Senior Data Architect

ZipRecruiter; City Of London; Hybrid; GBP 105,000 - 120,000; Full time

Job summary

A renowned consultancy firm is seeking a Senior Manager to lead data analytics efforts within Investment Management. This hybrid role involves engaging with stakeholders, developing data solutions, and shaping business intelligence initiatives. The ideal candidate has over 10 years of experience and relevant professional certifications. Competitive salary and excellent benefits are offered.

Benefits

Excellent Benefits

Qualifications

• 10+ years’ experience designing and delivering data solutions.
• Expertise in data modelling principles and tools.
• Extensive experience within Investment Management and Wealth.

Responsibilities

• Act as the first point of engagement on major transformation programmes.
• Capture business requirements and deliver end-to-end data solutions.
• Play a key role in shaping analytics and business intelligence.

Skills

Data solutions design

Data modelling principles

Stakeholder communication

Education

Professional certifications (CFA, CISI, or CAIA)

Job description

Job Description

Senior Manager – Data Analytics, Investment Management & Wealth

A renowned Big 4 consultancy with an excellent track record of delivering innovative solutions into Financial Services is seeking a Senior Manager to join their Data Analytics practice, focusing on Investment Management and Wealth.

This role will act as the first point of engagement on major transformation programmes — working with senior stakeholders to capture business requirements and deliver end-to-end data and modelling solutions. You’ll also play a key role in shaping analytics, platforms, data management, quality, and business intelligence, while contributing to pre-sales and proposal development.

Location: London (Hybrid working)

Salary: £105,000 – £120,000 + Excellent Benefits

Key Requirements

• 10+ years’ experience designing and delivering data solutions across platforms, modelling, analytics, management, and BI.
• Expertise in data modelling principles and tools.
• Extensive experience within Investment Management and Wealth.
• Outstanding stakeholder communication skills, both written and verbal.
• Professional certifications such as CFA, CISI or CAIA ().