At a Glance
- Tasks: Shape AI use cases from concept to production, bridging business and tech.
- Company: Join a leading firm in AI delivery for commercial operations.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with exposure to cutting-edge AI technologies and collaborative teams.
- Why this job: Make a real impact by driving AI initiatives and transforming businesses.
- Qualifications: 7+ years in Business Analysis with Agile experience and strong analytical skills.
The predicted salary is between 60000 - 80000 € per year.
Aubay are seeking a Business Analyst to join our supermajor client's AI delivery team for Commercial Operations, acting as a shared capability across portfolios. The role focuses on shaping AI use cases from problem statement to production, enabling consistent intake, prioritisation, and value assessment, bridging business demand with AI delivery, governance, and IT processes, and preventing AI initiatives from stalling at PoC stage.
Required skills and experience:
- 7+ years of Business Analysis expertise, including requirements capture, functional/non-functional analysis, solution assessment, risk/impact evaluation and strong hands-on delivery exposure
- Experience working in Agile, iterative delivery environments
- Proficiency with JIRA, Confluence, Excel, SQL, and Power BI / Tableau
- Familiarity with AI‑adjacent tooling and concepts (e.g., document automation, agents, NLP, LLMs)
- Experience supporting data or AI solutions moving into production
- Bachelor’s or Master’s degree in IT, Business Administration, Data, or related field
- Ability to take initiative, adapt analysis approaches based on timelines and risk, and own deliverables end-to-end
Desired skills and experience:
- CBAP (Certified Business Analysis Professional) or PMI-PBA certification
- Agile certifications/trainings
- AI/automation use case storytelling and value articulation
- Change management and adoption planning
- Business process modelling and service design
- Experience working in federated or centralised capability models
- Exposure to Commercial Operations or Trading & Supply environments
Role Responsibilities:
- AI Use Case & Value Analysis: Partner with Commercial Operations teams to identify, frame, and prioritise AI use cases; translate business problems into clear AI‑ready use cases, including objectives, success criteria, expected business value, and data inputs; support value tracking and benefits realisation from initial hypothesis to post‑deployment review; ensure reuse of patterns, components, and learnings across portfolios.
- Business Analysis & Delivery: Elicit and document lean, outcome‑driven requirements suitable for AI and data products; map current‑state processes and identify automation and augmentation opportunities; define acceptance criteria focused on business outcomes; support PoC‑to‑production transition by clarifying scope, risks, dependencies, and readiness; act as end‑to‑end Business Analyst owner for multiple AI initiatives in parallel.
- Stakeholder & Governance Engagement: Lead discovery workshops and structured problem‑framing sessions; act as a bridge between business, AI engineers, IT architecture, security, and governance; support consistent engagement with demand management, risk, and compliance processes; provide clear, concise updates to leadership on progress, value, and risks.
- Tools & Ways of Working: Work within Agile, iterative delivery environments with experimentation cycles; use JIRA and Confluence for structured delivery and documentation; use Excel and SQL for analysis and validation; use Power BI / Tableau for value and performance tracking; support data or AI solutions moving into production.
AI Business Analyst in London employer: Aubay UK
Aubay is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the AI delivery team for Commercial Operations. Employees benefit from extensive growth opportunities, including access to cutting-edge AI tools and methodologies, while working in an Agile environment that encourages initiative and adaptability. Located in a vibrant area, Aubay provides a supportive atmosphere where your contributions directly impact the success of AI initiatives, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land AI Business Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI and business analysis. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your experience effectively.
✨Tip Number 3
Showcase your skills through real-world examples. Bring along case studies or projects you've worked on that highlight your ability to bridge business needs with AI solutions. This will set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Business Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Business Analyst. Highlight your 7+ years of experience in business analysis and any relevant skills like JIRA, SQL, or Agile methodologies. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how you can bridge the gap between business and technology. Share specific examples of your past successes in similar roles to grab our attention.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—show us how you've used them to solve real business problems. We love candidates who can translate complex issues into clear, actionable AI use cases, so give us the goods!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Aubay UK
✨Know Your AI Use Cases
Before the interview, brush up on how to translate business problems into AI use cases. Be ready to discuss specific examples where you've identified and prioritised AI initiatives, as this will show your understanding of the role's core responsibilities.
✨Master the Tools
Familiarise yourself with JIRA, Confluence, Excel, SQL, and Power BI / Tableau. Be prepared to talk about how you've used these tools in past projects, especially in Agile environments, to demonstrate your hands-on delivery experience.
✨Showcase Your Stakeholder Engagement Skills
Think of instances where you've led workshops or engaged with various stakeholders. Highlight your ability to bridge gaps between business needs and technical teams, as this is crucial for the role and will set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and adaptability. Prepare to discuss how you've handled risks, dependencies, and scope changes in previous projects, particularly in AI or data solutions, to illustrate your end-to-end ownership capabilities.
