At a Glance
- Tasks: Identify AI opportunities and support their implementation to drive business change.
- Company: Join JCDecaux, a diverse and inclusive employer committed to growth and innovation.
- Benefits: Flexible working, career development, and a supportive team culture.
- Other info: Dynamic environment with a focus on continuous learning and employee well-being.
- Why this job: Make a real impact by bridging business and technology with AI solutions.
- Qualifications: Degree in a relevant field and experience in business analysis, especially with AI projects.
The predicted salary is between 70000 - 90000 £ per year.
This job is with JCDecaux, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
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. Acting as a bridge between business and IT, the AI Business Analyst helps prioritise and govern AI initiatives, ensuring they deliver measurable value and align with strategic goals. The role plays a key part in embedding JCDecaux UK's vision and mission by using AI, data and automation to drive growth, efficiency and high service levels for internal and external stakeholders.
What you'll be doing...
- 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.
A little bit about you...
- 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.
A little bit more about us...
We believe in building a diverse and inclusive culture and positive employee experience. We are One Team, more than just ourselves. We are customer first, we understand, and help solve our customers' problems. We Test & Learn, we are empowered to learn and grow, unafraid of change. We choose to care, we are committed to doing the right thing, the right way. It's really important to us that we give as much to our colleagues as they give to us. Our latest Belonging Survey showed that our colleagues feel valued and listened to as we continue to build an environment where everyone can thrive, grow, belong and be their authentic selves. We believe that diversity of thought, experience and background provides the platform for great creativity. 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. Many of our Colleagues work flexibly in many different ways. Please talk to us at interview about the flexibility you need. We can't promise to give you exactly what you want, but we do promise not to judge you for asking.
About our recruitment process....
- You find or get sent this job advert, read it, and feel like you're you'd be a great addition to the JCD family.
- You send in your application to let us know you're interested.
- We see your application, get excited, and give you a call.
- You'll meet us twice, depending on the role prepare a presentation and we'll get to know each other.
- You'll begin your journey with us, we're excited to support and develop you throughout your career.
AI Business Analyst in Kent employer: JCDecaux
At JCDecaux, we pride ourselves on fostering an inclusive and dynamic work environment where every employee is valued and empowered to grow. As an AI Business Analyst, you will have the opportunity to drive meaningful change through innovative AI solutions while collaborating with diverse teams in a culture that prioritises learning and creativity. Our commitment to flexibility and employee well-being ensures that you can thrive both personally and professionally in our vibrant UK office.
StudySmarter Expert Advice🤫
We think this is how you could land AI Business Analyst in Kent
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at JCDecaux. Use LinkedIn to connect and engage with them. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for interviews by practising common questions related to AI and business analysis. Think about how you can showcase your experience in translating complex data into actionable insights. We want to see your problem-solving skills in action!
✨Tip Number 3
Showcase your passion for AI and data! During interviews, share examples of how you've used these tools to drive business change. This will help us see your enthusiasm and fit for the role.
✨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, it shows you’re genuinely interested in joining our team at JCDecaux.
We think you need these skills to ace AI Business Analyst in Kent
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI and data analytics. We want to see how your skills align with the specific needs of the AI Business Analyst role at JCDecaux.
Showcase Your Communication Skills:Since this role involves liaising between business and technical teams, it's crucial to demonstrate your ability to communicate complex ideas clearly. Use examples in your application that showcase your facilitation and stakeholder management skills.
Highlight Relevant Experience:Don’t forget to emphasise your past experiences in similar roles, especially those involving AI or advanced analytics projects. We’re looking for someone who can hit the ground running, so make it easy for us to see your relevant background.
Apply Through Our Website:We encourage you 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 shows you’re keen on joining our team!
How to prepare for a job interview at JCDecaux
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, machine learning, and advanced analytics. Be ready to discuss how these technologies can solve business problems and add value. Prepare some examples of successful AI projects you've been involved in to showcase your experience.
✨Master the Art of Communication
As an AI Business Analyst, you'll need to bridge the gap between technical teams and business stakeholders. Practice explaining complex concepts in simple terms. Think about how you can present your ideas clearly and effectively, especially when discussing requirements and use cases.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse a business problem or design an AI solution. Prepare by thinking through potential scenarios related to JCDecaux's objectives. Show how you would identify opportunities, assess feasibility, and prioritise initiatives based on value and impact.
✨Show Your Stakeholder Management Skills
Highlight your experience in managing stakeholder expectations and facilitating workshops. Be ready to discuss how you've successfully navigated multi-stakeholder environments in the past. Share specific examples of how you've communicated progress and outcomes to senior management.
