AI Business Analyst

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.