1 to 25 of 159 Metadata Management Jobs

Senior IT Systems Solution Architect - Metadata Management/Data Quality Location: Redstone Arsenal, Huntsville, AL Job Title: Senior Information Technology (IT) Systems Solution Architect (Metadata Management/Data Quality) Duty Location: Logistics Data Analysis Center (LDAC), Redstone Arsenal, Huntsville AL Clearance Level (Must Have): Active DoD - Secret Required Certifications (Must Have): None Salary … Job Description: The Senior IT Systems Solution Architect (Metadata Management/Data Quality) serves as the senior subject matter expert associated with content, processes and procedures associated with ERP systems. Defines the detailed requirements, analyzes the business needs, and validates solutions with the client. Details requirements through the product development and other functions to support the project team. … the project needs. Performs detailed job analysis of business processes and provides an interface between traditional logistical support organizations and functional requirement definitions. The Senior IT Systems Solution Architect (Metadata Management/Data Quality) must demonstrate the following: • Excellent organizational, analytical, written and oral communication skills. • The ability to prioritize and multi-task in a fast-paced environment. More ❯

Admiral is on an exciting journey to mature its Data Management across the business, so we are looking for a Data Governance Business Partner to support the implementation of Data Management Activities. You will play a critical role in delivering Data Governance capabilities, working within our focussed Data Governance Team, with support from Data Governance Specialists and the … Data Governance Manager. The Data Governance team sits within the Data Enablement Services Department in Admiral. Data Enablement Services Department comprises key teams, including Data Governance, Metadata Management, Data Quality Management, Customer Master (MDM), and Records Management. Data Enablement Services work closely together to achieve a common goal of improving Admirals Data Maturity. This is an exciting … governance requirements. You will drive data enablement and increase data literacy across the business, seeking to reduce data risk where possible. Main Duties Support the implementation of the Data Management Strategy that enables the achievement of overall business ambitions and outcomes. Support the implementation of the Accountability Framework including the maturity of Business Data Domains and accountability roles. Work More ❯

blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the … will play a pivotal role in ensuring data integrity, security, compliance, and usability across the enterprise while driving data quality, consistency, and maturity through a robust data asset lifecycle management solution. Collaborating with cross-functional teams, including IT, legal, analytics, and business units, the Data Governance Lead will establish and enforce governance policies and best practices that align with … across the organization by communicating their benefits and relevance. Serve as a thought leader, staying informed about emerging trends and technologies in data governance. Data Ownership, Stewardship, and Lifecycle Management Define and assign roles, including data owners and data stewards, ensuring accountability for data assets. Provide guidance and support to data stewards and other governance roles across the organization. More ❯

We are handpicking a strong and personable Data Governance Analyst to help lay the foundation for enterprise data governance by supporting the development and early adoption of practices across metadata management, data quality, stewardship, and catalog enablement. The ideal candidate is a strong communicator and collaborator, eager to help build a culture of trusted, well-managed data from … functional teams to introduce consistent governance approaches, assist in establishing data product oversight, and promote data literacy and accountability throughout the organization. MUST HAVES: Bachelor's degree in Information Management, Data Science, Business Administration, or a related field. 5+ years of experience in data management, governance, or metadata operations. Data Quality Oversight Support development of data quality … standards and KPIs. Collaborate with engineering and analytics teams to embed trust indicators into pipelines Ensure glossary terms, ownership, and technical metadata are complete and accurate Stewardship & Ownership Mapping Assist in defining and tracking Critical Data Elements (CDEs). Help operationalize ownership across domains Governance Checkpoints in Data Lifecycle Embed governance controls from design to decommissioning of data products. More ❯

Join us as a Data Modeller - Contract 6 months - Inside IR35 - Banking · Working closely with our business analysts and data management specialists, you'll translate data requirements into structured representations of data using data modelling tools · You'll participate in data design review workshops, and you'll have ownership of data design and data models across different areas · This … to data quality investigations. You'll also support subject matter experts and data owners in managing content. As well as this you'll: · Collaborate with business analysts and data management specialists to translate data requirements to successfully build a 360 view of a customer · Great at creating succinct models that summarise complex detailed relationships · Take ownership for data modelling … Adopt the enterprise data model and standards · Identify and mitigate potential data risks The skills you'll need We're looking for a someone with strong collaboration and stakeholder management skills and experience in data modelling or data architecture. Along with excellent analytical and problem-solving skills, you'll have knowledge of conceptual, logical, and physical data modelling. You More ❯

We're looking for a technical steward of enterprise metadata assets , ensuring governance, quality, and regulatory compliance across complex data landscapes. You will be the subject matter expert for data cataloguing, metadata synchronisation, and stewardship best practices. helping us build a trusted foundation for AI, analytics, and digital transformation. What You'll Do Metadata Curation & Governance Define … and implement enterprise metadata standards, business glossaries, and classification schemas. Establish data quality KPIs, SLAs, and governance metrics. Build automated discovery workflows to enable self-service analytics. Champion adoption of governed data assets across business and technical teams. Technical Stewardship Configure cross-platform metadata synchronisation between Alation, Databricks (Unity Catalog) , and downstream systems. Implement schema registries, data contracts … and API-first data governance. Ensure compliance with GDPR, CCPA, SOX, and industry regulations. What We're Looking For Technical Metadata Management Expertise 5+ years in enterprise metadata management and data governance. Proven experience with data lineage mapping, quality assessment, and master data management. Strong track record of curating and synchronising metadata across distributed platforms. More ❯

Overview Data Technology group in MSCI is responsible to build and maintain state-of-the-art data management platform that delivers Reference. Market & other critical datapoints to various products of the firm. The platform, hosted on firms' data centers and Azure & GCP public cloud, processes 100 TB+ data and is expected to run 24 7. With increased focus on … is committed to provide self-serve tools to our internal customers. Responsibilities Implement & Maintain Data Catalogs: Deploy and manage data catalog tool Collibra to improve data discoverability and governance. Metadata & Lineage Management: Automate metadata collection, establish data lineage, and maintain consistent data definitions across systems. Enable Data Governance: Collaborate with governance teams to apply data policies, classifications … documentation, and continuous support. Cross-Team Collaboration: Work closely with data engineers, analysts, and stewards to align catalog content with business needs. Tooling & Automation: Build scripts and workflows for metadata ingestion, tagging, and monitoring of catalog health. Leverage AI tools for automation of cataloging activities Reporting & Documentation: Maintain documentation and generate usage metrics, ensuring transparency and operational efficiency. Qualifications More ❯

Below are some of the key essential experience, skills & knowledge required for this post: Lead Criterion 1: Five years of experience in leading data governance, data protection, or data management activities, ideally within the public sector or a complex organisational environment. Lead Criterion 2: Experience in developing and embedding the use of Purview throughout an organisation to support governance … with organisational strategy, with a strong understanding of how data governance supports overall organisational objectives. Significant experience in leading on, defining and implementing data governance principles, including data quality management, metadata management, master data management, and data lifecycle management. Proven experience in leading on and developing data standards and establishing robust data governance frameworks, including boards More ❯

opportunity to lead from the front. Key Responsibilities Lead complex agile consulting projects focused on data architecture design and delivery Advise technology leaders on modern best practices in data management Develop cloud-based enterprise data platforms using AWS, Azure, or GCP Define services and frameworks that enable efficient, scalable, and secure data management Contribute to internal IP and … data strategies and governance Deep knowledge of contextual, logical, and physical data modelling Hands-on experience with cloud data migration and architecture (AWS, Azure, or GCP) Strong grasp of metadata management, data privacy/security frameworks, and cloud ecosystem best practices Financial services project experience preferred, with stakeholder-facing communication skills Comfortable operating across complex environments, leading multiple … patterns Familiarity with data cataloguing, classification, and semantic/graph modelling Exposure to ESG data, risk/compliance platforms, or financial crime data architectures An understanding of cloud cost management, automation, and network architecture Tech Domains Cloud Platforms: AWS, Azure, GCP Data Management: Metadata tools, privacy frameworks, security architecture Modelling: ER, Contextual, Semantic, Logical/Physical Orchestration More ❯

lead governance forums, influence outcomes, and promote ownership principles. Organized, proactive, pragmatic, with effective prioritization skills. Collaborative mindset to break silos and foster shared understanding. Background in enterprise data management, metadata management, or MDM. Understanding of data modelling, architecture, or analysis. Experience in project or programme management, especially in transformation contexts. The extras you'll get More ❯

architectures, and provide assurance across all stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance. You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies (e.g. NHS England … AI solutions that span data integration, analytics, AI/ML and interoperability. Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices. Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals. Advising clients on product and technology selection … tools and techniques that improve the quality and impact of our Data and AI proposals and delivered solutions. Promoting a culture of experimentation and improvement within the team. People management Leading, motivating and empowering individuals within the Data and AI practice, creating a positive, high-performing culture where people can grow. Mandatory requirements: Experience working as a Data or More ❯

will design and implement an Enterprise Data solution to drive data-driven decision making, optimize reporting accuracy and improve operational efficiency. • Serve as the subject matter expert on data management, emerging technologies, and market trends, advising leadership on best practices. • Communicate effectively with end-users, support staff, management, and other departments on all data-related initiatives. • Establish and … maintain metadata management, data lineage, and cataloging to enhance discoverability and usability across the organization. • Assist other teams with the integration, implementation, and troubleshooting of projects involving local, cloud, and hybrid network services. • Develop disaster recovery and business continuity plans to protect data assets and ensure high availability • Exercises independent judgment in the planning, scheduling, organizing, controlling, and … in relational and non-relational databases, including Oracle, MS SQL, and modern cloud-based solutions (Snowflake, Redshift, etc.) • 7 to 10 years of experience with enterprise data architecture, database management, and data engineering • Proven experience leading a data transformation project(s) from concept to delivery • Deep understanding of SQL, query optimization, and performance tuning • 7+ years of database design More ❯

instances requiring flexibility to work beyond standard hours, making proximity to the office important. Job Duties and Responsibilities Develop, implement, and maintain enterprise-wide data governance and cloud data management practices in partnership with the Global Director of Digital Transformation & IT Center of Excellence, ensuring alignment with business objectives and data standards. Collaborate with key business and IT teams … privacy, security, compliance, and ethical use, under the guidance and approval of the Director. Coordinate with Information Governance and Cybersecurity teams to align with regulatory requirements and broader risk management strategies. Maintain documentation such as systems of record, business logic, data flow diagrams, and technical configurations to support data integrity and architectural consistency. Execute data quality processes such as … lineage, validation, and control to ensure data integrity and consistency across platforms. Lead the integration, management, and optimization of data movement across cloud-to-cloud, cloud-to-on-premise, and on-premise-to-on-premise environments, under the guidance of the Director. Serve as the subject matter expert for data architecture and governance, providing technical expertise to support data More ❯

alignment with overall transformation goals and long-term business objectives. Lead or assure the design of the data elements of systems and solutions, including database structures, file systems, schemas, metadata models and data flows. Establish and promote standards for data quality, integrity and lineage, ensuring there are clear methods for their measurement and improvement. Ensure compliance with architectural principles … cloud services - while supporting real-time, transactional and analytical use cases. Experience in data modelling across conceptual, logical and physical layers, coupled with a strong grasp of data standards, metadata management, master data management and data stewardship frameworks. Understanding of data lifecycle management, from ingestion and processing to archival and destruction, alongside fluency in modern analytics More ❯

Framework Development : Design and implement a data governance framework that aligns with MSC objectives, establish data ownership, stewardship, and custodian roles, and chair relevant Data Governance fora. Data Quality Management : Work with IT and data teams to design and implement data quality strategies and standards, develop and enforce data quality policies, and monitor data quality. Policies and Procedures : Develop … maintain, and communicate data governance policies, standards, and procedures, ensure documentation is up-to-date, and provide training and support to staff. Compliance and Risk Management : Working closely with existing subject matter experts, ensure compliance with relevant regulations (e.g., GDPR), ensuring our data governance strategy has appropriate focus on data security and privacy measures, whilst identifying and mitigating data … related risks. Data Lifecycle Management : Oversee the entire data lifecycle, define and maintain data standards, and implement best practices for data retention and disposal. Change Management : Lead the cultural and operational transformation required to embed data governance principles, develop and execute change management strategies, and facilitate communication and training initiatives. AI Enablement : Support the responsible use of More ❯

of eLearning modules with Articulate or Captivate. • Legal training experience a plus. • Advanced knowledge of Microsoft Office 2016 in addition to other relevant legal applications (time recording systems, expense management systems, metadata management systems, document comparison systems, workflow management systems, electronic signature systems, PDF converters). • Proficiency in iManage document management system applications (FileSite, iManage More ❯

of eLearning modules with Articulate or Captivate. * Legal training experience a plus. * Advanced knowledge of Microsoft Office 2016 in addition to other relevant legal applications (time recording systems, expense management systems, metadata management systems, document comparison systems, workflow management systems, electronic signature systems, PDF converters). * Proficiency in iManage document management system applications (FileSite, iManage More ❯

world's toughest challenges in the defense, intelligence, civil, and health markets. Client' Digital Modernization group helps the government modernize operations with leading edge AI/ML driven data management and analytics solutions. We are a trusted partner to both government and highly-regulated commercial customers looking for transformative solutions in mission IT, security, software, engineering, and operations. We … propose new approaches and solutions to meet client needs. Incorporate and drive best practices in cloud based data infrastructure, data architecture, data quality assurance, data security, data standards, data management, data governance, data engineering, performance optimization, reporting, and analytics. Collaborate with the client to maintain technical roadmap, ensuring incorporation of latest tools and technologies such as Generative AI. Ensure … appropriate project knowledge management and documentation. Manage training, knowledge transfer, and support to client data management team and users. For this position, you must possess : At least a Bachelor's degree in a relevant field and 12+ years of prior experience. 8+ years of experience leading a Microsoft Azure cloud based data analytics team. Demonstrable ability to communicate More ❯

propose new approaches and solutions to meet client needs. • Incorporate and drive best practices in cloud based data infrastructure, data architecture, data quality assurance, data security, data standards, data management, data governance, data engineering, performance optimization, reporting, and analytics. • Collaborate with the client to maintain technical roadmap, ensuring incorporation of latest tools and technologies such as Generative AI. • Ensure … appropriate project knowledge management and documentation. • Manage training, knowledge transfer, and support to client data management team and users. For this position, you must possess: • At least a Bachelor's degree in a relevant field and 12+ years of prior experience. • 8+ years of experience leading a Microsoft Azure cloud based data analytics team. • Demonstrable ability to communicate … are a plus: • Power BI and Microsoft Azure data analytics related certifications. • Experience delivering GenAI and AI/ML outcomes. • Experience supporting data governance, including data catalogs, business glossaries, metadata management • Experience with Design Thinking and Human Centered System One, and its subsidiaries including Joulé, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and More ❯

data models, and data integration strategies. Ensuring data architecture solutions are secure, scalable, and high performing, adhering to enterprise standards and best practices. Leading technical efforts in data quality, metadata management, data cataloguing, and governance (including Unity Catalogue if applicable). Providing technical guidance to junior engineers and analysts in the adoption of modern data architecture patterns. Evaluating More ❯

and identifying opportunities to drive innovation. What you'll bring Proven experience in data architecture, data modelling, and enterprise data strategy. Strong understanding of data governance, data quality, and metadata management. Experience designing data solutions across operational and analytical systems. Excellent stakeholder engagement and communication skills. A passion for innovation and continuous improvement in the data space. Tech you … ll work with Cloud & Data Platforms: Azure Synapse, Azure Data Lake, Azure Data Factory Data Modelling & Integration: SQL, ETL tools, data pipelines Architecture & Governance: Enterprise data models, data catalogues, metadata management Collaboration & Documentation: Agile delivery, architecture documentation, stakeholder workshops Why This Role? You'll be joining a forward-thinking team where data is central to decision-making and More ❯

clients, ensuring client satisfaction through well thought out solutions with longevity in mind. · Quality Assurance & Best Practice: Establish and enforce data engineering standards, best practice, reusable frameworks. Quality assurance management through data engineering pipelines, ensuring both quality and performance of solutions. · Continuous Improvement: Stay up to date with the latest developments in technology changes within respective field/and … medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs. Experience with infrastructure as code, proficiency using tools such as Terraform … or retail, which can help tailor data solutions more effectively to client needs.· Experience in building PowerBI semantic models for downstream visualisation consumption · Knowledge and or experience in data management tools such as Azure Purview or Collibra, with exposure to data cataloguing, lineage, and data quality standards. A bit about youWe have a strong ethos of accountability, quality and More ❯

the world's toughest challenges in the defense, intelligence, civil, and health markets. Client Civil Group helps the government modernize operations with leading edge AI/ML driven data management and analytics solutions. We are a trusted partner to both government and highly-regulated commercial customers looking for transformative solutions in mission IT, security, software, engineering, and operations. We … scripts to Azure Data Factory and Synapse Pipelines. • Identify, create, prepare data required for advanced analytics, visualization, reporting, and AI/ML. • Implement data migration, data integrity, data quality, metadata management, and data security functions to optimize data pipelines. • Monitor and troubleshoot data related issues to maintain high availability and performance. • Implement governance, build, deployment and monitoring to More ❯

of data from various source systems - on-premise and cloud. You will be involved in exciting projects - analyzing requirements from the business departments (e.g., Finance & Controlling, Product Development, Quality Management), developing technical concepts based on these requirements, and implementing them in scalable solutions. As part of an agile Product Team, you will help enable data-driven decisions and accompany … innovation and offers space for new ideas. To unlock your full potential with us, it would be great if you bring A degree in business informatics, data engineering, data management or a comparable qualification. Several years of experience in data engineering, ideally with a focus on Databricks and Azure. (SQL Server, SSIS, SSAS, Power BI desirable) Initial practical experience … design, dbt, Airflow. Experience with Infrastructure as Code (Terraform), CI/CD (GitHub), and monitoring (e.g., Datadog, Grafana, Prometheus). Understanding of data governance, Unity Catalog, cost monitoring, and metadata management are an advantage. Initial experience with Jira and Confluence is desirable. Strong communication skills, team orientation, and an agile way of working. You are a team player More ❯

of data from various source systems - on-premise and cloud. You will be involved in exciting projects - analyzing requirements from the business departments (e.g., Finance & Controlling, Product Development, Quality Management), developing technical concepts based on these requirements, and implementing them in scalable solutions. As part of an agile Product Team, you will help enable data-driven decisions and accompany … innovation and offers space for new ideas. To unlock your full potential with us, it would be great if you bring A degree in business informatics, data engineering, data management or a comparable qualification. Several years of experience in data engineering, ideally with a focus on Databricks and Azure. (SQL Server, SSIS, SSAS, Power BI desirable) Initial practical experience … design, dbt, Airflow. Experience with Infrastructure as Code (Terraform), CI/CD (GitHub), and monitoring (e.g., Datadog, Grafana, Prometheus). Understanding of data governance, Unity Catalog, cost monitoring, and metadata management are an advantage. Initial experience with Jira and Confluence is desirable. Strong communication skills, team orientation, and an agile way of working. You are a team player More ❯