4 of 4 Semantic Layer Jobs in Dorset

enhanced data-product designs. Identify opportunities to centralize business logic (shared, reusable calculation rules) across data products. Support development of report-focused views and semantic layers (business-friendly data models) to improve consumption and reduce duplication. Support launch and adoption of AI-enabled analytics tooling (e.g., Databricks Genie … Sigma. Exposure to Agile delivery and Jira-based routines. Experience supporting data-product users through triage, guidance, or training. Exposure to data contracts, semantic-layer design, or downstream reporting transformation. Interest in AI-enabled data consumption, such as prompt-based analytics or curated data rooms. Knowledge of cloud ...

deprecation and change communication — with multiple consumer teams. Working knowledge of modern data-consumption patterns (REST/GraphQL APIs, event streams, Data Mesh products, semantic layers) and how to select the right pattern per use case. Track record driving adoption of shared services across multiple consuming teams, including measurable ...

best-in-class. As the Data Governance & Data Product Lead in the Office of Regulation and Document Governance (ORDG), you will own the foundation layer of ORDG’s Data, Analytics & AI capability — turning policy content into governed, machine-readable data products that AI services, controls and reporting all consume. … control-related data domain — including obligations, controls, standards or procedure content — and its transformation into a governed data product. Working knowledge of Data Mesh, semantic layers, canonical modelling approaches and modern data-catalog/lineage tooling. Familiarity with JPMorganChase data standards, CDAO frameworks and firmwide governance operating models. Experience ...

best-in-class. As the Data Governance & Data Product Lead in the Office of Regulation and Document Governance (ORDG), you will own the foundation layer of ORDG’s Data, Analytics & AI capability — turning policy content into governed, machine-readable data products that AI services, controls and reporting all consume. … control-related data domain — including obligations, controls, standards or procedure content — and its transformation into a governed data product. Working knowledge of Data Mesh, semantic layers, canonical modelling approaches and modern data-catalog/lineage tooling. Familiarity with JPMorganChase data standards, CDAO frameworks and firmwide governance operating models. Experience ...