We have an opportunity for an experienced Data Architect to join us on a permanent basis, this role is based in our Isle of Man hub.

Who We Are

Nedbank Private Wealth is a multi-award-winning private bank and wealth manager headquartered in the Isle of Man, with branches in London, Jersey and a representative office in the UAE. The company provides a full international wealth management offering through its wealth planning, investment management, and banking services, to both business and private clients worldwide.

All our people are expected to consistently demonstrate our 6Cs, Collaboration, Curiosity, Courage, Client Impact, Can Do Attitude and Completeness.

Job Purpose

The role holder is responsible for designing, developing, and managing the Bank’s enterprise data architecture to enable secure, efficient, and high-quality data management across the organisation. They will work closely with stakeholders including business analysts, data scientists, and IT teams to understand data requirements and deliver strategies for integration, storage, governance, and retrieval.

The role will ensure that data assets are optimised for business intelligence, regulatory compliance, and advanced analytics, including AI readiness, while aligning with the Bank’s strategic objectives.

Role Specific Details

• Act as the Bank’s lead authority on data architecture, ensuring alignment between business needs, data strategy, and technology solutions.
• Develop and implement a comprehensive data strategy that supports business objectives, ensures data quality, integrity, and security, and positions the Bank for AI and advanced analytics adoption.
• Design and maintain logical and physical data models, schemas, and structures to support enterprise reporting, analytics, and operational processing, using both dimensional and operational warehouse modelling techniques.
• Oversee data integration processes to ensure seamless, accurate, and timely flow of data between systems, applications, and platforms.
• Lead AI and advanced analytics initiatives, from concept through to production, ensuring robust data foundations for machine learning and predictive modelling.
• Drive data governance frameworks, policies, and standards to ensure compliance with regulatory requirements and data privacy obligations.
• Collaborate with IT security teams to implement and maintain strong data security measures, safeguarding sensitive client and business information.
• Manage enterprise data assets, including data dictionaries, metadata repositories, and data lineage documentation, ensuring they are accurate, accessible, and up to date.
• Evaluate and recommend data management tools and technologies to enhance the Bank’s data capabilities and infrastructure.
• Work collaboratively across the organisation, providing expert guidance on data-related initiatives and ensuring alignment with the Bank’s strategic goals.
• Undertake continuous professional development to remain current with industry trends, emerging technologies, and regulatory changes, in line with the Bank’s Training and Competency policy.

• Proven track record in designing and implementing enterprise data architectures within a regulated financial services environment.
• Strong expertise in data modelling (both dimensional and operational) and enterprise data modelling principles.
• Demonstrable experience in data integration, ETL processes, and database management across multiple platforms.
• Experience in AI and advanced analytics project delivery, from inception to production.
• Strong understanding of data governance frameworks, regulatory compliance, and data privacy standards.
• Familiarity with data lake, big data, and cloud-based data technologies is desirable.
• Ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders.
• Technologically adept, with experience in metadata management, data lineage tools, and modern data platforms.
• Comfortable working with complex data ecosystems and multiple stakeholder groups to deliver tailored, business-focused solutions.

• Architecture-related qualifications such as TOGAF are desirable.
• Data governance or data management-specific certifications are advantageous.