251 to 275 of 750 Metadata Jobs

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 stakeholder ...

Develop and implement global SEO, AEO, and GEO strategies to increase visibility, authority, and organic traffic. Optimise website content, technical architecture, structured data, and metadata to maximise discoverability across traditional and AI-powered search platforms. Drive visibility and brand presence within AI-driven search experiences including ChatGPT, Claude, Microsoft Copilot ...

objectives. Team Overview The Common Tooling Platform Data Services team develops and maintains microservices that handle the fetching, enriching, consolidating, and distribution of network metadata to customers. The team also creates an event-based inventory system to facilitate communication across the network ecosystem, ensuring efficient management and accessibility of network ...

ongoing performance testing outcomes for models used in the coverage area, and communicate those outcomes to stakeholders. Maintain the model inventory and model metadata for the coverage area. Maintain the pace with the latest developments in coverage area in terms of products, markets, models, risk management practices, and industry standards. ...

Certified Integration Architecture Designer or Development Lifecycle & Deployment Designer (preferred) Advanced experience with Salesforce development tools and technologies, including: Triggers, Batch Jobs, and Custom Metadata Types Experience building and maintaining managed packages (a plus) Additional experience: Deep understanding of SOQL, SOSL, and relational database tools (e.g., MySQL, Oracle ...

consistency Understanding of AI capabilities and how they can be leveraged safely and ethically in knowledge work Customer-centric mindset Experience in taxonomy development, metadata management, or content classification Good technical ability and an aptitude for learning proprietary taxonomy systems Knowledge of Agile working methodologies Proficiency in additional languages Experience ...

leadership background in distributed systems and platform engineering Deep experience with data platform engineering at scale, including ingestion and integration patterns, data quality enforcement, metadata and lineage, and secure access controls Experience enabling AI‐powered systems in production, including evaluation, monitoring, observability, auditability, and guardrails Strong ability to partner with ...

embed this into the active design and asset verification lifecycle.* Data Management: Own the strategy for the Common Data Environment (CDE), enforcing strict metadata governance, asset data drops (COBie), and information security protocols across the engineering practice.**Commercial, Bidding & Client Relations*** Formulate the digital and BIM execution strategies for major ...

/sub MQ, the heart of our system, offers high availability, low latency and message persistence. We provide gRPC and HTTP APIs for various metadata, while PostgreSQL and ElasticSearch serve as our go‐to databases. Responsibilities: Design, implement and maintain complex designs/features written in Python and Rust Implement ...

embed this into the active design and asset verification lifecycle. Data Management: Own the strategy for the Common Data Environment (CDE), enforcing strict metadata governance, asset data drops (COBie), and information security protocols across the engineering practice. Commercial, Bidding & Client Relations Formulate the digital and BIM execution strategies for major ...

enabled platforms and services. Data and knowledge readiness: Work with engineering, data, and business teams to prepare structured and unstructured data, improve metadata, design retrieval strategies, and identify gaps in source content. Security, privacy, and governance: Embed access controls, audit logging, data protection, responsible AI controls, security review, and compliance ...

Pipelines for training and orchestration. SageMaker Feature Store for feature management. SageMaker Model Registry for model versioning and approvals. SageMaker Experiments for lineage and metadata tracking. Enable consistent promotion of models across environments (dev/test/pre-prod/prod). Implement automated retraining strategies triggered by data ...

integration, DER/RES integration and corporate asset management. Responsibilities Develop and implement data governance practices, including data ownership, data quality controls, validation rules, metadata, versioning, and lifecycle management. Support data standardisation and harmonisation across network model datasets, systems, and stakeholders. Manage and maintain network model data, ensuring data quality ...

both human users and machine interpretation, you should have: A strong understanding of technical SEO fundamentals Experience improving site structure and internal linking, Metadata and indexing and page performance Familiarity with structured content and schema markup (e.g. Schema.org) An understanding of how content clarity, structure and authority influence AI‐driven ...

reduced, development costs lowered, and a consistent experience provided across all data latencies (Real-time, Recent History, and Deep History), data types (time series, metadata, unstructured) and services.* Internal users are recognized as ultra-valuable sources of feedback. By mandating both internal and external DA workflows through the same ...

senior architecture position requiring much more than data modelling alone. You will work across enterprise architecture, data governance, data platforms, information management, metadata and emerging AI capabilities , helping ensure that data is treated as a strategic organisational asset. You will work closely with senior business and technical stakeholders, Enterprise Architects … architectures and models. Establish clear links between business objectives, information requirements, data assets and technology solutions. Provide architectural leadership across data governance, data quality, metadata and information management. Define data architecture principles, standards, reference models and reusable patterns. Work closely with Data Engineering teams on the design and evolution ...

A leading digital library organization in London is seeking a full-time expert to manage and preserve its digitized and born-digital collections. The ideal candidate will have a degree in a relevant field, excellent ...

Endpoint, Cloud Apps) Data Governance (catalogue, scanning, classification) Records Management (retention labels & policies) Insider Risk Management eDiscovery (Standard & Premium) Manage scanning rules, data connectors, metadata sources, and catalog assets. Support integration with M365, Azure, Power Platform, and on premises data sources. Monitor Purview alerts, DLP incidents, policy matches, and governance … issues to engineering or architecture teams as required. Maintain audit trails, compliance dashboards, and monthly reporting. Assist with maintaining data classification schemas, taxonomy, and metadata models. Support data owners and stewards in cataloguing and tagging data assets. Run data scans, quality checks, and lineage validation tasks. Produce and maintain operational ...

data structures and integration patterns supporting placement, policy, claims, exposure, and risk analytics use cases. Establish standards for data ingestion, transformation, storage, lineage, metadata, and consumption. Support the evolution of modern data platforms, including cloud-based data lakes, warehouses, and event-driven data architectures. Design data solutions across both relational … architectures. Experience with both relational and non-relational data platforms , including exposure to MongoDB and document-based data models. Strong understanding of data governance, metadata, lineage, and data quality frameworks. Experience working across complex legacy and modern technology environments. Strong stakeholder management and communication skills, with the ability to engage ...

Modelling, Governance and Controls Work closely with technical and quant teams on domain data modelling, canonical views, silver-layer enterprise views, data catalogues, lineage, metadata and critical data elements. Lead the design on data schemas, data storage, query apis and front to back information flows Provide product-owner challenge … support cross-asset analytics, and can scale to production risk and trading workflows. Drive strong data governance practices, including data ownership, stewardship, quality controls, metadata management, lineage and controlled data sharing. Ensure compliance with the bank’s policies, standards, regulatory expectations and industry good practice. Strategic Data Source Determination Identify ...

core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across the core services … Data Lake, OneLake, Fabric Warehouse Processing & ETL: Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines, Fabric, dbt Data management & metadata: Purview AI: Foundry, (including Agent Service), ML Data Product mentality : You build Data Products where every pipeline and dataset is discoverable, addressable and secure ...

Design and assess end-to-end solution architectures for enterprise-scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration. Apply AI tools and techniques to improve Solution Architecture practices including accelerating requirements analysis, pattern identification, data … OLAP, and the treatment of data as a technology asset. Knowledge of core Solution Architecture capabilities: Master and Reference Data Management, Data Quality, Metadata Management, Data Taxonomy, Data Integration, Data Migration, and Data Modeling. Demonstrated proficiency in AI, machine learning, or related techniques as applied to architecture or software engineering ...

policy, claims, finance, actuarial and regulatory use cases. Define security, privacy and regulatory requirements for data architecture, including data classification, access control, retention, lineage, metadata and information quality controls. Collaborate with business stakeholders, delivery teams and solution architects to capture data requirements, shape solution options and communicate risks, issues … tool-specific approaches. Prior experience of data model and data management design within delivery projects for underwriting, policy administration or claims applications. Experience defining metadata, lineage and data quality monitoring requirements within enterprise data platforms. Understanding of data security, privacy, access control and regulatory considerations relevant to enterprise and insurance ...

Principal Information Architect (Executive Director) at JPMorganChase and become a promoting force behind the development and adoption of cutting-edge, cloud-based technologies. Make metadata real, usable, and impactful in modern engineering. In this role, you’ll sit at the intersection of Information Architecture and Software Engineering—building models, languages … have room to grow your craft, deepen your technical breadth, and influence standards across a large, complex environment. As a Principal Information Architect, Metadata at JPMorganChase within the Commercial & Investment Bank, you will connect enterprise modeling and metadata practices to real software engineering assets and workflows. You will develop metamodels ...

across critical datasets used in operational and regulatory reporting. Translate governance and reporting requirements into actionable lineage deliverables (source-to-target mapping, lineage diagrams, metadata standards, and audit evidence). Work with Data Platform, Data Engineering, Architecture, Risk, Compliance, and Security teams to define lineage standards, metadata capture, and control … reporting controls, or data transformation programs (preferably in financial services). Core Skills & Experience Minimum 3 years of relevant experience in data governance, lineage, metadata management, or controls programs within finance/banking. Strong understanding of data lineage concepts: technical lineage, business lineage, column-level lineage, impact analysis, and provenance. ...