Data Analytics Manager – Financial Services (Central Belt)
🔒 Confidential Employer
Posted 31 August 2025
LOCATION
Edinburgh
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£75,000 / year
CATEGORY
Financial Services
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion
SKILLS
Data Strategy
Data Governance
AI Integration
Stakeholder Management
Project Leadership
Financial Services
Consulting
Data Architecture
FULL DESCRIPTION
Summary
Oliver James is partnered with a leading global financial services advisory team in the hiring of Financial Services Data Manager. The role can be based in Edinburgh or Glasgow – paying up to c£75,000 basic plus extras. The role involves leading data strategies, data governance, transformation, AI integration, stakeholder management, and project leadership within the financial services sector.
- Lead the development of enterprise-wide data strategies, data policies, and operating models, embedding sustainable data management and AI practices while ensuring compliance with global regulatory standards and aligning with sector-specific operational requirements.
- Advise clients on improving data quality, lineage, and controls to address regulatory gaps, strengthen internal oversight, and enhance data governance capabilities. This includes enabling greater confidence in reporting, analytics, and the adoption of AI.
- Support front and back-office transformation initiatives by improving data architecture to enhance pricing, claims automation, regulatory reporting, customer insights, and risk management. Lead delivery teams on complex change programs, from solution design to managing onshore and offshore technical delivery teams, fostering business insights, transformation, and innovation.
- Leverage AI and automation to improve scalability and performance in data management and implementation activities, such as data discovery, data quality monitoring, and policy enforcement.
- Exhibit strong written and verbal communication skills to articulate policies, strategies, and regulatory expectations. Provide clear recommendations and engage with key stakeholders in both business and technology segments, bringing clarity and direction to senior stakeholders.
- Demonstrate the ability to lead engagements and teams effectively to meet key client requirements and regulatory demands. Oversee delivery and foster the growth of diverse and technologically adept teams, integrating AI and technological tools to optimize performance.
- Actively contribute to the execution of business change and risk transformation projects, potentially managing concurrent client programs. Report updates to Senior Managers and above while developing strategies to address complex technical challenges, assisting firms in rethinking their approach to risk and control and implementing effective and lasting change.
- Build and maintain strong client relationships, identifying opportunities to expand engagement with both new and existing clients.
- Experience within Financial Services
- Experience in Consulting
- Experience in transformation programs focused on data maturity and regulatory remediation.
- Practical knowledge of data governance frameworks and tools.
- Understanding of AI/ML adoption and governance in insurance or banking.
- Exposure to cloud data environments and modern data architectures.
Data Analytics Manager – Financial Services (Central Belt)
Oliver James is partnered with a leading global financial services advisory team in the hiring of Financial Services Data Manager.
The role can be based in Edinburgh or Glasgow – paying up to c£75,000 basic plus extras.
Oliver James is partnered with a leading global financial services advisory team in the hiring of Financial Services Data Manager.
The role can be based in Edinburgh or Glasgow – paying up to c£75,000 basic plus extras.
You will carry likley carry expertise in the insurance or banking sectors – with over 5 years of consulting or advisory experience – or directly within the insurance or banking industry.
Additionally, your understanding of the data governance ecosystem within the insurance or banking sector – shaped by global regulatory demands, global operations, and legacy systems – will be robust.
Key Responsibilities:
- Lead the development of enterprise-wide data strategies, data policies, and operating models, embedding sustainable data management and AI practices while ensuring compliance with global regulatory standards and aligning with sector-specific operational requirements.
- Advise clients on improving data quality, lineage, and controls to address regulatory gaps, strengthen internal oversight, and enhance data governance capabilities. This includes enabling greater confidence in reporting, analytics, and the adoption of AI.
- Support front and back-office transformation initiatives by improving data architecture to enhance pricing, claims automation, regulatory reporting, customer insights, and risk management. Lead delivery teams on complex change programs, from solution design to managing onshore and offshore technical delivery teams, fostering business insights, transformation, and innovation.
- Leverage AI and automation to improve scalability and performance in data management and implementation activities, such as data discovery, data quality monitoring, and policy enforcement.
- Exhibit strong written and verbal communication skills to articulate policies, strategies, and regulatory expectations. Provide clear recommendations and engage with key stakeholders in both business and technology segments, bringing clarity and direction to senior stakeholders.
- Demonstrate the ability to lead engagements and teams effectively to meet key client requirements and regulatory demands. Oversee delivery and foster the growth of diverse and technologically adept teams, integrating AI and technological tools to optimize performance.
- Actively contribute to the execution of business change and risk transformation projects, potentially managing concurrent client programs. Report updates to Senior Managers and above while developing strategies to address complex technical challenges, assisting firms in rethinking their approach to risk and control and implementing effective and lasting change.
- Build and maintain strong client relationships, identifying opportunities to expand engagement with both new and existing clients.
Preferred Skills
- Experience within Financial Services
- Experience in Consulting
- Experience in transformation programs focused on data maturity and regulatory remediation.
- Practical knowledge of data governance frameworks and tools.
- Understanding of AI/ML adoption and governance in insurance or banking.
- Exposure to cloud data environments and modern data architectures.
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