Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As Manager Data Analytics and AI, you will play a key role in supporting RBS Finance with data, analytics, reporting and governance to help the Retail Bank make informed decisions. You will work closely with business and data stakeholders to turn questions into insights, build scalable reporting products and support analytics initiatives that improve transparency, reduce manual effort and enable better decision-making.

Responsibilities

Deliver ad hoc analytics, reporting and project-based work across areas such as AI use cases, data governance, data quality and data asset development.
Translate stakeholder questions into clear problem statements, practical analysis and actionable recommendations.
Champion the adoption of AI and analytics across RBS Finance by identifying opportunities, shaping use cases and translating business challenges into practical solutions.
Design, build and maintain reporting and dashboard solutions that are intuitive, reliable and decision-ready.
Work with business and data stakeholders to identify opportunities beyond the immediate question and build more reusable, scalable analytics solutions.
Support strong data quality, governance, privacy and access controls across analytics and reporting activities.
Contribute to executive-ready narratives, insight packs and recommendations that are clearly tied to evidence.

Requirements

Experience in analytics, business intelligence, insights or a related data role, with confidence moving between commercial problem solving and hands-on delivery.
Strong SQL skills, with experience working with data assets, upstream data teams or engineering partners.
Experience with Power BI and/or Tableau, including dashboard design, reporting products and data storytelling.
Working knowledge of Python or similar analytical tools, with a willingness to learn and apply new approaches where relevant.
A strong focus on driving AI Use Cases, data accuracy, governance, controls and responsible use of data and AI.
Interest in finance or financial services, with enough commercial curiosity to understand how banking products, customers and channels connect to business performance.

Skills

AI Use Cases
Data governance
Data quality
Data asset development
SQL
Power BI
Tableau
Python

About the Company

Retail Banking Services supporting more than 10 million personal and small business customers with market-leading products, services and digital experiences.
RBS Finance partners with stakeholders across the Retail Bank to deliver strategic financial insights, performance analysis and decision support that influence business outcomes, investment decisions and key initiatives, while maintaining robust management and financial reporting.