At a Glance
- Tasks: Lead AI use case development in Trade and Working Capital, driving innovation and productivity.
- Company: Join a global leader in financial services with a commitment to diversity and inclusion.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic role with global exposure and a focus on upskilling and AI literacy.
- Why this job: Make a real impact by transforming business needs into cutting-edge AI solutions.
- Qualifications: Experience in AI use case management and strong business acumen in finance.
The predicted salary is between 80000 - 100000 £ per year.
Join the Trade and Working Capital (T&WC) Business! As the AI Use Case Business Lead within T&WC, you will serve as the owner of the AI use case book of work across Trade and Working Capital, responsible for interfacing with all business functions to enable product development, commercialization, and productivity AI applications. This role is accountable for translating business needs into clear technical requirements through close partnership with central AI, data science, and technology teams, and for driving end-to-end delivery from ideation through value realization.
Job Responsibilities
- Own and manage the end-to-end AI use case book of work across Trade and Working Capital, from ideation through delivery and value realization.
- Serve as the primary interface between business functions and central AI, data science, and technology teams, translating business needs into clear technical requirements.
- Drive AI enablement across product development, commercialization, and internal productivity use cases, managing delivery from concept through adoption.
- Lead use case prioritization using a structured framework that weighs business value, data readiness, feasibility, and strategic alignment.
- Champion upskilling and AI literacy initiatives within the business to build capability and accelerate adoption across functions.
- Link Trade and Working Capital AI priorities to firmwide AI initiatives and enterprise programs, ensuring product-specific requirements are properly represented and addressed.
- Partner with the Data and Infrastructure Lead to ensure data foundation, governance, and tooling needs for AI use cases are identified and sequenced into the infrastructure roadmap.
- Track and communicate portfolio progress, value realization, and lessons learned to senior leadership and stakeholders.
Required qualifications, capabilities, and skills
- Demonstrated ability to define, prioritize, and manage an AI or advanced analytics use case pipeline within a complex, matrixed financial services organization.
- Strong business acumen in trade finance, transaction banking, or corporate banking with the ability to identify and size high-impact AI opportunities.
- Experience translating business requirements into technical specifications and partnering effectively with data science, AI engineering, and technology teams.
- Familiarity with AI/ML concepts, generative AI, and large language model applications sufficient to engage credibly with technical specialists and challenge assumptions.
- Proven stakeholder management across business functions, product, technology, and senior leadership in a global environment.
- Track record of leading upskilling or change management programs to drive adoption of analytical or AI-enabled capabilities.
- Strong prioritization and program management skills across a multi-workstream portfolio with competing demands.
- Ability to connect business-specific initiatives to enterprise governance frameworks, responsible AI standards, and firmwide delivery programs.
Preferred qualifications, capabilities, and skills
- Direct experience with AI or advanced analytics product development in trade finance, transaction banking, or wholesale banking.
- Familiarity with firmwide AI governance, responsible AI frameworks, or model risk management practices.
- Experience working with data science or AI engineering teams in an agile or product delivery model.
- Experience in commercial or product strategy roles with exposure to AI-driven revenue generation or efficiency use cases.
- Prior experience operating across multiple geographies in a global banking environment.
We recognise that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees' religious practices and beliefs, as well as mental health or physical disability needs.
AI Use Case Business Lead-Trade and Working Capital â Vice President - London employer: 慨正橡扯
As a leading player in the financial services sector, our company offers an exceptional work environment for the AI Use Case Business Lead role in London. We pride ourselves on fostering a culture of innovation and collaboration, providing ample opportunities for professional growth and development while championing diversity and inclusion. With a focus on upskilling and AI literacy initiatives, employees are empowered to drive impactful change and contribute to cutting-edge projects that shape the future of trade and working capital.
StudySmarter Expert Advice🤫
We think this is how you could land AI Use Case Business Lead-Trade and Working Capital â Vice President - London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI or finance. A casual chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or relevant work experience. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and finance-related questions. Practice articulating how your experience aligns with the role, especially around translating business needs into technical requirements.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Use Case Business Lead-Trade and Working Capital â Vice President - London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI and trade finance. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Stakeholder Management Skills:Since this role involves a lot of collaboration, it’s crucial to demonstrate your ability to manage relationships across different teams. Share examples of how you've successfully worked with various stakeholders in the past.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experiences and how they relate to the job. We appreciate brevity but also want to understand the depth of your expertise.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at 慨正橡扯
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning concepts. Understand how they apply to trade finance and transaction banking, as this will help you engage credibly with technical specialists during the interview.
✨Showcase Your Business Acumen
Be ready to discuss your experience in trade finance or corporate banking. Highlight specific examples where you've identified high-impact AI opportunities and how you translated business needs into technical requirements.
✨Demonstrate Stakeholder Management Skills
Prepare to talk about your experience managing stakeholders across various functions. Share examples of how you've successfully communicated and collaborated with senior leadership and technical teams to drive AI initiatives.
✨Prioritisation is Key
Think about how you would prioritise AI use cases based on business value and feasibility. Be prepared to discuss your approach to managing a multi-workstream portfolio and how you ensure alignment with strategic goals.
