We have an opportunity for a Senior Manager to join our Data & Analytics team based in the Isle of Man on a permanent basis.

​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 leading the Bank’s analytics function end-to-end, combining strong technical data analytics expertise with strategic leadership of our analysts, architects and data senior data specialists.  They will design and oversee the delivery of enterprise-wide analytics solutions, including advanced analytics (AI/ML), and self-service capabilities that enable high-quality decision-making across the organisation.

​The role ensures analytics value creation is aligned to business strategy and regulatory obligations across jurisdictions. They will work collaboratively with stakeholders - Including the Data Architect, Data Engineering, Data Analytics, and business leaders - To ensure secure, reliable, and effective data use.

​Responsibilities & Duties​

• Provide strategic leadership of the Bank’s analytics operating model, ensuring alignment to business strategy and value delivery.
• Manage relationships with senior stakeholders, presenting insights, business cases, and progress updates.
• Lead and manage managers across BI & Analytics Engineering, Data Science & AI, and Data Governance & Quality.
• Develop and implement a Bank wide analytics strategy and roadmap supporting data driven decision making, insight delivery, and advanced analytics adoption.
• Oversee the design and delivery of enterprise semantic models, reusable data products, dashboards, and business intelligence solutions.
• Drive reliable, responsible, and production grade AI/ML initiatives, ensuring appropriate governance, validation, and model risk management.
• Establish and maintain data quality controls, stewardship processes, lineage, and a business glossary for analytics critical data.
• Govern Power BI usage, certified datasets, workspace strategy, and self-service adoption.
• Partner with Data Analytics and Data Engineering to ensure robust, secure, and efficient data pipelines and platforms.
• Lead analytics resource planning, team capability development, and succession planning.
• Ensure analytics compliance with regulatory requirements across IoM, UK, Jersey, and UAE.
• Evaluate and recommend analytics technologies, tools, and platforms to enhance organisational capability.
• Undertake continuous professional development aligned to evolving analytics, AI,
• regulatory, and business trends.

• Proven track record leading analytics, BI, or data science teams, including managing managers and deeply technical staff.
• Significant experience delivering analytics solutions within a regulated financial services environment.
• Strong expertise in business intelligence, semantic modelling, reporting, and self-service analytics governance.
• Demonstrable experience delivering AI/ML solutions from concept through to production, including ML Ops and model monitoring a value add.
• Strong understanding of data governance frameworks, data stewardship models, and data quality management.
• Familiarity with modern data platforms, including Microsoft Fabric, Azure, or equivalent cloud environments.
• Experience working with data engineering teams to deliver reliable, scalable, and cost-efficient data pipelines.
• Ability to translate complex analytics outputs into actionable insights for senior non‑technical stakeholders.
• Experience managing analytics portfolios, prioritisation, and benefit realisation.
• Comfortable working with multiple jurisdictions, stakeholders, and competing business priorities.

• Degree in a relevant field (Data/Computer Science, Statistics, Mathematics, Economics, or related discipline) or equivalent experience.
• Professional certifications such as Microsoft Fabric Analytics Engineer, Power BI Data Analyst, Azure Data Engineer, Azure AI Engineer, DAMA CDMP, or Agile leadership qualifications are advantageous.
• Architecture related qualifications (e.g., TOGAF) are helpful for enterprise alignment.