Head of Data & Analytics, Wealth Businesses

Natwest; City Of London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading bank seeks a Head of Data & Analytics within their Wealth Businesses. This role involves setting a strategic focus on data-driven insights and leading a team to enhance customer relationships through analytics. Candidates should possess extensive experience in financial services and a robust understanding of data ethics and architecture.

Qualifications

• Extensive domain knowledge of financial services.
• Experience in leading teams using D&A.
• Strong understanding of regulatory requirements.

Responsibilities

• Set the strategic direction for Data & Analytics for Wealth businesses.
• Drive the implementation of data management protocols.
• Lead, develop, and motivate the D&A team to deliver customer-oriented insights.

Skills

Leadership

Community Building

Data Analysis

Communication

Cloud Data Engineering

Ethical AI

Data Management

Tools

AWS

Azure

Job description

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