276 to 300 of 658 Metadata Jobs

other stakeholders. Drive adoption of new digital tools and processes through training, change management, and stakeholder engagement. Define appropriate access models, data governance, metadata standards, and controls for sensitive engineering and environmental information. Coordinate delivery across internal teams, suppliers, and system integrators. Monitor service performance, risks, technical debt, capacity ...

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 ...

change across the portfolio - versioning, deprecation, consumer communication, and migration support Ensuring products meet governance, quality, and regulatory standards with clear ownership, lineage, and metadata What You'll Be Doing Own a portfolio of data products within a specific domain, which could be Customer Data for example. Working on exciting ...

change across the portfolio - versioning, deprecation, consumer communication, and migration support Ensuring products meet governance, quality, and regulatory standards with clear ownership, lineage, and metadata What You'll Be Doing Own a portfolio of data products within a specific domain, which could be Customer Data for example. Working on exciting ...

Cloud Cost OptimizationOwn FinOps strategy, governance, and cultural adoption across engineering and operations teams.Implement FinOps capabilities: Cost allocation & chargeback/showbackBudgets, forecasting, unit economicsTagging & metadata standardsDiscount strategy (Committed Use Discounts, RIs, Savings Plans)Cloud cost anomaly detection and reportingDevelop cost‐efficient architectures including right‐sizing, autoscaling, egress optimization, and storage ...

role leading organisational change and implementing Data Governance and Data Quality initiatives within a complex business Robust working knowledge and understanding of Data Quality, Metadata, Master Data and Data Lifecycle Management Proven experience with formulating Data Quality standards, guidelines and rule logic Familiarity with Regulatory Frameworks (E.g. GDPR ...

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.Required qualifications, capabilities ...

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. ...

Manager supporting Content Acquisition Managers. In this role, you will be responsible for, among other tasks, translating complex agreements with content providers into standardized metadata, managing vendors, working closely with the content acquisition team and building trustworthy processes to streamline content operations.The Program Manager should be fluent in English, have ...

design to delivery of services and user interfaces all via public cloud. Job responsibilitiesLeads the engineering of cutting-edge solutions in the areas of metadata, meta-modelling and distributed systems.Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions ...

delivery of services and user interfaces all via public cloud. Job responsibilities Leads the engineering of cutting-edge solutions in the areas of metadata, meta-modelling and distributed systems. Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions ...

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 ...

Validate monitoring coverage prior to each migration wave. Logging & Trace Management Review and standardise centralised logging across all migrated environments. Ensure consistent log formats, metadata, correlation IDs, and traceability across systems. Validate log ingestion, retention policies, indexing, and search performance. Ensure operational teams can rapidly investigate incidents using correlated logs ...

Validate monitoring coverage prior to each migration wave. Logging & Trace Management Review and standardise centralised logging across all migrated environments. Ensure consistent log formats, metadata, correlation IDs, and traceability across systems. Validate log ingestion, retention policies, indexing, and search performance. Ensure operational teams can rapidly investigate incidents using correlated logs ...

strategic wins Data & AI Architecture Leadership Define reference architectures and principles aligning Human, AI, Technology and Execution Intelligence Set best practice for data governance, metadata, information architecture and quality Develop AI operating models and Responsible AI frameworks Shape MissionHub's architectural direction and evaluate emerging technologies for the firm ...

extraction, decision support, and intelligent content understanding.Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline.Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings ...

approaches for AI-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 ...

Hudl’s platform.As a Senior Engineer, you’ll help shape the technical direction of the Global Sports Library (GSL), the backbone that connects identities, metadata and game context across Hudl products. You’ll design and evolve APIs, distributed systems and large-scale data pipelines that ensure Hudl products operate from ...

/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 RustImplement alerting ...

extending them—such as modifying data augmentation strategies, adjusting FFT parameters, incorporating auxiliary tasks, and optimizing loss functions.Experience with data-driven algorithm tuning using metadata evaluations and advanced acoustic simulations is highly desirable.Your Contribution:We welcome a broad range of expertise, and while our requirements aim to inspire interest ...

hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real‐time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology ...

hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation.This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define ...

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 ...

quality software delivery. In this role, you will work closely with data governance, architecture, technology, risk, compliance and business teams to translate complex regulatory, metadata and technology requirements into robust data models, reusable design patterns and platform-ready solutions. What You'll Do Design, enhance and maintain enterprise asset models … Collibra, aligned with data governance, metadata management, regulatory and technology risk requirements. Define and configure Collibra asset types, relationships, attributes, communities, domains, responsibilities, workflows, roles and operating models. Develop high-quality Python solutions for data modelling and governance use cases, using Pydantic for schema definition, validation, serialization, configuration-driven models ...

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.• Provide product-owner challenge to ensure data models are fit for business purpose, support cross-asset analytics, and can scale … 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 CIBC policies, standards, regulatory expectations and industry good practice.**Strategic Data Source Determination**• Identify, assess and recommend strategic internal and external data sources ...