176 to 200 of 212 Permanent Metadata Jobs

policies, standards, controls, and operational processes across data and enterprise systems Establish Data Ownership and Stewardship models across business domains Lead the strategy for metadata management, data cataloguing, lineage, and classification Define and embed Data Quality Management frameworks and KPIs Create governance approaches for AI usage, approval processes, monitoring … experience building or leading Data Governance frameworks within complex enterprise environments Knowledge of AI Governance, responsible AI principles, and emerging regulatory landscapes Experience with metadata management, data cataloguing, lineage, and governance tooling Understanding of modern cloud data platforms and enterprise architectures Experience working across both technical and non-technical stakeholder ...

Data Product Owner/Manager for the Quantitative Trading & Research Credit team, you will be responsible for defining data products and their attributes, registering metadata, and ensuring rigorous testing and validation. You will collaborate with traders and data consumers to establish data quality metrics and automate monitoring. You will … Products. Define data attribute requirements and map data lineage for each Data Product. Perform testing and validation of technical implementations and sign‐off. Register metadata in the catalog and ensure its evergreen status. Define critical data elements, data quality metrics, and alerting thresholds. Maintain SLAs for data quality and timeliness ...

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 … with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access — self-service provisioning, entitlement workflows, one-click integration with SageMaker, Databricks ...

underwriting, claims, policy, finance, and distribution domains. Key Responsibilities Define and evolve enterprise data management frameworks covering: o Data governance o Data quality o Metadata & cataloguing o Master & reference data Develop target operating models and governance approaches Define data ownership, stewardship, and accountability models Establish standards for: o Data quality … Data lineage o Metadata management o Product master data Support tooling strategy across catalogue, lineage, and governance capabilities Work closely with business, architecture, engineering, and compliance teams Translate business requirements into scalable data management practices What We're Looking For Strong background in enterprise data management and governance Experience designing ...

Customer, Supplier, Location, and Asset. The role spans strategy, operating model, platform/product leadership, governance, and adoption, ensuring that golden records and metadata are produced, protected, and propagated. The VP establishes the MDM operating model, drives DataOps practices for quality and reliability, and partners with Security, Privacy … stewardship model, and decision rights; maintain glossary, policies, and quality thresholds. Build and manage the MDM product/platform team (product, engineering, data quality, metadata/lineage). Implement DataOps for MDM (CI/CD, automated testing, observability, change control, incident/problem management). Deliver golden record services (match ...

challenge consensus. The Data Ecosystem team is an important part of DRW’s Unified Platform (UP) organization, building the platform capabilities, managed infrastructure, and metadata management systems that underpin our common query layer and power thousands of batch and streaming pipelines across DRW. As a Team Lead of our Data … Ecosystem team, you will lead a team of Data Engineers who craft the architecture of DRW’s data platform, establishing data infrastructure, creating metadata management tools, and scaffolding governance processes that accelerate the time to onboard datasets, curate them, and make them available throughout the firm. This role encompasses people ...

will be performed include working with scientific domain experts to understand the location and structure of their data, designing methods to extract/develop metadata, implementing a strong dataset taxonomy to ensure consistency, orchestrating the migration of datasets for computational analysis using approved LLMs, etc. Scope Client is seeking … managed through the workflow Filtering, sanitizing, normalizing and/or otherwise preparing the data for storage/sharing Packaging the data with AI-enabling metadata into an HDF5 format that can be used for long-term storage Creating a mechanism to migrate and inventory data for easy retrieval and/ ...

About the Role At KnightFrank we are transforming how we deliver B2C property solutions to enhance customer experiences, optimise operations, and drive growth. As a Solutions Architect, you’ll play a pivotal role in designing ...

Senior Data Architect Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham, Yeading Salary: £57,515 - £82,430 per annum Vacancy Type: Permanent Apply before 11:55 pm on Monday 8th June 2026 About the job ...

Senior Data Architect Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham, Yeading Salary: £57,515 - £82,430 per annum Vacancy Type: Permanent Apply before 11:55 pm on Monday 8th June 2026 About the job ...

Senior Data Architect Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham, Yeading Salary: £57,515 - £82,430 per annum Vacancy Type: Permanent Apply before 11:55 pm on Monday 8th June 2026 About the job ...

documentation. • Apply AI/ML for data profiling, anomaly detection, and automated quality checks. • Use LLM-based assistants for SQL optimisation, code conversion, and metadata extraction. • Build AI-powered dashboards and automated reporting. Key responsibilities: Legacy Analysis & Design • Analyse Oracle schemas, procedures, packages, triggers, and dependencies. • Perform source-to-target … documentation. • Apply AI/ML for data profiling, anomaly detection, and automated quality checks. • Use LLM-based assistants for SQL optimisation, code conversion, and metadata extraction. • Build AI-powered dashboards and automated reporting. Key skills/knowledge/experience: • Analyse Oracle schemas, procedures, packages, triggers, and dependencies. • Perform source ...

Consolidation, Planning, Workflow, Dashboards, and Reporting. Design and enhance Cube Views, Forms, Dashboards, BR/Calc Scripts, Extender rules, and complex transformation logic. Own metadata architecture, dimensional design, optimisation, and best practice governance. Create new models and enhancements using Analytic Blend, PFx, Task Manager, Application Control Manager, and other … intercompany, eliminations, and minority interest. Experience building planning models such as driver‐based planning, forecasting, and allocation frameworks. Demonstrable ability to design scalable metadata structures and optimise cube performance. Robust integration experience Excellent communication skills with the confidence to partner effectively with Finance stakeholders. Desirable Experience Familiarity with Analytic Blend ...

Quadrant. Key Responsibilities Vision & Strategy: Define and execute the roadmap for the Data Intelligence Platform, in close relationship with Actian CPO, moving beyond traditional metadata management into AI-native Data Products and Agentic Governance . Leadership: Manage and mentor a high-performing team of 5–8 Product Managers across Europe … Data Quality). Technical Savvy: You are "technically dangerous." You understand the mechanics of AI/ML, LLMs, and how AI agents can automate metadata extraction and user interaction. The "Hybrid" DNA: You have successfully navigated both the agility of a startup (like Zeenea) and the complex stakeholders ...

according to global regulatory standards and Zero Trust principles. Job Responsibilities: Architect and deploy the Microsoft Purview governance portal to scan, ingest, and catalog metadata from diverse sources (Azure SQL, Synapse, S3, Snowflake, and on-premises). Design and maintain a comprehensive Sensitivity Labeling taxonomy and Data Loss Prevention … policies to detect and mitigate data exfiltration or policy violations. Develop PowerShell scripts and utilize Purview APIs to automate administrative tasks and integrate Purview metadata with Microsoft Sentinel for advanced threat hunting. Act as the technical lead for Data Privacy, Legal, and IT teams to translate complex regulatory requirements (e.g. ...

solutions. Provide oversight and guidance to data architects in the design and production of data artefacts. Design and maintain logical and physical data models, metadata systems, and data dictionaries. Ensure adherence to organisational data architecture standards across teams. Support agile delivery teams using Scrum methodology, contributing to iterative and collaborative … attitude with a proactive and solution-oriented mindset. Solid experience with agile delivery practices, particularly Scrum. Ability to design data models and metadata systems that support business objectives. Competence in developing and managing data dictionaries. Experience providing technical oversight and ensuring compliance with architectural standards. Collaborative approach to working with ...

architecture, automated testing, documentation, observability, and maintainable code. Integrate tools with engineering data sources such as logs, test output, failure reports, source code, build metadata, and CI results, ensuring outputs are useful, traceable, and appropriate for engineering decision-making. Contribute to the design and evaluation of LLM-based systems, including … integrations, test infrastructure, or engineering automation. Experience working with engineering data and workflows, such as logs, source code, test output, CI results, build metadata, failure reports, or software quality signals. Hands-on DevOps experience with AWS, Kubernetes, Cloudbees Jenkins, GitHub, or similar platforms. In Return: When joining our team ...

gates, and delivery packaging. You should be able to talk shop with vendors/partners/clients on best practices (formats, sync, calibration metadata, labeling, eval outputs) and also build the tooling to manipulate and audit datasets directly. Miraxis was founded by Artem Sokolov, who is also the Founder … audit datasets (large files, long-running jobs, real-world edge cases). Collaborate with Ops/Delivery and Hardware & Integration to ensure capture metadata and formats support downstream usability. Work with partners/vendors/clients to align on formats and best practices; turn external constraints into concrete pipeline requirements. ...

issues Maintain the knowledge graph as an accurate, traversable semantic layer connecting group operational data Ensure data ingestion into systems is governed by clear metadata and semantic standards Document all structural decisions, changes and rationale to support long-term knowledge asset governance Contribute to the broader delivery team, sharing knowledge … cases expand, the taxonomy must evolve in a controlled, documented and consistent way. Technical Qualifications Taxonomy design and iterative development Governance framework design Metadata modelling and stewardship Faceted classification Change management for knowledge assets Knowledge organisation systems Key Deliverables Governed enterprise taxonomy with version control and change log Taxonomy governance ...

Knowledge Management requirements Maintain and enhance the functionality and structure of the technical Library, uploading documents into the library and tagging them with defined metadata Curating, developing and promoting the use of the business taxonomy in SharePoint Ensuring data is maintained and only shared within a secure environment, with access … experts to ensure site pages and documents in the Technical Library are kept up-to-date with accurate and curated information, tagged with appropriate metadata, including publication of documents Assisting in the promotion of knowledge capture and sharing within the Engineering function, and to the wider business Clearly identify ...

rRNA sequencing, ITS sequencing, shotgun metagenomics), Multi-omics (proteomics, lipidomics, metabolomics), Clinical and observational data (treatment exposure, formulation and ingredient combinations, clinical outcomes, patient metadata). Datasets include longitudinal measurements, enabling analysis of biological response to interventions (e.g., ingredient exposure, treatment, formulation). 1) Build the discovery engine (data → signal … feature representations from: o microbiome sequencing (16S/ITS/shotgun) o gene expression/transcriptomics o lipidomics/proteomics/metabolomics o clinical metadata and response data o SNP and risk features (where relevant) 2) Predict mechanism + response ● Build predictive models for: o molecule–microbe interactions o molecule ...

teams to refine page structures, wireframes and content layouts to improve user engagement and clarity Ensure content is properly structured within AEM, including tagging, metadata and taxonomy alignment to support search and discoverability Monitor website content performance (traffic, engagement, conversion, search visibility) and recommend optimizations based on insights Apply best … workflows Basic understanding of HTML/CSS and web publishing fundamentals, not coding but content structure awareness Experience working with content taxonomy, tagging and metadata structure within a CMS Software skills required: Enterprise CMS platforms, preferably Adobe Experience Manager Content planning and collaboration tools (Microsoft Office, SharePoint, Teams, project management ...

sciences focus), or a related field. Hands-on experience with data stewardship and/or data governance concepts (e.g., stewardship operating model, data quality, metadata, ownership, and standards). Experience working with data standards, ontologies, vocabularies, or controlled terminologies in a research or life-sciences setting. Knowledge of cloud platforms … specifically google cloud. Understanding of multi-omics data types and workflows (e.g., genetics, transcriptomics/gene expression) and how sample/assay metadata ties to experimental outputs. Working knowledge of data modeling and structuring datasets for analysis and reuse. ...

ontology reuse, extension, and mapping decisions (with documented rationale), and define persistent identifiers and consistent provenance fields. Risk Mitigation: Identify modelling risks early, including metadata gaps, ontology conflicts, source data quality issues, lineage gaps, and downstream compatibility risks. Design & Architecture: Design modular, reusable, and future-proof models aligned to FAIR … equivalent), including classes, slots, ranges, identifiers, constraints, and ontology bindings. Lifecycle Management: Manage schema lifecycles via GitHub-based repositories, semantic versioning, tagged releases, and metadata catalogues. Stakeholder Collaboration: Partner with Scientific Knowledge Engineering, Causal Biology SMEs, Data Engineering, and Platform teams. ...

next frontier is AI. For agents to be effective with data, they need more than raw tables and APIs. They need context: catalog metadata, schemas, lineage, ownership, quality signals, permissions, relationships, usage patterns, and business meaning. We are building the semantic and experiential foundation that will allow both humans … love to see: Experience building developer platforms, internal tools, control planes, data platforms, cloud platforms, or engineering productivity products. Familiarity with data catalogs, metadata platforms, semantic layers, lineage systems, knowledge graphs, or search and discovery experiences. Familiarity with technologies such as Kubernetes, Trino, Spark, notebooks, or lakehouse architectures. Experience applying ...