16 of 16 DAMA DMBOK Jobs in London

of Data Strategy, Data Management, and Data Analytics principles, and desirably knowledge of one or more of several common Data Management methodologies and capability models (e.g. DAMA DMBOK, DCAM, CDMC) and toolsets Experience working in the energy or utilities sector and an understanding of associated datasets Extensive experience designing and implementing new data management capabilities, or driving More ❯

one or more data and AI platforms (e.g. Google Cloud Platform; Amazon Web Services; Microsoft Azure) and Knowledge of data management and governance standards, such as DAMA-DMBoK, CMMI and DCAM. Strategic Thinking: Capability to provide strategic direction on data strategy, guiding senior leaders in aligning data initiatives with organisational objectives. Stakeholder Management: Strong stakeholder engagement skills More ❯

ability to implement data governance frameworks, ownership models, and quality improvement plans. · Familiarity with key data regulations and standards (e.g., GDPR, CCPA, BCBS 239, ISO 8000, DAMA DMBOK). · Working knowledge of data quality metrics, metadata management, and stewardship practices. · Experience facilitating data forums or councils and shaping policy and data standards collaboratively. · Certifications such as CDMP More ❯

ability to implement data governance frameworks, ownership models, and quality improvement plans. ·Familiarity with key data regulations and standards (e.g., GDPR, CCPA, BCBS 239, ISO 8000, DAMA DMBOK). ·Working knowledge of data quality metrics, metadata management, and stewardship practices. ·Experience facilitating data forums or councils and shaping policy and data standards collaboratively. ·Certifications such as CDMP More ❯

execution, while adhering to data governance principles. Technical Acumen: Strong understanding of data architecture, data modeling, data integration, data warehousing concepts, and data governance frameworks (e.g., DAMA-DMBOK). Technical Skills (Preferred): Experience with MDM and data cataloging tools, data modeling tools, cloud platforms (e.g., AWS, Azure, GCP), and data transformation tools (e.g., dbt ). Cross-Functional More ❯

execution, while adhering to data governance principles. Technical Acumen: Strong understanding of data architecture, data modeling, data integration, data warehousing concepts, and data governance frameworks (e.g., DAMA-DMBOK). Technical Skills (Preferred): Experience with MDM and data cataloging tools, data modeling tools, cloud platforms (e.g., AWS, Azure, GCP), and data transformation tools (e.g., dbt ). Cross-Functional More ❯

this role: Experience with architecture frameworks and languages (such as TOGAF, ArchiMate and UML); An appreciation of Data Governance and Management frameworks (such as Data Management Body of Knowledge (DMBOK) or similar); An awareness of current technologies and approaches related to data and analytics capabilities, such as data virtualisation, data fabric and data mesh; Experience with architecture tooling, such More ❯

and management practices. A flexible, consulting-oriented mindset. Familiarity with architecture frameworks and languages, such as TOGAF, ArchiMate, and UML. Knowledge of data governance and management frameworks, such as DMBOK or similar. Awareness of current data and analytics technologies, including data virtualisation, data fabric, and data mesh. Experience with architecture tools, such as BiZZdesign, Archi, or Sparx EA. A More ❯

compliance requirements. Experience with data management tools and governance platforms. Strong analytical skills to turn strategy into deliverables and measurable results. Preferred Qualifications: Relevant certifications (e.g., DAMA-DMBOK, DGSP). Proven ability to lead governance programs in a dynamic and fast-evolving environment. Hands-on experience with tools such as Informatica. More ❯

compliance requirements. Experience with data management tools and governance platforms. Strong analytical skills to turn strategy into deliverables and measurable results. Preferred Qualifications: Relevant certifications (e.g., DAMA-DMBOK, DGSP). Proven ability to lead governance programs in a dynamic and fast-evolving environment. Hands-on experience with tools such as Informatica. More ❯

and extensive understanding of Data Strategy, Data Management, and Data Analytics principles, and one or more of several common Data Management methodologies and capability models (e.g. DAMA DMBOK, DCAM, CDMC) and toolsets • Deep understanding of the end-to-end data ecosystem (e.g. Data Architecture, Data Engineering, Data Analytics, Data Privacy & Security) and cross-capability interactions • Experience defining More ❯

and extensive understanding of Data Strategy, Data Management, and Data Analytics principles, and one or more of several common Data Management methodologies and capability models (e.g. DAMA DMBOK, DCAM, CDMC) and toolsets Deep understanding of the end-to-end data ecosystem (e.g. Data Architecture, Data Engineering, Data Analytics, Data Privacy & Security) and cross-capability interactions Ability to More ❯

you'll need: Proven experience in data governance or regulatory policy writing within financial services or similar regulated industries. Strong understanding of data governance frameworks (e.g., DAMA DMBOK, DCAM). Ability to translate technical concepts into clear policy documents for diverse audiences. Excellent stakeholder engagement and coordination skills. Familiarity with data management principles, including data quality, metadata More ❯

Performance Indicators for senior leadership. The Individual To be successful in this role you have good understanding of data governance principles, frameworks, and best practices (e.g., DAMA DMBOK). You will have proficiency in data governance tools and platforms (e.g., Collibra, Informatica, Alation). You will have an understanding of commercial insurance operations, including underwriting, claims, and More ❯

Informatica data catalog, Google dataplex data catalog, AWS DataZone Experience working in highly complex environments with senior stakeholders under challenging deadlines Familiarity with industry standards such as MISMO, DCAM, DMBOK Collibra Solution Architect certification or equivalent Basic skills in Java or Groovy development Good knowledge of APIs and integration techniques Strong verbal and written communication, presentation skills What We More ❯

in developing data lakes and platforms for technology teams within project environments Exposure to data management frameworks such as EDM Council’s DCAM or CDMC or DAMA DMBOK Experience in deploying PaaS solutions, API’s, and Infrastructure as Code with knowledge of Azure and GCP Excellent Scripting Skills (PowerShell, Shell and Python) Excellent analytical and problem-solving More ❯