[Hiring] Data Modeler/ Data Governance Technical Business Analyst @Careerwise UK

Role Description

The ideal candidate will model the data, catalogue it, curate it, and put it in a repository.

• Data inventory, modelling, capture, classification, flow mapping and retention — strong, hands-on, end-to-end; able to stand these up from a low baseline.
• Data engineering, modelling & classification — Build and own the central data inventory and data model, data capture / ingestion, and flow maps integrated into the inventory for each business.
• Apply a consistent data-classification scheme; design sensitivity-based segmentation; implement and enforce retention across all business units.
• Gap analysis & consolidation across separately-run businesses — reconciling the same or similar systems deployed independently across multiple entities.
• Process & governance design — fixing root causes and embedding artefact maintenance into business-as-usual.
• Self-managed delivery — plans and delivers a multi-entity workstream independently to scope and timeline; manages own risks, dependencies and stakeholders.
• Solution architecture — able to scope and shape solutions for other allocated projects, including solutions built on monday.com as the platform.
• Apply the Cybersecurity Standard and secure-by-design to every deliverable; treat classification, least privilege, masking, retention and DLP as defaults.
• Enable secure AI via the Model Context Protocol (MCP) with Claude — connector scoping, least privilege, secrets management and auditability — ensuring data is classified and governed before any AI exposure.

Qualifications

• Microsoft Purview (data inventory, classification, data map / lineage) and data-governance / cataloguing tooling.
• UK GDPR and data-protection obligations in multi-entity groups; ISO 27002:2022 familiarity.
• Certifications — SnowPro; Microsoft (e.g. SC-400, SC-300, DP-series, AZ-500); architecture certifications.

Requirements

• Outside IR35 contract.
• Rate: £525 a day.
• Duration: 5 months.
• Work from Home.