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About the Role

The AI Data & Insights Officer will transform business data into reliable insights, reusable intelligence, and measurable value. This role supports AI agents and automations by ensuring access to accurate, well-structured, and actionable information within the Agent Factory ecosystem. It involves working across various platforms to enhance data quality, build analytical capabilities, support RAG, identify commercial opportunities, and measure agent performance. This is a hands-on, business-facing position at the intersection of data analysis, business intelligence, AI enablement, and commercial decision-making. This is an initial six-month fixed-term contract with potential for extension.

Responsibilities

Develop and maintain datasets, models, and insights to support AI agents and business decision-making.
Consolidate, cleanse, and structure information from Salesforce, event platforms, marketing systems, and operational tools.
Define data-quality, metadata, and governance standards for Agent Factory.
Identify trends, risks, and commercial or operational opportunities within datasets.
Support secure and reliable data flows between systems and agent solutions.
Create and maintain knowledge bases and retrieval structures to improve agent accuracy and usefulness.
Support the design, testing, and optimization of RAG capabilities.
Prepare evaluation datasets and test cases for assessing agent outputs.
Translate business data into reusable agent skills, tools, and intelligence services.
Monitor data-related failure patterns and recommend improvements.
Design dashboards, scorecards, and reporting for business performance visibility.
Define and track measures for agent adoption, accuracy, time saved, operational impact, and commercial value.
Evaluate the effectiveness and ROI of AI agents and automations.
Develop actionable insight for leadership and business teams.
Establish repeatable methods for monitoring and communicating the value created by Agent Factory.
Develop insight to support customer retention, buyer and supplier engagement, sales effectiveness, event performance, and workflow improvement.
Explore predictive and segmentation approaches to support business decisions.
Turn analytical findings into clear recommendations, prioritized opportunities, and defined next actions.
Help teams transition from descriptive reporting to decision intelligence and next-best-action capabilities.
Understand data, reporting, and insight requirements from various departments.
Translate business questions into analytical work and data products.
Present complex findings concisely to technical and non-technical audiences.
Promote responsible, evidence-led use of data and AI.
Document analytical methods, data definitions, and reusable assets for scalability.
Occasionally work outside standard hours to support events or meet deadlines.

Requirements

Professional experience in data analysis, business intelligence, analytics engineering, or a closely related role.
Strong experience in data preparation, cleansing, modeling, and quality assurance.
Experience using SQL and visualization tools such as Power BI, Microsoft Fabric, or equivalent platforms.
Experience working with CRM, customer, commercial, or operational data; Salesforce experience is particularly relevant.
Ability to combine information from multiple systems and work effectively with APIs or structured data integrations.
Strong understanding of KPI design, dashboarding, and communicating actionable insight.
Ability to translate complex evidence into clear business recommendations.
Excellent problem-solving, critical-thinking, and attention-to-detail skills.
Strong communication and stakeholder-management skills.
Sound understanding of data privacy, access control, and responsible use of business information.
Curiosity about AI, automation, and the practical application of emerging technology.

Skills

SQL
Power BI
Microsoft Fabric
Salesforce
APIs
Data Visualization
Data Analysis
Business Intelligence
Analytics Engineering
Data Preparation
Data Cleansing
Data Modeling
Data Quality Assurance
KPI Design
Dashboarding
Actionable Insight Communication
Problem-Solving
Critical-Thinking
Attention-to-Detail
Communication
Stakeholder Management
Data Privacy
Access Control
Responsible Data Use
AI
Automation
RAG architectures
Semantic search
Vector databases
AI knowledge-management systems
Large language models
Machine-learning concepts
Agent evaluation methods
Microsoft Copilot Studio
Azure AI services
OpenClaw
Hermes
Predictive analytics
Propensity modeling
Segmentation
Recommendation systems
Marketing attribution
Customer journey analytics
Revenue analysis
Data products
Analytical services

Location

Borough, South London (SE1 1EP)

Work Type

Full-time
Fixed-term contract

Experience Level

Professional experience

Salary/Compensations

Competitive Salary

Benefits

28 days' holiday plus UK bank holidays pro-rata
Additional days awarded for length of service
Monthly contribution towards Bupa private health insurance (post-probation)
Employee Assistance Program
Enhanced maternity and paternity leave
4 pm Friday finish

About the Company

Worldwide Events Group, founded in 2004, is a recognised leader in global MICE and luxury travel.
The company's philosophy is H2H, human-to-human connection, aiming to bring people together and facilitate meaningful relationships.
Worldwide Events Group is embracing AI to elevate personalization, streamline event design, and create smarter, more intuitive experiences.
The company operates through two brands: Private Luxury Events and M&I.
Private Luxury Events delivers world-class experiences to the luxury travel community through its event brands: Amour, Private Luxury, TFest, and Ultra.
M&I brings together high-calibre meeting planners and exhibitors from the hospitality industry through events across Europe, the Middle East, and the Americas, including M&I Expo, M&I Flagship, M&I Healthcare, and M&I Luxe.
M&I creates crafted events that spark meaningful engagement, from curated 1-2-1 meetings to immersive moments showcasing destinations, hotels, venues, and MICE services.

Equal Opportunity

We foster an environment where everyone feels respected, valued, and able to thrive.
We welcome individuals of all backgrounds, identities, and lived experiences, including differences in gender identity, orientation, expression, age, race, ethnicity, physical or mental ability, neurodiversity, religion or belief, and socio-economic background.
Our diversity strengthens our perspective, fuels innovation, and deepens our connection to the clients and communities we serve around the world.