AI Data & Insights Officer

Private Luxury Events

5d • Onsite

About The Position

The AI Data & Insights Officer is responsible for transforming Worldwide Events Group's (WWE) business data into reliable insights, reusable intelligence, and measurable value. This role operates within the Agent Factory, ensuring that AI agents, automations, and decision-makers have access to accurate, well-structured, and actionable information. The officer will work across various systems including Salesforce, event platforms, marketing systems, operational tools, and AI knowledge sources to enhance data quality, build analytical capabilities, support retrieval-augmented generation (RAG), identify commercial opportunities, and measure the performance of deployed agents. This is a hands-on, business-facing position at the intersection of data analysis, business intelligence, AI enablement, and commercial decision-making. It is an initial six-month fixed-term contract with potential for extension, reporting to the Head of AI Implementation.

Requirements

• Professional experience in data analysis, business intelligence, analytics engineering, or a closely related role.
• Strong experience of data preparation, cleansing, modelling, 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.

Nice To Haves

• Practical experience with RAG architectures, semantic search, vector databases, or AI knowledge-management systems.
• Strong understanding of large language models, machine-learning concepts, and agent evaluation methods.
• Proficiency in Microsoft Copilot Studio, Azure AI services, or related Microsoft technologies.
• Familiarity with OpenClaw, Hermes, or similar agent platforms.
• Track record of measuring AI, automation, or digital-product performance.
• Knowledge of predictive analytics, propensity modelling, segmentation, or recommendation systems.
• Understanding of marketing attribution, customer journey analytics, or revenue analysis.
• Ability to design trusted data products or reusable analytical services for consumption by other systems.
• Background supporting AI transformation, digital transformation, or cross-functional change programs.
• Background in the events and/or travel industry.

Responsibilities

• Develop and maintain datasets, models, and insights that support AI agents and business decision-making.
• Consolidate, cleanse, and structure information from Salesforce, event platforms, marketing systems, and operational tools.
• Define practical 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 that 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.
• Work with Agent Engineers and Agentic Capability Engineers to translate business data into reusable agent skills, tools, and intelligence services.
• Monitor data-related failure patterns and recommend improvements to source content, retrieval, and agent behavior.
• Design dashboards, scorecards, and reporting that provide meaningful 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 rather than producing reporting for its own sake.
• Establish repeatable methods for monitoring and communicating the value created by Agent Factory.
• Develop insight that supports customer retention, buyer and supplier engagement, sales effectiveness, event performance, and workflow improvement.
• Explore predictive and segmentation approaches where they can support better business decisions.
• Turn analytical findings into clear recommendations, prioritized opportunities, and defined next actions.
• Help teams move from descriptive reporting towards decision intelligence and next-best-action capabilities.
• Work with departments across WWE to understand their data, reporting, and insight requirements.
• Translate business questions into clear analytical work and practical data products.
• Present complex findings in a concise, accessible way 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 so capabilities can scale.
• Occasionally work outside standard hours to support events or meet key deadlines.

Benefits

• Competitive salary.
• 28 days holiday plus UK bank holidays pro-rata, with additional days awarded for length of service.
• A centrally located London office with a summer terrace within walking distance of the world‑famous Borough Market.
• Regular employee social events supported by our Happiness & Culture team.
• Monthly contribution towards Bupa private health insurance (post probation).
• Employee Assistance Program offering confidential wellbeing support.
• Enhanced maternity and paternity leave to support growing families.
• 4 pm Friday finish!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed