholder management skills, able to work across technical and non-technical teams. Hands-on experience with Databricks . Analytical thinker with More ❯

solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to … complex agile consulting projects supporting our clients with data architecture design and delivery. You will work with technology leaders across Financial Services to provide best practice guidance for data management and data architecture development and optimization. You will build a set of services and capabilities that support Capco's vision of Modern Data Architecture and our clients' data journeys … and Data Lake design. Experience designing and implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding More ❯

and propose optimized solutions. Collaborate with technical teams to ensure that any changes align with system capabilities and scalability needs, especially in areas like manuscript submission, peer review, and metadata management. Customer Communication & Expectations Management: Serve as the key point of contact for customers regarding change requests, ensuring continuous communication throughout the process. Set clear expectations with customers … Analyst, preferably in the scholarly academic publishing industry. Proven track record of managing customer-facing change requests and translating those into actionable requirements. Experience working with publishing systems , content management platforms , and workflow automation is highly desirable. Skills & Competencies: Strong customer-facing skills, with the ability to effectively communicate with non-technical users and technical teams. Ability to manage … mapping. PREFERRED QUALIFICATIONS Certifications: Certified Business Analysis Professional (CBAP), Agile Certified Practitioner (ACP), or other related certifications. Domain Knowledge: Previous experience in academic publishing , specifically in editorial workflows, manuscript management, or content submission systems. Software/Tools Knowledge: Familiarity with content management systems, manuscript submission platforms, and data visualization tools (e.g., Tableau , Power BI ). KEY TRAIS WE More ❯

analysis, and knowledge graphs. - Optimize performance of graph queries and design for scalability. - Support ingestion of large-scale datasets using Apache Beam, Spark, or Kafka into GCP environments. - Implement metadata management, security, and data governance using Data Catalog and IAM. - Work across functional teams and clients in diverse EMEA time zones and project settings. Required Qualifications Bachelor's More ❯

and on-prem systems. Lead the development of data models , lineage , and governance frameworks that ensure data trust, accuracy, and traceability. Define architecture standards for data integration , master data management , and metadata strategy . Support key programmes like ITSM (ServiceNow) and back-office platform migrations , ensuring the right data gets to the right place at the right time. More ❯

organisational skills and attention to detail. Preferred Qualifications Microsoft Azure Data Engineer certification. Experience with Azure Synapse Analytics and Power BI. Familiarity with data governance, data quality frameworks, and metadata management. Key Behaviours & Competencies Personal Drive – Resilient and committed to achieving goals through persistent effort. Innovation – Generates new ideas and solutions through original thinking. Results Focus – Aligns team efforts … team dynamics and contributes to collective success. Decision Making – Makes sound judgments and decisions at the right pace. Relationship Building – Develops and maintains strong internal and external networks. Performance Management – Sets and reviews performance goals aligned with business strategy. Integrity – Demonstrates ethical behaviour and lives the organisation’s values. More ❯

organisational skills and attention to detail. Preferred Qualifications Microsoft Azure Data Engineer certification. Experience with Azure Synapse Analytics and Power BI. Familiarity with data governance, data quality frameworks, and metadata management. Key Behaviours & Competencies Personal Drive - Resilient and committed to achieving goals through persistent effort. Innovation - Generates new ideas and solutions through original thinking. Results Focus - Aligns team efforts … team dynamics and contributes to collective success. Decision Making - Makes sound judgments and decisions at the right pace. Relationship Building - Develops and maintains strong internal and external networks. Performance Management - Sets and reviews performance goals aligned with business strategy. Integrity - Demonstrates ethical behaviour and lives the organisation's values. More ❯

high-quality conceptual, logical, and physical data models that empower business insights and drive data excellence across the organisation. Your work will support data governance, lineage, and master data management initiatives, ensuring data integrity and alignment with business needs. You will collaborate with architects, analysts, engineers, and data scientists to deliver industry-leading digital technology that enhances customer and … within data models. Develop and enforce data modelling standards and best practices. Validate and reconcile data models to guarantee accuracy and completeness. Support data governance, lineage, and master data management efforts. Profile data to identify and address quality issues. Collaborate closely with data architects and cross-functional teams to deliver aligned data solutions. Key Skills & Experience: Proven expertise in … creating and maintaining complex data models. Strong experience with data modelling tools and techniques. Experience working with Microsoft Azure and Databricks Solid understanding of database management systems and effective database solution design. Knowledge of data governance, data quality, and metadata management. Ability to translate business requirements into clear data models. Excellent communication and collaboration skills. Logical and analytical More ❯

architectures on AWS to meet DoD requirements. This includes designing solutions for data processing pipelines, particularly relevant for M&S involving large datasets, including radio frequency (RF) data. • Data Management and Analytics: Designing and implementing data management solutions for various data types, including relational, document, key/value, graph, and object stores. This involves designing and implementing data … knowledge of AWS services, including data technologies such as RDS, DynamoDB, S3, and Glue ETL. Experience with services relevant to networking, security, and cloud-native patterns is crucial. • Data Management: Experience with data management solutions encompassing data quality, reference data management, and metadata management. • Programming and Scripting: Proficiency in languages like Python or Scala and strong … Clearance: A current, active US Government security clearance is often a requirement, frequently at the Top Secret or above level. • Domain Expertise: Understanding of military operations, M&S project management, and relevant international standards and protocols is beneficial. More ❯

improve problem solving Collaborate, test, and assist others in development and use of geospatial standards. Responsible for progressing and maintaining official description of enterprise datasets Support the capture and management of metadata and information sources from across the enterprise, including data sets, business intelligence reports, visualizations, and conversations. Work with GEOINT standards Data Modeling languages to support the … life cycle management of evolving data standards supporting AGENCY and NSG initiatives and acquisition programs. Applying naming standards, and metadata standards, checks models in and out of Model Repository, and documents data model translation decisions Support updating and managing MySQL, MS-ACCESS structures (Table, Columns) and content Experience in the use of existing OGC standards and industry best … practices related visualization, features, spatiotemporal data, metadata catalogs, and coordinate reference systems. Working knowledge of the following software language, GitLab or GitHub, HTTP REST API's, XML and JSON. Working knowledge of a logical query expression such as SQL, XML or JSON filters Skills and Experience: Required Skills and Tasks: Active TS/SCI clearance Experienced technical writer Working More ❯

and analytics. Define and implement data operating models, target architectures, and transformation roadmaps. Establish data governance frameworks (e.g., DAMA, DCAM) and define stewardship roles and KPIs. Support deployment of metadata management, data lineage, and cataloging tools across platforms. Your Profile: 15+ years of experience in data advisory, data strategy, or data management roles. 8-10 years of … models, regulatory landscape, and data challenges. Proven track record of delivering data transformation programs in complex environments. Strong knowledge of data governance, data architecture, and analytics platforms. Excellent stakeholder management, communication, and presentation skills. Experience working in or with consulting firms, Big 4, or boutique advisory practices. More ❯

and analytics. Define and implement data operating models, target architectures, and transformation roadmaps. Establish data governance frameworks (e.g., DAMA, DCAM) and define stewardship roles and KPIs. Support deployment of metadata management, data lineage, and cataloging tools across platforms. Your Profile: 15+ years of experience in data advisory, data strategy, or data management roles. 8-10 years of … models, regulatory landscape, and data challenges. Proven track record of delivering data transformation programs in complex environments. Strong knowledge of data governance, data architecture, and analytics platforms. Excellent stakeholder management, communication, and presentation skills. Experience working in or with consulting firms, Big 4, or boutique advisory practices. More ❯

models to ensure accuracy and alignment with business requirements. Collaborate with data architects and stakeholders to deliver scalable, future-proof data solutions. Support data governance, lineage, and master data management (MDM) initiatives. Conduct data profiling to identify and address data quality issues. Key Skills & Experience Proven expertise in developing and managing complex data models. Strong knowledge of data modelling … tools, techniques, and database management systems. Experience designing and implementing robust database solutions. Familiarity with data governance, metadata management, and data quality frameworks. Ability to translate business requirements into effective data models. Excellent communication and stakeholder engagement skills. Strong analytical mindset with a structured, problem-solving approach. Hands-on experience with Microsoft Azure and Databricks is essential. More ❯

architectures, and provide assurance across all stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance. You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies (e.g. NHS England … AI solutions that span data integration, analytics, AI/ML and interoperability. Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices. Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals. Advising clients on product and technology selection … tools and techniques that improve the quality and impact of our Data and AI proposals and delivered solutions. Promoting a culture of experimentation and improvement within the team. People management Leading, motivating and empowering individuals within the Data and AI practice, creating a positive, high-performing culture where people can grow. Mandatory requirements: Experience working as a Data or More ❯

using Sparx EA or relevant tools. Responsible for detailed solution designing with defined principles and standards of the project in line with customer’s business requirement. Working on Data Management and end-to-end Data Architecture (extraction, ingestion, integration, transformation, virtualisation, visualisation, BI & analytics, MDM) and Data Governance (Lineage, Meta Data Management & Data Catalogs, Data Quality) activities. Supervising … and design architectural models and database structures using tools like Sparx EA. Designed detailed solutions aligned with project standards and customer requirements, ensuring architectural consistency. Led data architecture and management activities across the full data lifecycle, including governance aspects like metadata, lineage, and data quality. Provided technical guidance to team members for enhancements and production support, ensuring high More ❯

and clean data layers that empower teams across the organization to make informed, data-driven decisions. This is a hands-on role that blends engineering excellence with product thinking, metadata management, and a passion for enabling self-service analytics and data literacy across the business. Key Responsibilities: Build & Maintain Scalable Data Warehousing Solutions: Design, build, and maintain robust … data products Implement best practices around versioning, SLAs, data contracts, and quality validation Own the end-to-end lifecycle of key datasets, including documentation, testing, monitoring, and maintenance Use metadata, lineage, and usage metrics to ensure data products are trustworthy, discoverable, and valuable Enable Data Democratization & Self-Service: Build intuitive, well-structured data models to empower BI tools (e.g. … in SQL and Python for data processing and automation Experience working with data modeling tools and practices (e.g., dimensional, star/snowflake schema, dbt) Solid understanding of data governance, metadata, and quality frameworks Strong collaboration and communication skills, with the ability to work cross-functionally in an Agile environment Exposure to data product management principles (SLAs, contracts, ownership More ❯

end development and support of AI models for multiple functional domains, ensuring advanced scalability, reusability, and alignment with organizational goals. Oversee the integration, maintenance, and sharing of model-specific metadata-such as training datasets, deployment dates, and usage guidelines-promoting robust governance and transparency. Perform and guide model retraining, performance monitoring, and updates for complex production models (e.g., time … state-of-the-art algorithms-including foundational language models, object detection/classification, and time series analysis-to tackle advanced enterprise challenges. Ensure strict adherence to enterprise standards for metadata management, governance, and security, integrating policy-as-code and compliance checks into the model lifecycle. Architect and refine APIs for model inference, enabling seamless deployment and integration with … large-scale enterprise applications. Provide technical leadership in model lifecycle management, including versioning, monitoring, and auditing, ensuring all models adhere to best practices and regulatory requirements. Enhance and maintain automation pipelines for model training, testing, and deployment, leveraging CI/CD principles to improve efficiency and reliability. Conduct thorough performance benchmarking and optimization for deployed models in production, incorporating More ❯

Principal Activities of role: Data Pipeline Development: • Design, develop, and maintain ETL processes to efficiently ingest data from various sources into data warehouses or data lakes. • Data Integration and Management: Integrate data from disparate sources, ensuring data quality, consistency, and security across systems. Implement data governance practices and manage metadata. • System Architecture: Design robust, scalable, and high-performance data More ❯

Principal Activities of role: Data Pipeline Development: • Design, develop, and maintain ETL processes to efficiently ingest data from various sources into data warehouses or data lakes. • Data Integration and Management: Integrate data from disparate sources, ensuring data quality, consistency, and security across systems. Implement data governance practices and manage metadata. • System Architecture: Design robust, scalable, and high-performance data More ❯

hit our SLAs. Creating helpful scripts, tools, and knowledge bases for common issues. Bonus Points: Experience with API tools like Postman and scripting in PowerShell. Knowledge of ITIL, incident management, and tools like HubSpot Service Tool. Comfortable working in Agile or hybrid delivery setups. Any exposure to Microsoft Fabric is a plus. Leading the Team You’ll also lead More ❯

SAS, leading and analyzing information through diverse techniques. This role requires collaboration with business owners and technical teams to ensure compliance with USAA policies and relevant regulations. Responsibilities include metadata management for transparency, data quality assurance for reliability, retention management for appropriate handling, and data security to protect sensitive information. We offer a flexible work environment that … and tools based on business needs. Maintains Information Asset Inventories. Ensures data and assets are classified appropriately. Supports delivery of information in accordance with Information Governance standards and data management practices through documentation, teamwork, and execution of defined processes. Maintains metadata repository and accurate metadata association. Reviews, validates, and records metadata and data quality information. Develop … data and analytics or technical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 4 years of experience in an information management practice, business application function, or data delivery; OR If Advanced degree in a Business or Science subject area, 2 years of experience in data and analytics, technical, or business More ❯

SAS, leading and analyzing information through diverse techniques. This role requires collaboration with business owners and technical teams to ensure compliance with USAA policies and relevant regulations. Responsibilities include metadata management for transparency, data quality assurance for reliability, retention management for appropriate handling, and data security to protect sensitive information. We offer a flexible work environment that … and tools based on business needs. Maintains Information Asset Inventories. Ensures data and assets are classified appropriately. Supports delivery of information in accordance with Information Governance standards and data management practices through documentation, teamwork, and execution of defined processes. Maintains metadata repository and accurate metadata association. Reviews, validates, and records metadata and data quality information. Develop … data and analytics or technical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 4 years of experience in an information management practice, business application function, or data delivery; OR If Advanced degree in a Business or Science subject area, 2 years of experience in data and analytics, technical, or business More ❯

experts. You will create and maintain a comprehensive delivery roadmap that balances short-term enhancements with long-term innovative goals. Working in close partnership with Engineering, Data, and Product Management teams, you'll drive initiatives that modernize the dataset, improve delivery mechanisms, and support advanced analytical capabilities across platforms. We'll trust you to: Own the end-to-end … leading across Product, Engineering, and Data teams. Experience navigating ambiguity and delivering structure to complex, evolving domains. We'd love to see: Experience with data governance, quality frameworks, and metadata management. Understanding of third-party entity data providers and integration strategies. Experience with modern data infrastructure and architecture, including APIs, data pipelines, or LLM-based enrichment solutions. Awareness of More ❯

and technical stakeholders to ensure alignment and accountability for data governance objectives. - Provide training and resources to data owners and end-users, promoting a culture of responsible data use. Metadata Management & Data Catalogue - Oversee the creation and management of a data catalogue, ensuring that data assets are documented, classified, and accessible for analytical and operational use. - Implement … metadata management practices to enhance data discoverability, usability, and understanding across the organisation. - Ensure that data lineage, ownership, and definitions are maintained, enabling transparency and trust in data sources. Continuous Improvement & Governance Reporting - Monitor and assess the effectiveness of data governance practices, implementing improvements and best practices to enhance the governance framework. - Develop and present regular reports on … with industry trends and best practices in data governance, proposing new methods or tools to advance the company's governance capabilities. EXPERIENCE REQUIRED Strong experience in data governance, data management, or a related role, with experience implementing governance frameworks. Strong knowledge of data governance frameworks and standards, including data quality, metadata management, and compliance requirements. Experience with More ❯