1 to 25 of 94 Taxonomies Jobs in the UK

structured and unstructured - is leveraged to drive commercial and operational value. Define the firm’s target data architecture, identifying master data sources and ensuring consistency of data definitions and taxonomy across business domains. Collaborate with the Head of Strategy and Architecture and the Head of Innovation, as well as key stakeholders across the firm to design and implement a modernised More ❯

structured and unstructured - is leveraged to drive commercial and operational value. Define the firm’s target data architecture, identifying master data sources and ensuring consistency of data definitions and taxonomy across business domains. Collaborate with the Head of Strategy and Architecture and the Head of Innovation, as well as key stakeholders across the firm to design and implement a modernised More ❯

structured and unstructured - is leveraged to drive commercial and operational value. Define the firm’s target data architecture, identifying master data sources and ensuring consistency of data definitions and taxonomy across business domains. Collaborate with the Head of Strategy and Architecture and the Head of Innovation, as well as key stakeholders across the firm to design and implement a modernised More ❯

structured and unstructured - is leveraged to drive commercial and operational value. Define the firm’s target data architecture, identifying master data sources and ensuring consistency of data definitions and taxonomy across business domains. Collaborate with the Head of Strategy and Architecture and the Head of Innovation, as well as key stakeholders across the firm to design and implement a modernised More ❯

structured and unstructured - is leveraged to drive commercial and operational value. Define the firm’s target data architecture, identifying master data sources and ensuring consistency of data definitions and taxonomy across business domains. Collaborate with the Head of Strategy and Architecture and the Head of Innovation, as well as key stakeholders across the firm to design and implement a modernised More ❯

grounding in data management, covering one or more of the following areas: Data governance Data ethics Data modelling Data architecture Data quality Master data management Experience of data lineage, taxonomies and metadata management Strong problem solving and analytical thinking ability, in order to adapt to different client projects and scenarios Excellent written and verbal communication skills that allow you build More ❯

/licenses) and log benefits in the approved Ariba workflow. Data stewardship in Ariba (single source of truth): Champion data quality across sourcing projects, contracts and savings forms-owning taxonomy alignment, metadata completeness and timeliness (e.g., renewal dates, values, clauses). Use the latest upload templates and required fields; fix gaps rapidly to keep reporting dependable. Produce category MI from More ❯

and data governance standards. Lead the data modeling efforts for Product entities including Item, Variant, Product Hierarchy, Pricing, Attributes, and Relationships. Collaborate with business stakeholders to define data standards, taxonomies, and hierarchies for product data. Integrate PIM systems with MDM platforms and downstream applications (e.g., ERP, CRM, data platform). Define and implement data quality rules , match & merge logic , and More ❯

and data governance standards. Lead the data modeling efforts for Product entities including Item, Variant, Product Hierarchy, Pricing, Attributes, and Relationships. Collaborate with business stakeholders to define data standards, taxonomies, and hierarchies for product data. Integrate PIM systems with MDM platforms and downstream applications (e.g., ERP, CRM, data platform). Define and implement data quality rules , match & merge logic , and More ❯

Key Responsibilities/Skills Lead the data modelling efforts for Product entities including Item, Variant, Product Hierarchy, Pricing, Attributes, and Relationships. Collaborate with business stakeholders to define data standards, taxonomies, and hierarchies for product data. Integrate PIM systems with MDM platforms and downstream applications (eg, ERP, CRM, data platform). Define and implement data quality rules, match & merge logic, and More ❯

and KPIs aligned to governance strategies. Integrate data quality tooling with metadata, lineage, and governance platforms to enhance visibility and traceability. Support efforts to define and align reference data taxonomies and consumption models across business functions. About You 6+ years’ experience in data management, analytics, or governance roles, ideally within financial services. In-depth understanding of data quality, metadata management More ❯

and KPIs aligned to governance strategies. Integrate data quality tooling with metadata, lineage, and governance platforms to enhance visibility and traceability. Support efforts to define and align reference data taxonomies and consumption models across business functions. About You 6+ years’ experience in data management, analytics, or governance roles, ideally within financial services. In-depth understanding of data quality, metadata management More ❯

maintain data governance policies and procedures in line with regulatory requirements. Collaborate with data owners and stewards to define, monitor, and improve data quality metrics. Maintain a data catalog, taxonomy, and data lineage documentation. Advocate for data quality best practices and drive initiatives to enhance data-driven decision-making. Develop and deliver training to raise awareness of data governance principles More ❯

maintain data governance policies and procedures in line with regulatory requirements. Collaborate with data owners and stewards to define, monitor, and improve data quality metrics. Maintain a data catalog, taxonomy, and data lineage documentation. Advocate for data quality best practices and drive initiatives to enhance data-driven decision-making. Develop and deliver training to raise awareness of data governance principles More ❯

maintain data governance policies and procedures in line with regulatory requirements. Collaborate with data owners and stewards to define, monitor, and improve data quality metrics. Maintain a data catalog, taxonomy, and data lineage documentation. Advocate for data quality best practices and drive initiatives to enhance data-driven decision-making. Develop and deliver training to raise awareness of data governance principles More ❯

maintain data governance policies and procedures in line with regulatory requirements. Collaborate with data owners and stewards to define, monitor, and improve data quality metrics. Maintain a data catalog, taxonomy, and data lineage documentation. Advocate for data quality best practices and drive initiatives to enhance data-driven decision-making. Develop and deliver training to raise awareness of data governance principles More ❯

maintain data governance policies and procedures in line with regulatory requirements. Collaborate with data owners and stewards to define, monitor, and improve data quality metrics. Maintain a data catalog, taxonomy, and data lineage documentation. Advocate for data quality best practices and drive initiatives to enhance data-driven decision-making. Develop and deliver training to raise awareness of data governance principles More ❯

or Retail. Expertise in Product Information Management (PIM), Master Data Management (MDM), Product Lifecycle Management (PLM) or equivalent product data systems. Strong knowledge and technical understanding of data governance, taxonomy, and data quality principles. Experience integrating PIM/MDM solutions with ERP, eCommerce, and digital platforms. Strong awareness of emerging AI trends and the ability to apply them pragmatically to More ❯

high-value data assets—making them FAIR and analytics-ready. What you'll do Curate, organise and standardise data to enable interoperability and insight. Develop and maintain controlled vocabularies, taxonomies and ontologies. Assess data quality, perform profiling and validation checks. Collaborate with scientists, domain experts and data specialists. Support analytics and reporting teams by providing curated datasets. What we're More ❯

behaviour Define and implement data standards, policies and procedures Master Data Development Contribute to the design and implementation of a centralised master data strategy Define and document data standards, taxonomies, and governance rules Monitor data quality metrics and support remediation efforts Cross-Functional Collaboration Work closely with business stakeholders to understand data needs and pain points Translate business requirements into More ❯

behaviour Define and implement data standards, policies and procedures Master Data Development Contribute to the design and implementation of a centralised master data strategy Define and document data standards, taxonomies, and governance rules Monitor data quality metrics and support remediation efforts Cross-Functional Collaboration Work closely with business stakeholders to understand data needs and pain points Translate business requirements into More ❯

behaviour Define and implement data standards, policies and procedures Master Data Development Contribute to the design and implementation of a centralised master data strategy Define and document data standards, taxonomies, and governance rules Monitor data quality metrics and support remediation efforts Cross-Functional Collaboration Work closely with business stakeholders to understand data needs and pain points Translate business requirements into More ❯

behaviour Define and implement data standards, policies and procedures Master Data Development Contribute to the design and implementation of a centralised master data strategy Define and document data standards, taxonomies, and governance rules Monitor data quality metrics and support remediation efforts Cross-Functional Collaboration Work closely with business stakeholders to understand data needs and pain points Translate business requirements into More ❯

campaign activations across paid and owned channels. The role focuses on the following core areas: Supporting data governance for LEGO, ensuring top-level data quality. Developing and implementing consistent taxonomy and naming conventions across key platforms. Enhancing local and central teams' ability to utilize Publicis reporting tools effectively. Collaborating with internal teams to develop data governance processes and ensuring compliance. More ❯

Own Elliptic's Risk and Compliance strategy, frameworks, and annual plan Define risk appetite and tolerances with leadership; translate into KRIs and control objectives Enterprise risk management Maintain risk taxonomy, registers, and assessment cadence across business, product, data, third party, and operational risks Facilitate risk identification with domain owners, evaluate inherent/residual risk, and drive treatment plans Compliance framework More ❯