126 to 150 of 635 Permanent Metadata Jobs

transformation Design and implement data models and data warehouses Create data transformation recipes for warehousing-ready formats Document data models, architecture diagrams, schemas, and metadata Monitor and troubleshoot data pipelines to ensure timely data availability Collaborate with data science to integrate ML models and Gen-AI applications Demonstrate data literacy ...

Work with client business and technical teams to understand requirements and translate them into scalable cloud solutions. Establish best practices for data governance, security, metadata management, and data quality. Ensure compliance with enterprise security standards using IAM, encryption, audit logging, and networking best practices. Provide technical leadership, mentor development teams ...

Root cause analysis Energy optimization Production optimization Digital worker capabilities Intelligent alarm management Autonomous operations Establish frameworks for: Data governance Data quality Asset hierarchies Metadata management Industrial data models AI model lifecycle management Responsible AI in industrial environments Support sales and growth activities by: Shaping opportunities Developing proposals Leading client ...

dashboards, APIs, data feeds, monitoring and alerting capabilities, and self-service features.Collaborate with engineering and governance teams to establish data contracts, quality rules, lineage, metadata, ownership, access controls, retention, and monitoring.Maintain and prioritize the backlog using customer value, business impact, risk, dependencies, effort, and capacity.Coordinate delivery across Data Engineering ...

reason over, and act on enterprise data (with guidance on architecture and safety). Semantic Layers & Ontologies – Contribute to semantic models (metrics, definitions, and metadata) that make it easier for business users to query data consistently. LLM‐Powered Analytics – Prototype LLM‐enabled features for summarisation, insight narration, and conversational analytics ...

enrichment, focusing on the most critical data first and tracking the tangible ‘value-add’ with data consumers. \n Ensure Compliance & Transparency: Maintain complete metadata, data descriptions, and lineage while ensuring data is correctly classified, protected, and compliant with GDPR and internal security protocols. \n Manage Risk & Alignment: Engage with stakeholders ...

enrichment, focusing on the most critical data first and tracking the tangible ‘value-add’ with data consumers. \n Ensure Compliance & Transparency: Maintain complete metadata, data descriptions, and lineage while ensuring data is correctly classified, protected, and compliant with GDPR and internal security protocols. \n Manage Risk & Alignment: Engage with stakeholders ...

GenAI within a governed environment Ensure the platform supports secure access to structured and unstructured data, including client, matter, financial and document metadata Define and enforce data governance, quality and compliance, working closely with Risk, Privacy and Information Security teams Act as the primary business and leadership for the data ...

time to value. Co-build and hand off. Work alongside customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership ...

agents and business decision‐making. Consolidate, cleanse and structure information from Salesforce, event platforms, marketing systems and operational tools. Define practical data‐quality, metadata and governance standards for information used by Agent Factory. Identify trends, risks and commercial or operational opportunities within WWE datasets. Support secure, reliable data flows between ...

time to value. Co-build and hand off. Work alongside customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership ...

pricing, reference data, benchmarks, , performance, risk, sustainability). Familiarity with data platform concepts such as batch/stream processing, orchestration patterns, data lineage/metadata, and data quality monitoring. Experience working in Agile or hybrid delivery models (backlog refinement, sprint ceremonies, defining “definition of ready/done”). Exposure ...

technical debt across the data ecosystem. Own the Data as a Product Community of Practice and the standards that bind every Data Product: metadata and data contract specifications, output port and schema design, data product versioning, DQ requirements, SLA and SLO declarations, and semantic layer conventions Champion data quality, lineage ...

products that are discoverable, versioned, self-describing, and aligned with data mesh and product-centric principles Establish best practices for product design, schema management, metadata standards, lineage, and lifecycle governance Ensure data products are optimized for performance, scalability, reliability, and cost efficiency Promote consistency across product domains while enabling autonomy … Technical Leadership & Standards Serve as a senior technical authority for data product architecture across the program Define architectural best practices for Delta Lake design, metadata management, product lifecycle governance, and data quality controls Provide architecture assurance and design reviews for data products developed by internal and third-party teams Guide ...

analytics objectives. Key Responsibilities Define and maintain enterprise data architecture standards and roadmap Develop target-state data architecture and transformation strategy Drive data governance, metadata, data quality, and master data capabilities Provide architectural leadership across analytics and reporting initiatives Work closely with business stakeholders to align data strategy with organisational ...

hands‐on experience with IBM Cognos Analytics . Strong experience in Cognos Development and Administration . Cognos report development and troubleshooting. Framework Manager/metadata modelling knowledge. Cognos security, users, groups, roles, and permissions. Report scheduling, jobs, deployments, and environment management. Performance monitoring and troubleshooting. Strong SQL and relational database ...

Factory and Snowflake. • Experience with scripting languages such as Python, R, or JavaScript (React). • Familiarity with Informatica Data Quality (IDQ), Address Doctor, and Metadata Manager. • Experience with Medicaid, Medicare, or healthcare data systems. • Experience working in Agile environments. • Knowledge of BI and data integration technologies across relational and multidimensional ...

with AI Engineering Leads, Data Engineers and client architects to ensure solutions align with enterprise standards and constraints. Define data governance, data quality and metadata practices required to support trusted analytics and AI. Provide architectural oversight across programmes, reviewing designs and guiding trade‐off decisions. Evaluate and recommend data ...

models. Shaping modern data platforms, integrations and enterprise data flows. Supporting trusted reporting, analytics, automation and appropriate AI use cases. Embedding data quality, security, metadata, lineage and lifecycle requirements. Providing architecture leadership and assurance across complex change initiatives. Mentoring technical colleagues and improving data architecture capability. What we are looking ...

distributed data processing such as Spark, streaming systems) Data Platforms: cloud-native architectures, data lakes, data warehouses Data Management: data modelling, integration, governance, and metadata systems Applied Data Science: statistical modeling, exploratory data analysis, and visualization Reproducible Data Workflows: versioning, documentation, and research data management Experience in the successful acquisition ...

preferred) Track record managing complex, multi-stakeholder engagements Must-Have Knowledge GDPR, DPDP Act, CCPA/CPRA, HIPAA — practical application Data classification frameworks and metadata management Cloud-native data architectures and hybrid environments Certifications (Preferred) BigID Certified Professional CIPP/E, CIPM (IAPP) Soft Skills Exceptional client communication — written, verbal ...

handling effective and compliant, meeting regulatory requirements for storage, retention, deletion and classification Contribute to the Electronic Document Management System, ensuring effective structure and metadata, compliant access controls, reporting and operational oversight Support effective data governance across the business, including policies, standards and procedures Establish and enforce data quality standards ...

plan Acts as an owner of at least one contact center data subject area, serving as the main contact point for data requests, metadata, and statistical analyses Serves as the liaison between Mosaic and the Contact Center Planning team, developing new data sources and overseeing enhancements to existing databases. Works ...

designing scalable batch/stream processing patterns. Deep lakehouse and data platform expertise(e.g., Delta Lake concepts, schema evolution, data quality frameworks, lineage/metadata, and governance patterns) applied in production environments. Strong DevSecOps and platform engineering capability, including CI/CD design, automated security/quality gates, observability (logs ...

platform codebase where appetite and skill allow Keep QA coverage current as new views and data sources are onboarded — updating baselines, refreshing metadata, and extending test coverage without being asked Engage with AI agents for test authoring, investigation, result analysis, and documentation — working fluently in an AI-augmented engineering environment ...