At a Glance
- Tasks: Identify AI opportunities and support business change through innovative solutions.
- Company: Join JCDecaux UK, a leader in outdoor advertising with a focus on AI.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic work environment with a commitment to diversity and equal opportunities.
- Why this job: Be at the forefront of AI transformation and make a real impact in business.
- Qualifications: Degree in relevant field and 7 years' experience in business analysis, preferably with AI.
The predicted salary is between 70000 - 90000 £ per year.
The AI Business Analyst is responsible for identifying, shaping and supporting the delivery of AI‑enabled business change across JCDecaux UK. The role focuses on understanding business objectives and pain points, translating them into clear AI and data use cases, and working with technical teams to ensure successful implementation and adoption of AI solutions.
Responsibilities
- Work with business stakeholders to identify opportunities where AI and advanced analytics can add value, and maintain an AI opportunity pipeline with value, risk and dependencies.
- Facilitate workshops, interviews and discovery sessions to elicit business problems, desired outcomes and success measures, turning them into well‑defined AI use cases and requirements.
- Elicit, analyse and document business, functional and non‑functional requirements, producing artefacts such as BRDs, user stories, process maps and data requirements for data and engineering teams.
- Assess feasibility, value and impact of AI initiatives, contributing to business cases and supporting prioritisation across the IT and transformation portfolio.
- Analyse “as is” processes and design “to be” AI‑enabled processes that embed models, decision support and automation in a controlled, measurable way.
- Define business data requirements, support data discovery and profiling, and contribute to documentation that improves data transparency and reuse.
- Support solution design, proofs of concept, pilots and business‑facing testing (including UAT and validation of model outputs), capturing feedback to refine solutions.
- Act as liaison between business units and technical teams, managing stakeholder expectations and communicating progress, risks and outcomes to all levels, including senior management.
- Support project and change management activities, including planning, RAID management, adoption strategies, training materials and user training for AI‑enabled changes.
- Define and monitor KPIs and success metrics for AI initiatives, review performance to identify optimisation opportunities, and contribute to continuous improvement of AI delivery practices and standards.
Qualifications
- Degree in Business, Computer Science, Data Science, Engineering, Mathematics or a closely related discipline.
- At least 7 years’ experience as a Business Analyst, ideally with direct involvement in AI, machine learning or advanced analytics projects.
- Strong experience in requirements elicitation, analysis, process mapping and documentation in complex, multi‑stakeholder environments.
- Proven experience working with data‑focused teams (data scientists, data engineers, analysts) and understanding their methods, tools and constraints.
- Familiarity with agile delivery methods (e.g. Scrum, Kanban) and tools such as Jira or Azure DevOps.
- Strong analytical and problem‑solving skills, able to quickly understand business domains, processes and data landscapes.
- Ability to translate complex technical and statistical concepts into clear, business‑friendly language for non‑technical stakeholders.
- Excellent communication, facilitation and stakeholder management skills, including running workshops and presenting to senior audiences.
Desired but not essential
- Business analysis and/or project qualifications (e.g. BCS BA, IIBA CBAP/CCBA, Agile BA, PRINCE2, Scrum, PMI PBA).
- Training or certification in data analytics, AI or machine learning.
- Exposure to cloud‑based data and AI platforms (e.g. Azure, AWS, GCP) and BI tools (e.g. Power BI, Tableau).
- Experience supporting change management, training and adoption for technology‑driven initiatives.
- Experience in media, advertising or related sectors.
We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.
AI Business Analyst in City of Westminster employer: JCDecaux UK Ltd
At JCDecaux UK, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As an AI Business Analyst, you will have the opportunity to work at the forefront of AI technology, contributing to meaningful business change while enjoying comprehensive employee growth opportunities and a commitment to diversity and inclusion. Our supportive environment encourages continuous learning and development, making it an ideal place for professionals looking to make a significant impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Business Analyst in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect 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 researching the company and its AI initiatives. Be ready to discuss how your skills align with their goals and how you can add value to their projects.
✨Tip Number 3
Practice your problem-solving skills! Be prepared to tackle case studies or hypothetical scenarios during interviews. Show them how you think and approach challenges, especially in AI contexts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Business Analyst in City of Westminster
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI and business analysis. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Communication Skills:Since this role involves liaising between technical teams and business stakeholders, it’s crucial to demonstrate your ability to communicate complex ideas clearly. Use examples in your application that illustrate your facilitation and presentation skills.
Highlight Your Analytical Mindset:We’re looking for someone who can analyse processes and identify opportunities for AI integration. Include specific instances where you’ve successfully assessed business needs and translated them into actionable insights or use cases.
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 ensure you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at JCDecaux UK Ltd
✨Know Your AI Use Cases
Before the interview, brush up on common AI use cases relevant to the media and advertising sectors. Be ready to discuss how you can identify business opportunities for AI and translate them into actionable insights. This shows that you understand the role's core responsibilities.
✨Master the Art of Communication
As an AI Business Analyst, you'll need to communicate complex concepts clearly. Practice explaining technical terms in simple language. During the interview, demonstrate your ability to bridge the gap between technical teams and business stakeholders.
✨Showcase Your Analytical Skills
Prepare examples from your past experience where you've successfully analysed business processes or data requirements. Highlight how your analytical skills led to improved outcomes. This will help the interviewers see your problem-solving capabilities in action.
✨Familiarise Yourself with Agile Methodologies
Since familiarity with agile delivery methods is a plus, make sure you understand the basics of Scrum and Kanban. Be ready to discuss how you've applied these methodologies in previous roles, especially in relation to AI projects or data-focused teams.
