101 to 125 of 386 Permanent Metadata Jobs

at early stages of maturity within the organisation therefore extensive project and communication skills are required. Responsibilities: · Strong knowledge and expertise in the use of data governance, data quality, metadata, profiling, analysis, and data management tools. · Responsible for data governance implementation across the Risk and Finance domains in line with BCBS239 requirements. · Support the implementation of the data governance strategy 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 SQL, Python 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. You will learn, grow and More ❯

DevOps. Hands-on experience with CI/CD tools such as Git, Jenkins, Azure DevOps, Bitbucket, or Copado. Expertise in Salesforce deployment strategies, including change sets, Salesforce DX, and metadata API. Strong understanding of version control and branching strategies. Experience with automation frameworks for testing and deployment. Experience working in agile and DevOps environments. Strong experience with Salesforce DX, CLI More ❯

DevOps. Hands-on experience with CI/CD tools such as Git, Jenkins, Azure DevOps, Bitbucket, or Copado. Expertise in Salesforce deployment strategies, including change sets, Salesforce DX, and metadata API. Strong understanding of version control and branching strategies. Experience with automation frameworks for testing and deployment. Experience working in agile and DevOps environments. Strong experience with Salesforce DX, CLI More ❯

ability to clearly present technical findings to both technical and non-technical audiences. ESSENTIAL RESPONSIBILITIES AS A TEAM MANAGER YOU WILL: Design, build, and evaluate machine learning models for metadata matching and decisioning. Develop methodologies to integrate outputs from multiple external vendor systems into unified, high-confidence match decisions. Create and maintain datasets and features required for modeling, ensuring high More ❯

and determine recommendations for resolution Conduct entity resolution to identify matching and merging and semantic conflicts Conduct data attribute mapping back to the data source Elicit, record, and manage metadata Diagram current processes and proposed modifications using process flows, context diagrams and data flow diagrams Discover and document requirements and user stories with a focus on improving both business and More ❯

Experience: Prior experience working on large-scale Salesforce implementations for enterprise customers is a significant asset. A understanding of the Salesforce Platform, including deep familiarity with its APIs (e.g., Metadata, Tooling, REST), declarative automation (Flows), and security model (Profiles, Permission Sets). Broader Platform Knowledge: Familiarity with the wider Salesforce ecosystem, including integration platforms like MuleSoft and data visualization tools More ❯

to facilitate shared understanding. Understand and Apply the Maersk data modelling tools and technologies to ensure efficiency and accuracy of data modelling processes Create and Maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models Document and Communicate business information model designs and standards to ensure understanding and compliance across the organization spanning business and technology More ❯

frameworks. Database administration and integration (MySQL, PostgreSQL, SQL Server, Oracle). ETL development, APIs, and secure data transfer methods. Compliance frameworks (HIPAA, FERPA, GDPR, IRB). Data governance principles, metadata standards, and data stewardship. Containerization and virtualization tools (Singularity, Docker, VMware). Scripting and programming languages (Python, R, Bash, SQL). HPC storage systems (GPFS, Lustre) and high-performance networking More ❯

enforcement of policies for data quality, security, and compliance. Experience setting up and working with in a Data Office that defines the above policies Proficiency in data cataloguing and metadata management tools such as Collibra, Atlan, Informatica, or similar platforms. Knowledge of data lineage, stewardship, and data quality management, using relevant tools and applications to support these responsibilities. Comfortable implementing More ❯

This role is responsible for managing and maintaining metadata repositories, ensuring compliance with data standards, and supporting the organization's data governance framework. The successful candidate will champion metadata visibility and standardization while implementing robust processes for change management and attestation Client Details A leading global financial institution with a strong presence in EMEA, committed to delivering innovative solutions and … maintaining the highest standards of data integrity and compliance. Description Own and maintain interim metadata management repositories. Ensure metadata is maintained to policy standards. Collaborate with data owners and stewards to populate business metadata for critical data elements (CDEs). Work with project managers to populate technical metadata as required by transformation initiatives. Establish and execute attestation and change management … processes. Support documentation of data lineage where required. Assist in identifying long-term and interim metadata management tools. Promote standardization, visibility, and wider corporate usage of metadata. Must be hands-on and proactive in driving metadata initiatives. Profile Significant experience in metadata management, including business and technical metadata. Familiarity with formal and informal metadata management tools. Strong skills in data More ❯

relationships and driving new opportunities across the data architecture function. Key Responsibilities Lead the design and implementation of enterprise-wide data models and standards Define data frameworks, governance, and metadata strategies for large-scale transformation projects Partner with clients to identify opportunities for data modernisation and architecture improvement Oversee multiple workstreams and mentor senior consultants and modellers Support business development More ❯

open-source LLM frameworks. Ontology & Semantic Systems: Automated layers that unify structured and unstructured data. Agent Runtime: Planning, tool execution, distributed system observability, and robust runtime workflows. Data Infrastructure: Metadata systems, connectors, ETL pipelines, and vectorized storage. Reasoning Engines: Hybrid LLM + symbolic pipelines, task decomposition, and long-term memory. Engineering Culture: Define standards for code quality, system design, and More ❯

open-source LLM frameworks. Ontology & Semantic Systems: Automated layers that unify structured and unstructured data. Agent Runtime: Planning, tool execution, distributed system observability, and robust runtime workflows. Data Infrastructure: Metadata systems, connectors, ETL pipelines, and vectorized storage. Reasoning Engines: Hybrid LLM + symbolic pipelines, task decomposition, and long-term memory. Engineering Culture: Define standards for code quality, system design, and More ❯

sets generated from a diverse range of processes Manages data and information in all its forms and the analysis of information structure (including logical analysis of taxonomies, data and metadata) Other duties as assigned Qualifications Bachelors Degree in physics or equivalent experience in data science AND a minimum of 5-8 years of experience as described above. Analytical skills relating More ❯

improvements. Produce clear technical documentation and status reporting throughout the migration process. What Youll Bring: Demonstrable years of experience in Teamcenter deployment and data migration. Proven track record leading metadata, CAD, and document migrations . Strong understanding of PLMXML and IPS Data Upload utilities . Hands-on experience with ETL tools (Informatica or Pentaho preferred). Ability to script or More ❯

improvements. Produce clear technical documentation and status reporting throughout the migration process. What Youll Bring: Demonstrable years of experience in Teamcenter deployment and data migration. Proven track record leading metadata, CAD, and document migrations . Strong understanding of PLMXML and IPS Data Upload utilities . Hands-on experience with ETL tools (Informatica or Pentaho preferred). Ability to script or More ❯

for 2026 and build infrastructures to measure LTV by acquisition source. You will also develop deep-dive reporting and insights on content consumption and support evaluation of AI-driven metadata features. Develop, maintain and evolve self-service dashboards across Tableau/Looker for O&O teams - covering traffic, content, SEO and newsletter performance. What you'll need to succeed Experience More ❯

logic in compliance with regulations, Extending functionality and automation through serverless functions to address WebFlow limitations and streamline workflows. CMS Architecture & Webflow Management Evaluating CMS structure and optimize fields, metadata, templates, and workflows to make content management intuitive for marketing. Technical SEO/AEO Implementation Implement changes recommended by our SEO team around schema markup, href logic, advanced redirects, sitemap More ❯

logic in compliance with regulations, Extending functionality and automation through serverless functions to address WebFlow limitations and streamline workflows. CMS Architecture & Webflow Management Evaluating CMS structure and optimize fields, metadata, templates, and workflows to make content management intuitive for marketing. Technical SEO/AEO Implementation Implement changes recommended by our SEO team around schema markup, href logic, advanced redirects, sitemap More ❯

and business acumen, translating models into measurable costs, performance targets, and real-world outcomes. Key Responsibilities Data Curation & Indexing Pipelines Architect and implement large-scale pipelines for video ingestion, metadata extraction, and indexing using vector databases and embedding models to enable fast, semantic retrieval. Design annotation workflows integrating active learning, weak supervision, and human-in-the-loop systems to curate More ❯

Potential Projects: Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI/ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription More ❯

and systems, ensuring compliance with regulatory and internal standards. Strong track record of influencing senior stakeholders and embedding governance practices into organizational culture. Advanced knowledge of information governance principles, metadata management, and data quality frameworks, with practical application in complex environments. Understanding of Data Governance, Data Protection & Privacy, Litigation scenarios and Data Minimisation. Team Overview: Legal As a team, we More ❯

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 end of More ❯