AI Product Owner

Join us as an AI Product Owner. We’ll look to you to future proof how our customers engage with the bank through the creation and scaling of our AI conversation assistants and help and support platforms.

Day-to-day, you’ll use data analysis and find opportunities to develop our capabilities and new customer experiences across our bank’s conversation assistants. Thrive in a role where you’ll utilise your skill set to lead a team that'll build journeys, optimise natural language understanding and identify new initiatives.

What you’ll do

As an AI Product Owner, you’ll:

1. Define a backlog and create a roadmap that’ll enable the delivery of our bank’s objectives and meet key performance indicators, while ensuring compliance through the effective identification, escalation and resolution of risks and issues.
2. Drive all aspects of the delivery by setting the production vision and defining, managing and prioritising the backlog by using Agile methodologies to develop and release value to our customers.
3. Implement and run a programme of optimisation to ensure products meet their objectives.
4. Work with our bank’s stakeholders to understand our customers’ needs by using conversational AI and customer testing to design journeys for our conversation assistants.
5. Use data sources, tools, market research, first and third-hand customer research and gap analysis to identify customer insights.
6. Ensure the delivery and optimisation of new and innovative approaches to AI and intelligent automation that focus on new and emerging technologies to improve customer experiences.
7. Develop help and support capabilities and extend this to new interfaces, including voice assistants, social channels and other emerging technologies.

The skills you’ll need

To be successful in this role, you’ll need:

1. Product Owner experience ideally working with AI powered products and integrating APIs to build new features and journeys that enhance the customer experience and enable personalisation.
2. Knowledge of key metrics and an understanding of current technologies within AI and virtual assistants.
3. Experience managing and coaching a team to their full potential.
4. Knowledge and experience of generating insights through customer research across a range of research methodologies.
5. The ability to deliver and optimise products through continuous improvements using data, insights, value slicing and A/B testing, ideally those involving virtual assistants and NLU.
6. An understanding of innovation and design thinking methodologies, tools and processes and a background of managing a backlog.
7. Experience working in an Agile environment by using Scrum and Kanban methodologies.