1 to 25 of 26 DAMA DMBOK Jobs in the UK

and standards implementation, MDM among others. You will lead efforts to assess the maturity of clients’ data & AI capabilities through a variety of methods, using frameworks such as DAMA (Data Management Body of Knowledge) and DCAM (Data Management Capability Assessment Model). Your strategic guidance will empower organisations to optimise their data capabilities and drive continuous improvement. You … 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. Domain Expertise: Extensive knowledge of the data technology landscape, including data management tooling and platform capabilities, such as Informatica and Collibra. Additionally, demonstratable proficiency with industry … standard data management and governance frameworks, such as DAMA-DMBOK, CMMI, and DCAM, is highly desirable. Professional Certifications: Industry-recognized certifications and designations, such as Certified Data Management Professional (CDMP), Project Management Professional (PMP), The Open Group Architecture Framework (TOGAF), Information Technology Infrastructure Library (ITIL), and Cloud certifications (e.g., Azure, AWS). Stakeholder Management: Strong stakeholder engagement More ❯

Master’s degree in Data Science, Information Systems, or a related field. b. Relevant certifications (e.g., AWS Certified Data Analytics, Microsoft Certified: Azure Data Engineer, or DAMA-DMBOK). 2. Industry-Specific Experience a. Experience in large-scale data migration or conversion projects in industries such as healthcare, finance, or manufacturing. 3. Technical Expertise a. Proficiency in More ❯

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 ❯

strategic and implementation consultancy in areas like Data Governance, Data Ethics, Data Modelling, Data Architecture, Data Quality, and MDM. Assessing clients' data maturity using frameworks like DCAM and DAMA, through qualitative and quantitative analysis. Building trusted client relationships to address key data management challenges. Advising on maximising data-driven insights for business decisions, including best practices and emerging … experience and ambition. Proficiency in data disciplines: quality, security, governance, metadata management, data lineage, taxonomies, cataloguing. Knowledge of data tools like Informatica, Collibra, and frameworks like DAMA-DMBOK, CMMI, DCAM. Strategic thinking to align data initiatives with organisational goals. Strong stakeholder engagement skills. Effective communication and supporting upskilling efforts. Commitment to continuous learning about data strategies and More ❯

and standards implementation, MDM among others. You will conduct assessments of clients' data maturity against industry standards using frameworks such as DCAM (Data Management Capability Assessment Model) and DAMA (Data Management Body of Knowledge), leveraging both qualitative and quantitative analysis. You will cultivate trusted client relationships, collaborating to address key challenges in data management, analytics, and AI delivery. … including knowledge of data management tooling and platform capabilities, such as Informatica and Collibra. Additionally, familiarity with industry-standard data management and governance frameworks, such as DAMA-DMBOK, CMMI, and DCAM, is highly desirable. Strategic Thinking: Ability to provide strategic guidance on data management, assisting senior leaders in aligning data initiatives with organizational goals and CDO objectives. More ❯

to work with large datasets and conduct detailed analysis. •Experience of ETL processes. •Familiarity with data privacy and protection regulations (e.g. GDPR, CCPA). •Certification in DAMA DMBOK, CDMP, or equivalent is an advantage. Preferred: •Certification in DAMA DMBOK, CDMP, or equivalent is an advantage. •Purview, understanding of key features, capabilities, and best practices. 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 ❯

regulatory requirements in the insurance industry, such as GDPR, Solvency II, and IFRA 17. Familiarity with data governance and data quality frameworks and standards, such as DAMA-DMBOK and ISO8000. Previous experience of building, articulation and management of a Data Risk Profile and operating model. Knowledge of data privacy and data protection laws and regulations, and experience 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

experience with Databricks and/or Microsoft Azure data services (e.g., Data Lake Storage, Synapse, Purview, Azure Data Factory). Strong understanding of data governance frameworks such as DAMA-DMBOK. Familiarity with data privacy, security, and compliance regulations. Preferred: Certifications in Azure (e.g., Azure Data Engineer, Azure Fundamentals) or Databricks (e.g., Lakehouse Fundamentals). Experience with governance tools More ❯

maintain a modern data infrastructure, including Snowflake data lake, Informatica for MDM & DQ and Power BI. Ensure infrastructure is scalable and data quality is maximised in line with DAMA’s framework Partner with the CFO and Director of Commercial Finance to develop the data strategy and guide them on roadmap implementation. You will have the opportunity to grow … data leadership role within a private equity-backed organisation. Extensive knowledge of data governance, quality, and master data management (MDM) frameworks, including DAMA principles (DAMA-DMBOK). Hands-on technical ability across a modern data architecture, including Snowflake, Power BI and Informatica, or another ELT toolset (E.g., Talend, Fivetran). Experience implementing a data strategy More ❯

landscape, Oracle, PostgreSQL, etc.). Industry certifications in professional data management, cloud platforms (AWS, Azure, GCP), metadata management, or database administration (e.g., Microsoft Certified: Azure Data Engineer Associate, DAMA CDMP) are desirable. Proven experience with ETL tools, data integration, and API-based data exchange. Strong background in data governance, data quality management, and metadata management. Experience with ServiceNow … non-relational database architectures, indexing strategies, and performance tuning. Strong analytical and problem-solving skills for troubleshooting complex data issues. Knowledge of data governance frameworks (DCAM, DAMA DMBOK, ISO 8000, GDPR compliance). Familiarity with data security principles and regulatory compliance requirements. Ability to work independently and collaboratively in a fast-paced, global environment. Excellent communication and More ❯

expertise . What Were Looking For: Proven experience in a data governance, data management, or data strategy leadership role. Strong knowledge of data governance frameworks (e.g. DAMA-DMBOK, DCAM) and data quality principles. Experience implementing governance tools or platforms (e.g. Collibra, Informatica, Alation) is a plus. Solid understanding of data protection laws and regulatory compliance (e.g. GDPR 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 ❯

corporate initiatives. As a Senior Audit Manager in Data, Digital, and Enterprise Change, your role involves: Evaluating implementation of data governance frameworks and regulations like DCAM, DAMA-DMBOK, BCBS 239, and EU Data Governance Act. Assessing data architecture patterns such as Data Mesh and tools like Collibra. Evaluating risks related to AI use cases, including Copilot products … complex transformation programs, delivering key risk messages to senior leadership. Skills and Qualifications include: Understanding of frameworks and regulations such as COBIT, NIST, TOGAF, DORA, DCAM, DAMA-DMBOK, PMBOK, EU AI Act, and FFIEC requirements. Experience in evaluating IT risks and controls, especially in financial services. Strong knowledge of data governance and management concepts, with experience in 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 ❯