126 to 149 of 149 Metadata Management Jobs

their dashboards into an AI-ready form the agent can query cleanly and reliably. Semantic Layers & Ontologies – Contribute to semantic models (metrics, definitions, and metadata) so a given metric means the same thing everywhere it's asked about, however the question is phrased. Knowledge Base Authoring – Author and maintain … your time, and make pragmatic trade-offs to deliver value with minimal supervision. What Would Make You Stand Out: Understanding of data modelling concepts, metadata management, or semantic layers. Exposure to conversational AI, LLM-powered tools, or agent-based workflows. Experience with MCP connections. Familiarity with BI platforms ...

implement the enterprise semantic layer that enables trusted AI, consistent analytics, interoperability, and reusable business knowledge. Partner with Applied AI, Data Science, Product Management, Engineering, and Business teams to embed semantic capabilities into NovaOS products and AI solutions. Establish governance, metadata management, knowledge lifecycle processes, and quality … Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or a related discipline. 10+ years of experience in semantic technologies, knowledge engineering, enterprise architecture, data management, or AI platforms, including leadership experience. Deep expertise with ontologies, taxonomies, metadata, RDF/OWL, knowledge graphs, graph databases, semantic web technologies ...

APIs. Familiarity with feature-store concepts, including feature discovery, reuse, versioning, and online/offline consistency. Familiarity with model registries, experiment tracking, and ML metadata management. Experience with performance, scalability, and reliability considerations for real-time systems. Hands-on experience provisioning and managing cloud infrastructure with Terraform. Experience with ...

models, data readiness for LLMs)Working knowledge of how AI/ML solutions depend on data integration, data quality, data governance, and metadata management—especially relevant to Precisely’s portfolioExperience leveraging AI tools (e.g., copilots, predictive analytics, account intelligence platforms) to improve Pipeline generation, Deal qualification, Forecast accuracy ...

/AI workloads integrate into data architectures. Hands-on coding ability (e.g. Python, Java, R) is beneficial but not required. Governance, Security and Data Management Experience designing within structured architectural governance frameworks. Familiarity with government assurance processes and design authorities. Strong understanding of data governance frameworks and metadata ...

problems together.Minimum requirements:Experience across UK Healthcare sector or Public SectorStrong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data.Track record of providing technical leadership within data projects including assurance, mentoring and standards definition. Aware ...

problems together.Minimum requirements:Experience across UK Healthcare sector or Public SectorStrong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data.Track record of providing technical leadership within data projects including assurance, mentoring and standards definition. Aware ...

together. Minimum requirements: Experience across UK Healthcare sector or Public SectorStrong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Track record of providing technical leadership within data projects including assurance, mentoring and standards definition. ...

together. Minimum requirements: Experience across UK Healthcare sector or Public SectorStrong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Track record of providing technical leadership within data projects including assurance, mentoring and standards definition. ...

requirements and is consistent with established R&D standards. Manage and lead project scoping and scheduling; track progress of individual tasks and alert executive management and stakeholders of concerns meeting schedules, while following established R&D standards. Manage product quality standards by ensuring functional, unit and performance testing … implement and resolve code changes related to enhancements, redesigns, and/or bug fixes. Contribute to product or project direction through collaboration with Product Management, Marketing, Sales, Customers, and others within SAS. Manage all aspects of the department including teamwork, performance management, feedback, professional growth through collaboration with ...

similar) for data integration, pipeline development, and automation. Experience with modern data architectures, including data lakes/warehouses, governance frameworks, and master/metadata management. Hands-on experience with Generative AI and LLMs, including RAG, embeddings, vector search, GraphRAG, prompt engineering, and agent frameworks (e.g. LangChain, LlamaIndex). Strong ...

efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management.As a lead, you will contribute to architecture reviews, mentor junior data modelers, and support data governance initiatives. You will also play a role … data architecture principles and data governance.•Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory Data).•Excellent communication and stakeholder management skills.Preferred•Experience with ETL tools and data integration processes.•Familiarity with data warehousing concepts and cloud data platforms.•Exposure to Fivetran, SSIS, or Snowflake advanced ...

Prolaborate to publish and review architecture information. Support architecture model exchange using XML and XMI where required. Maintain architecture repositories, modelling standards, naming conventions, metadata and controlled documentation. Engage with stakeholders to gather information, validate architecture models and communicate architecture decisions and dependencies. Support data architecture relating to construction … hybrid architectures. Experience modelling application landscapes, integrations and technology dependencies. Understanding of systems integration, APIs, interfaces, middleware and information exchange. Experience with requirements capture, management and traceability. Experience developing current-state, transition-state and target-state architecture views. Experience using ArchiMate or an equivalent enterprise architecture modelling notation. Working ...

Prolaborate to publish and review architecture information. Support architecture model exchange using XML and XMI where required. Maintain architecture repositories, modelling standards, naming conventions, metadata and controlled documentation. Engage with stakeholders to gather information, validate architecture models and communicate architecture decisions and dependencies. Support data architecture relating to construction … hybrid architectures. Experience modelling application landscapes, integrations and technology dependencies. Understanding of systems integration, APIs, interfaces, middleware and information exchange. Experience with requirements capture, management and traceability. Experience developing current-state, transition-state and target-state architecture views. Experience using ArchiMate or an equivalent enterprise architecture modelling notation. Working ...

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 ...

preferredDemonstrable deep expertise and practical experience in the Data and Analytics domain including but not limited to: Data Strategy, Business Intelligence and Analytics, Data Management, Data Modelling, Data Quality, Data Governance, Master Data Management and Metadata Management. Ability to build relationships and influence C suite stakeholders … achieving/exceeding revenue targetsWho you areGartner Consultants are correctly viewed as THE experts. This means you need to know your markets, vendors, trends, management practices, etc. and be able to see the forest and the trees. Excellent collaborator with the ability to quickly build rapport and gain client ...

enterprise domain ontologies into relational data models, ensuring business concepts and their relationships accurately mirror real-world retail and supply chain processes.Implement and maintain metadata repositories, data dictionaries, and lineage tools within the enterprise data catalog.Define test conditions and execute automated data quality scripts to validate datasets before production … code.Data Quality & Testing: Experience writing automated data validation scripts and test suites to verify accuracy and structural integrity.Metadata & Documentation: Ability to design and manage metadata, data dictionaries, and data cataloging assets.Stakeholder Translation: Excellent ability to communicate complex data structures to non-technical business users.Delivery Frameworks: Comfortable working within Agile ...

supporting planning, budgeting, forecasting and reporting. Key Responsibilities Define future-state planning and forecasting processes. Lead EPM design and integration with Oracle ERP. Manage metadata, dimensions and reporting structures. Oversee budgeting and forecasting solution design. Essential Skills & Experience Oracle EPM Cloud solution design and implementation experience. Proven planning, budgeting ...

supporting planning, budgeting, forecasting and reporting. Key Responsibilities Define future-state planning and forecasting processes. Lead EPM design and integration with Oracle ERP. Manage metadata, dimensions and reporting structures. Oversee budgeting and forecasting solution design. Essential Skills & Experience Oracle EPM Cloud solution design and implementation experience. Proven planning, budgeting ...

mentorship to data engineers, architects, and delivery teams, promoting best practices across architecture, security, and cloud engineering.Define and implement robust data models, ETL pipelines, metadata frameworks, and modern data warehousing solutions.Design and optimise large-scale streaming data platforms using technologies such as Apache Flink and other real-time processing … time data processing architectures.Strong understanding of data modelling methodologies, architectural patterns, and industry standards.Expertise across ETL processes, data integration, data warehousing, distributed systems, and metadata management.Experience leading technical teams and mentoring architects, engineers, and other data professionals.Ability to engage, influence, and build credibility with senior business and technical stakeholders.Experience ...

data engineers, architects, and delivery teams, promoting best practices across architecture, security, and cloud engineering. Define and implement robust data models, ETL pipelines, metadata frameworks, and modern data warehousing solutions. Design and optimise large-scale streaming data platforms using technologies such as Apache Flink and other real-time processing … processing architectures. Strong understanding of data modelling methodologies, architectural patterns, and industry standards. Expertise across ETL processes, data integration, data warehousing, distributed systems, and metadata management. Experience leading technical teams and mentoring architects, engineers, and other data professionals. Ability to engage, influence, and build credibility with senior business ...

improve governance processes and support the transition of governance activities into business-as-usual operations.Your Skills:Proven experience in Data Governance, Master Data Management, Data Quality, Business Analysis, or Data Management roles.Strong understanding of data governance frameworks, operating models, and accountability structures.Experience facilitating workshops, governance forums, and stakeholder … engagement sessions.Knowledge of data ownership, stewardship, data standards, business glossaries, and metadata management.Understanding of data quality management practices and Critical Data Elements (CDEs).Experience working on ERP, CRM, or enterprise transformation programmes.Strong analytical, organisational, problem-solving, and communication skills.Ability to influence stakeholders and drive adoption of governance practices.Experience ...

roleThe Systems Engineer is a Tier 2 support and engineering role responsible for the reliability, security, and continuous improvement of the organization's document management platforms, with a focus on Laserfiche and iManage. The role provides deep technical troubleshooting and administration, owns platform configuration and operational runbooks, and partners … into account internal equity and our commitment to a fair, consistent and gender-neutral compensation framework. Key Responsibilities: Provide Tier 2 support for document management platforms (Laserfiche and/or iManage), resolving incidents escalated from Tier 1 and owning issues through to closureTroubleshoot across platform, integrations, client components, authentication ...

Scientist (f/m/d) - Automatic metadata extraction using LLMs, data analysis, and data visualization The Scientific Computing Center is the Information Technology Center of KIT. The National Research Data Infrastructure (NFDI) aims to systematically catalogue and make accessible the data holdings of science and research, ensure their … being developed, enabling the digital representation of materials data and specific metadata. Services for the easy storage, sharing, searching, and analysis of data and metadata are being developed and made available to researchers. Furthermore, data from scientific groups distributed throughout Germany should be accessible through a knowledge-graph-based ...