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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 ensures AI agents, automations, and decision-makers have access to accurate, well-structured, and actionable information by working across various systems including Salesforce, event platforms, marketing systems, and AI knowledge sources. The position focuses on improving data quality, building analytical capabilities, supporting retrieval-augmented generation (RAG), identifying commercial opportunities, and measuring the performance of deployed agents. It is a hands-on, business-facing role 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 information used by Agent Factory.
Identify trends, risks, and commercial or operational opportunities within WWE datasets.
Support secure, reliable data flows between approved 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 across the Agent Factory ecosystem.
Prepare evaluation datasets and test cases for assessing agent outputs.
Translate business data into reusable agent skills, tools, and intelligence services with Agent Engineers.
Monitor data-related failure patterns and recommend improvements to source content, retrieval, and agent behavior.
Design dashboards, scorecards, and reporting for visibility of business performance.
Define and track measures for agent adoption, accuracy, time saved, operational impact, and commercial value.
Evaluate the effectiveness and return on investment 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 better 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 by working with departments across WWE.
Translate business questions into clear analytical work and practical data products.
Present complex findings concisely and accessibly to technical and non-technical audiences.
Promote responsible, evidence-led use of data and AI across the organization.
Document analytical methods, data definitions, and reusable assets for scalability.
Occasionally work outside standard hours to support events or meet key 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 the communication of 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
API integration
Structured data integration
KPI design
Dashboarding
Data privacy
Access control
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 modelling
Segmentation
Recommendation systems
Marketing attribution
Customer journey analytics
Revenue analysis
Data products
Analytical services

Location

Borough, South London (SE1 1EP)

Work Type

Fixed-term contract

Experience Level

Professional experience

Salary/Compensations

Competitive salary

Benefits

28 days holiday plus UK bank holidays pro-rata
Additional holiday days awarded for length of service
Centrally located London office with a summer terrace
Regular employee social events
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, facilitating meaningful relationships.
Innovation drives their evolution, embracing AI to elevate personalization, streamline event design, and create smarter experiences.
Private Luxury Events delivers world-class experiences to the luxury travel community through its event brands Amour, Private Luxury, TFest, and Ultra, prioritizing the human experience.
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 beautifully crafted events that spark meaningful engagement, from curated 1-2-1 meetings to immersive moments.

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.