26 to 50 of 62 Permanent Metadata Management Jobs

consistency across development teams and services Support established Data Governance and Data Quality frameworks, including tooling, policy enforcement, and stewardship models Ensure robust metadata management, lineage tracking, and data cataloguing using business glossaries and modern catalog tools Review and approve data architecture for major features, platforms, and technical … cross-functional teams Guide teams in the adoption of best practices in API design, modularity, cloud-native patterns, and event-driven systems Recommend data management best practices, covering data flows, architecture patterns, retention, archival, and purging strategies Coach and mentor engineers on data design, refactoring, and architectural reasoning Essential ...

oversee ETL/ELT pipelines to integrate batch and streaming data from multiple sources. Establish data governance, quality, security, privacy, and compliance standards. Implement metadata management and data lineage for transparency and traceability. Collaborate with data, ML, and analytics teams to deliver AI-ready datasets and features. Monitor …/ELT) using Python, SQL, or related tools. Experience with cloud-based data platforms and modern data architectures. Solid understanding of data governance, quality management, security, and privacy. Strong communication skills and ability to collaborate across technical teams. Preferred Experience Experience supporting AI/ML or advanced analytics projects. ...

design models at all levels of abstraction using data modelling tools Normalization & Denormalisation: Understanding of data normalisation rules and when to apply denormalisation. Metadata Management: Ability to define and manage metadata for data governance. Data Governance & Quality: Knowledge of data standards, lineage, and quality frameworks. Database Technologies ...

design models at all levels of abstraction using data modelling tools Normalization & Denormalisation: Understanding of data normalisation rules and when to apply denormalisation. Metadata Management: Ability to define and manage metadata for data governance. Data Governance & Quality: Knowledge of data standards, lineage, and quality frameworks. Database Technologies ...

Python is a plus) for automation and data processing tasks. Solid understanding of data warehousing concepts, ETL/ELT patterns, data quality, and metadata management . Strong problem-solving and troubleshooting skills . Excellent communication skills in English , with French proficiency (minimum B2) to collaborate with French-speaking ...

maintain data quality and usability Design interoperable data solutions to meet client needs, advising on selection and implementation of data products and tools Stakeholder management Facilitate workshops and interviews with clients and users to understand user needs and organisational priorities Develop and maintain strong client relationships, building trust with … innovative approaches or tools Data governance- define data governance and assurance for clients Data lifecycle- understand and apply data governance over a data lifecycle Metadata management- understand and promote the use of metadata repositories Data modelling- produce relevant data models across multiple subject areas Data standards- refine ...

maintain data quality and usability Design interoperable data solutions to meet client needs, advising on selection and implementation of data products and tools Stakeholder management Facilitate workshops and interviews with clients and users to understand user needs and organisational priorities Develop and maintain strong client relationships, building trust with … innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

maintain data quality and usability Design interoperable data solutions to meet client needs, advising on selection and implementation of data products and tools Stakeholder management Facilitate workshops and interviews with clients and users to understand user needs and organisational priorities Develop and maintain strong client relationships, building trust with … innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

maintain data quality and usability Design interoperable data solutions to meet client needs, advising on selection and implementation of data products and tools Stakeholder management Facilitate workshops and interviews with clients and users to understand user needs and organisational priorities Develop and maintain strong client relationships, building trust with … innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

maintain data quality and usability Design interoperable data solutions to meet client needs, advising on selection and implementation of data products and tools Stakeholder management Facilitate workshops and interviews with clients and users to understand user needs and organisational priorities Develop and maintain strong client relationships, building trust with … innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

maintain data quality and usability Design interoperable data solutions to meet client needs, advising on selection and implementation of data products and tools Stakeholder management Facilitate workshops and interviews with clients and users to understand user needs and organisational priorities Develop and maintain strong client relationships, building trust with … innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

storage, scan costs) Experience designing data products for analytics and reporting with trusted definitions (facts, dimensions, SCD, conformed dimensions) Strong knowledge of data governance: metadata management, lineage, stewardship, data quality rules, and critical data elements Proficiency with data modelling tools such as ER/Studio, PowerDesigner, ERWin … assurance, and documentation Solid understanding of data modelling techniques such as normalization, denormalization, Data Vault, semantic modelling, and canonical models Familiarity with master data management (MDM), reference data frameworks, and designing conformed dimensions Proficiency in SQL and data profiling to validate models against source data and ensure completeness/ ...

strategic direction and expert guidance. Partner with senior technology leaders to develop and implement modern data strategies. Design and deliver innovative solutions for data management, governance, and cloud migration. Oversee the development of robust data platforms using cutting-edge cloud technologies. Manage project teams, mentor junior staff, and support … implementation. Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable. In-depth knowledge of data modeling, data lake design, and metadata management tools. Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems. Experience in the financial services sector, with ...

cloud-based data platforms (AWS, Azure, or GCP) Strong knowledge of data modelling (conceptual, logical, physical) and data lake design Experience with data cataloguing, metadata management, and governance tools Understanding of data security, privacy, and access frameworks Excellent stakeholder management and leadership skills Desirable: Cloud certifications ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. This will be a remote working opportunity, which ...

/ELT design, and cloud-native architectures (Azure preferred) Demonstrable experience architecting data solutions that incorporate AI/ML capabilities Understanding of data governance, metadata management, and security best practices Ability to translate business requirements into robust technical designs Desirable Experience in highly secure or regulated environments (Defence ...

business and technical requirements. Create and maintain conceptual, logical, and physical data models that adhere to enterprise architecture standards. Define data quality rules, metadata standards, and naming conventions to ensure governance and consistency across systems. Engineering Collaboration Generate DDL and collaborate with engineering teams on schema deployment, indexing strategies …/ELT engineers to ensure that pipelines, transformations, and data flows align with model structures. Governance & Documentation Contribute to data lineage, cataloging, and metadata management efforts in partnership with Data Governance teams. Clearly communicate model changes, business impacts, and dependencies to technical and non technical stakeholders. YOUR PROFILE ...

financial services and energy. Their data capability exceeds 300 specialists, and their Data Architecture function is known for delivering high‐quality modelling, strategy and metadata solutions across large‐scale transformation programmes. They operate in a collaborative, low‐ego environment where expertise is valued and career progression is structured … dimensional models for transactional, analytical and enterprise environments. Define modelling frameworks, standards, and guardrails for large transformations such as migrations. Shape and document metadata, lineage, catalogues and source‐to‐target mapping. Contribute to ETL design and data movement patterns across platforms. Work with JSON, XML, Parquet and other semi ...

Governance Consultant Permanent Location: Home Based - with travel to client sites Salary: £90,000 - £95,000 (+ benefits) Skills: Data Governance, AI Assurance, Metadata Management, SC Clearance We are looking to recruit a Senior Data & AI Governance Consultant for a leading IT & Data Consultancy. You will help clients … customer site when required What you'll do Deliver data governance workstreams , including policies, stewardship models, RACI, data quality monitoring and remediation. Implement metadata and cataloguing : business glossaries, lineage, classification, and sensitivity labels. Contribute to AI assurance across the lifecycle, including training data preparation, model selection support, evaluation ...

financial services and energy. Their data capability exceeds 300 specialists, and their Data Architecture function is known for delivering high-quality modelling, strategy and metadata solutions across large-scale transformation programmes. They operate in a collaborative, low-ego environment where expertise is valued and career progression is structured … dimensional models for transactional, analytical and enterprise environments. Define modelling frameworks, standards, and guardrails for large transformations such as migrations. Shape and document metadata, lineage, catalogues and source-to-target mapping. Contribute to ETL design and data movement patterns across platforms. Work with JSON, XML, Parquet and other semi ...

translate business needs into clear functional and data requirements for technical teams. Hands-on experience creating data mappings (source-to-target), data dictionaries, and metadata documentation. Familiarity with Data Governance principles. Experience participating in Agile/Scrum teams . Fluency in Portuguese , with advanced technical English. Responsibilities … modeling standards , naming conventions, and best practices to ensure consistency and quality across the data platform. Support Data Governance initiatives, ensuring regulatory compliance, proper metadata management, and adherence to internal policies. Validate functional deliverables during development sprints and support QA/UAT cycles by reviewing test cases ...

Schedule Full time Job Shift Day Job Description The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that … World-Class Discovery Experience Lead the UX and service design vision — intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations — inspired by the best consumer marketplace patterns (Kaggle, Spotify ...

planning. Ensure adherence to enterprise architecture and security standards. Post Go-Live: Daily Operations & Maintenance Administer all OneStream environments (Production, Development, Sandbox). Manage metadata, hierarchies, and dimensional structures. Execute and monitor scheduled and ad hoc data loads. Troubleshoot and resolve integration and transformation logic issues. Maintain and enhance ...

Governance Manager to lead the development and delivery of their data governance framework. The role focuses on the accuracy and reliability of data, maintaining metadata, supporting regulatory compliance and guiding best practices in relation to data quality, ownership and governance processes. Key responsibilities: Lead the development, maintenance and continuous … Hands-on experience in developing and embedding data governance frameworks that ensure data is accurate, trusted and compliant. Strong understanding of data quality, metadata management and regulatory standards (ideally within financial services or another regulated sector). Experience managing and mentoring others, with a supportive and inclusive leadership ...

logical, and physical data models for insurance and financial systems. Ensure alignment with industry standards and data governance frameworks. Develop and maintain data dictionaries, metadata, and modelling documentation. Data Integration & Transformation Collaborate with business analysts, actuaries, and technology teams to integrate data from multiple sources (policy, claims, exposure, financial … data standards (e.g., ACORD, equivalent frameworks). Analytical & Communication Skills Ability to translate complex business requirements into scalable data models. Strong communication and stakeholder-management skills. Preferred Qualifications Experience with cloud platforms (e.g., Azure, AWS, GCP). Knowledge of data governance, MDM, and metadata management. Familiarity with ...