At a Glance
- Tasks: Lead data strategy for Wealth businesses, driving insights and customer-centric decisions.
- Company: Join a leading bank focused on innovative data solutions in wealth management.
- Benefits: Enjoy remote work flexibility and opportunities for professional growth.
- Why this job: Make a real impact by enhancing customer experiences through data-driven strategies.
- Qualifications: Extensive financial services knowledge and experience in leading data teams required.
- Other info: This role offers a chance to shape the future of banking with advanced analytics.
The predicted salary is between 72000 - 108000 £ per year.
Join us as a Head of Data & Analytics, Wealth Businesses. This is an opportunity to explore your strategic leadership potential and bring an increased data-led focus and purpose to the bank. You’ll be responsible for setting the strategic direction for Data & Analytics (D&A) for the Wealth businesses, leveraging new capabilities delivered under the bank wide data strategy to maximise opportunities and value for our Wealth customers.
You’ll be responsible for the management of budget and performance, as well as the team’s workflow and delivery, working across the broader D&A area.
What you'll do
Day-to-day, you’ll be responsible for setting the Wealth franchise strategic direction for monetising data and leveraging new capabilities delivered under the data strategy. This will involve coordinating all franchises and functions and centralised capabilities to deliver data driven insights and value from data assets. You’ll drive the bank to become customer centric, linking and making use of data regarding customer relationships and presenting this data to front-line colleagues. In doing so, you’ll deliver better customer outcomes by being personal and relevant when interacting with our customers across all channels. We’ll look to you to work in partnership to deliver for our people and our customers. This will involve leading the data delivery and strategy for the Wealth Businesses, and embedding data led decisions through strong engagement, well-engineered data, artificial intelligence solutions and self-serve tools. In addition, you’ll lead, develop and motivate the team to deliver for our customers.
You’ll also be responsible for:
- Driving the implementation and maintenance of appropriate data management protocols and business rules to ensure secure and compliant management of data across the Wealth businesses.
- Fully embedding the D&A team into partner businesses, operating models, and matrix aligned structures.
- Collaboratively designing the agreed data strategy and aligning tracking systems for value delivery to partner businesses.
The skills you'll need
To succeed in this role, you’ll need extensive domain knowledge of financial services and a deep understanding and experience of leading teams who use D&A to influence business and customer decision-making. You’ll have strong knowledge and awareness of regulatory requirements and business processes within financial services and specifically private banking and wealth management. You’ll also have a good understanding of wealth businesses and our strategic priorities as well as an awareness of wider commercial landscape.
An understanding of balance sheet management and a proven experience in all aspects of data and analytic role types, including managing large, multi-disciplinary teams will be beneficial. Along with excellent leadership and community building skills with the ability to foster a collaborative environment across multi-disciplinary, you’ll have the ability to communicate highly technical topics in a contextually relevant manner to senior audience.
Furthermore, you’ll need:
- Advanced knowledge of analytics techniques and AI methodologies, with experience in leading teams who use advanced analytics to solve complex business problems.
- An awareness of cloud data engineering, with experience of platforms such as AWS and Azure, and their use in managing scalable cloud data solutions.
- Experience of data warehousing concepts and data modelling techniques.
- Experience of leading delivery of the end-to-end lifecycle of AI models, including development, deployment, monitoring, and maintenance, including knowledge of MLOps practices.
- An understanding of ethical consideration in AI, with the ability to role model their importance with business partners.
- Knowledge of banking data architecture and ecosystems, with experience in designing data solutions tailored to the banking industry.
Hours: 35
Job Posting Closing Date: 30/05/2025
Ways of Working: Remote First
Head of Data & Analytics, Wealth Businesses employer: NatWest Group
Contact Detail:
NatWest Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data & Analytics, Wealth Businesses
✨Tip Number 1
Network with professionals in the financial services and wealth management sectors. Attend industry events, webinars, or local meetups to connect with potential colleagues and leaders who can provide insights into the role and the company culture.
✨Tip Number 2
Stay updated on the latest trends in data analytics and AI methodologies, particularly as they relate to wealth management. This knowledge will not only enhance your understanding but also demonstrate your commitment to staying at the forefront of the industry.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully led teams in implementing data-driven strategies. Highlight your experience in managing large, multi-disciplinary teams and how you’ve fostered collaboration to achieve business goals.
✨Tip Number 4
Familiarise yourself with the bank's current data strategy and any recent initiatives they've undertaken. This will allow you to tailor your discussions during interviews, showing that you are proactive and genuinely interested in contributing to their objectives.
We think you need these skills to ace Head of Data & Analytics, Wealth Businesses
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive domain knowledge of financial services and experience in leading teams that use data and analytics. Emphasise your leadership skills and any relevant achievements in previous roles.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate your understanding of the strategic direction for Data & Analytics in wealth businesses. Mention specific examples of how you've driven data-led decisions and improved customer outcomes in past positions.
Showcase Relevant Skills: Highlight your advanced knowledge of analytics techniques, AI methodologies, and cloud data engineering. Be specific about your experience with platforms like AWS and Azure, and how you've applied these in previous roles.
Demonstrate Leadership Experience: Provide examples of how you've led multi-disciplinary teams and fostered a collaborative environment. Discuss your ability to communicate complex technical topics to senior audiences, as this is crucial for the role.
How to prepare for a job interview at NatWest Group
✨Showcase Your Strategic Vision
As a Head of Data & Analytics, it's crucial to demonstrate your ability to set a strategic direction. Prepare examples of how you've previously developed and implemented data strategies that have driven business value, particularly in wealth management or financial services.
✨Highlight Leadership Experience
This role requires strong leadership skills. Be ready to discuss your experience in managing multi-disciplinary teams, fostering collaboration, and motivating team members to achieve their goals. Share specific instances where your leadership made a significant impact.
✨Understand Regulatory Requirements
Given the nature of the financial services industry, it's essential to be well-versed in regulatory requirements. Brush up on relevant regulations and be prepared to discuss how you have ensured compliance in previous roles, especially regarding data management.
✨Demonstrate Technical Proficiency
You should be able to communicate complex technical topics clearly. Prepare to discuss your knowledge of analytics techniques, AI methodologies, and cloud platforms like AWS and Azure. Providing examples of how you've applied these technologies in real-world scenarios will strengthen your case.