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# Data Architect Manager

- **Company:** Overviewa
- **Location:** Edinburgh, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Architecture, Data Governance, Data Transformation, Reference Data, Working Model 2D, Data Management
- **Published:** August 26, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-architect-manager/45144735

## About the Role

* Proven leadership experience managing delivery teams and developing junior talent * Strong industry experience within Investment Management and/or Wealth, e.g.: * Asset & wealth management products * Trading, portfolio management, risk, pricing, ESG, market dataWhy Join? * Work on high-impact data transformation programmes for leading financial services organisations * Operate at the intersection of strategy, architecture, and delivery * Be part of a collaborative, inclusive environment that values expertise, innovation, and leadership * Clear progression, strong investment in personal development, and exposure to senior decision-makers * Flexible hybrid working model with a strong focus on wellbeing and career sustainabilityJob Summary80,000 to 95,000 GBPConsultant RoleSkills: MS Business Intelligence, Data ArchitectureLevel: Senior

## Description

transformation roadmaps * Identify inefficiencies in existing data architectures and define pragmatic, scalable improvements * Shape and deliver operating model and data transformation initiatives, from strategy through to implementation * Lead client workshops to define requirements, design data models, and agree architectural principles * Engage confidently with C-level and senior stakeholders, translating complex data concepts into clear business value * Stay close to emerging data technologies and industry trends, applying them to real client challengesRequired Experience: * Strong background in data architecture and data solution design within consulting or large enterprise environments * Deep understanding of data management concepts including: * Data modelling (conceptual, logical, physical) * Data quality, master & reference data * Analytics, reporting, and self-service BI * Experience defining data standards, taxonomies, vocabularies, and a "common language for data"


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