AI Data & Insights Officer

M&I

5d • Onsite

About The Position

The AI Data & Insights Officer is responsible for turning WWE's business data into reliable insight, reusable intelligence and measurable value. Working within Agent Factory, you will ensure that AI agents, automations and decision-makers can access accurate, well-structured and actionable information. You will work across Salesforce, event platforms, marketing systems, operational tools and AI knowledge sources to improve 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 role at the intersection of data analysis, business intelligence, AI enablement and commercial decision-making. This is an initial six-month fixed-term contract opportunity, with the 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 visualisation 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 programmes.
• 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 optimisation 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 behaviour.
• 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, prioritised 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 organisation.
• Document analytical methods, data definitions and reusable assets so capabilities can scale.
• Due to the nature of our work, you may occasionally be required to 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