Senior Data Architect Manager

Overview

In this role, you lead enterprise data architecture for investment and wealth clients, shaping data strategies and transformation roadmaps. You work closely with senior stakeholders and multi-disciplinary teams to deliver operating model improvements and measurable business impact. The position sits in the Technology & Transformation practice, blending strategy, architecture and delivery to drive high‑value outcomes. You will influence C‑level decisions and stay close to emerging data technologies, applying them to client challenges.

Pay / Benefits

• Flexible hybrid working
• Wellbeing focus
• Career development
• Exposure to senior decision-makers

Responsibilities

• Lead enterprise data strategies and architecture for complex investment and wealth clients
• Manage multi-disciplinary teams delivering assessments, target-state architectures, and transformation roadmaps
• Identify inefficiencies in data architectures and propose scalable improvements
• Shape and deliver operating model and data transformation initiatives from strategy to implementation
• Run client workshops to define requirements, data models, and architectural principles
• Engage with C-level and senior stakeholders, translating data concepts into business value
• Stay updated on emerging data technologies and apply them to client challenges

Key requirements

• Strong experience in data architecture and data solution design within consulting or large enterprises
• Deep knowledge of data modelling (conceptual, logical, physical)
• Experience in data quality, master data and reference data
• Analytics, reporting, and self-service BI experience
• Experience defining data standards, taxonomies, vocabularies, and a common data language
• Proven leadership in delivering through teams and developing junior talent
• Industry experience in Investment Management and/or Wealth (assets, trading, risk, pricing, ESG, market data)

• Stakeholder engagement at senior levels
• Leadership and team development
• Clear, business-focused communication
• Data architecture and modelling (conceptual, logical, physical)
• Data quality, master data, reference data management
• Analytics, reporting, self-service BI

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