Job Title

Head of Decision Science

Ref #

7807

Location

Edinburgh

Department

Data Science

Business Area

Data Science

Working time

Full-Time

Date Published

24-11-2022

Head of Decision Science

Edinburgh hybrid working

Excellent Salary & Benefits

What you’ll bring

We’re embracing an agile way of working; this Analytics Leadership role will join us on an exciting journey to transform the end-to-end customer experience by truly unlocking the power of data and insights. This is an excellent opportunity to bring your talent, expertise, and make a difference to our customers, communities, and planet.

We’re looking for you to be a key senior member of our Analytics Leadership Team. The Head of Decision Science provides a bank-wide Centre of Excellence across Decision Science by designing, delivering, and utilising trusted analytical solutions that meet our customer needs by making smarter lending decisions, customer decisions, product strategy and pricing decisions. These decisions will underpin access to credit, optimal pricing, right targeting of products and offers to customers, financial returns, and responsible lending. You’ll establish proactive and insightful monitoring of model performance. The key focus of this role is on better adoption of analytical solutions to influence analytics-led decision-making across the bank. You will play a lead role in developing and delivering the Bank's analytical strategy – supporting Tesco Bank in helping our customers manage their money a little better every day.

Your vision will be around building a best-in-class decision science analytical capability in financial services. You’ll lead, inspire and develop a thriving Community of analytics professionals and decision scientists, who will work with our colleagues to deliver exceptional business and customer outcomes.

The Role

• Data and Analytics Strategy: Lead the implementation of data and analytics strategy by developing a data insights integration approach and process aligned to key business processes and decisions.
• Business Requirements Identification: Elicit the most complex business requirements using a variety of methods such as interviews, document analysis, workshops, and workflow analysis to express the requirements in terms of target user roles and goals.
• Advanced and Predictive Analytics: Create well-defined road maps that align predictive analytics projects with business needs, leading cross-functional teams in the implementation and ongoing use of advanced and predictive analytics' software tools and functionalities.
• Thought Leadership: Provide thought leadership on analytics across the bank. Proactively identify new use cases for analytics and work through pre-discovery to shape them into well-defined analytics projects. Work closely with stakeholders to always deliver on existing analytics solutions and ultimately right usage of these solutions.
• Change agent for data and analytics: Influence and educate key stakeholders (especially decision makers) to become more data driven and machine learning driven. Tackle any resistance by working closely with stakeholders to unlock real value to the business using data and analytics
• Performance Improvement through adoption of analytics: Work closely with decision makers across value streams to improve the adoption of analytics in business operations. Define the road map for model implementation, model monitoring and model refresh.
• Insights, Reporting and Storytelling: Set and lead execution of the data and analytics reporting plan, creating strategies and templates to report data in a meaningful way with compelling storytelling narrative. Create, present, and communicate high-impact data and analytics insights and recommendations to critical internal and external stakeholders.
• Client & Customer Management (Internal): Act as a business partner to key internal customers and manage relationships with them. Likely to involve using support teams to ensure customer satisfaction.

• Extensive experience of leading mid to large insight functions in a fast-paced environment
• Collaborator who can demonstrate how to manage complexity
• Strategic mindset to see the big picture and focus on initiatives which will move the dial
• Tech savvy to understand the world of insight and bringing in best practices
• Passionate about insight and ability to filter out ‘nice-to-haves’ from actionable insights
• Storyteller with excellent communication skills to influence senior stakeholders
• Champion Analytics and data-driven decision making

#LI-NT1

At Tesco Bank everyone is welcome, we value our people and diverse teams and believe the variety of backgrounds and experiences make us stronger in achieving our goals. It’s important to us that we make sure you’re supported by your team and colleague networks every day, celebrating when it matters and helping you to be the best version of yourself. The people make Tesco Bank, and we take pride in what we achieve together.

We’re also a little obsessed with the future. Your future. Our future. That’s why we take development seriously; we want to help you thrive and evolve in your career. Tesco Bank is a place to get on, all colleagues have access to LinkedIn Learning and Abstract, from day one.

All that hard work? Come and see it turned into something real, usable, and important to customers’ and colleagues’ everyday lives. At Tesco Bank, our products make things a little better for everyone.

The Tesco name comes with a dedication to customer service excellence, but Tesco Bank offers something more: a fresh approach to finance. While it’s an innovation, ours is a business built on the next development, the evolution to come. For forward-thinking, technical professionals, that means making a wide-ranging and long-lasting impact in an organisation that’s changing the face of banking for our customers.