AI Data & Insights Officer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Develop and sustain datasets, models, and insights that aid AI agents and inform business decisions.

• Aggregate, cleanse, and organize data from Salesforce, event platforms, marketing systems, and operational tools.

• Establish data-quality, metadata, and governance standards for Agent Factory information.

• Detect trends, risks, and commercial or operational opportunities within company datasets.

• Facilitate secure and reliable data flows between authorized systems and agent solutions.

• Create and uphold knowledge bases and retrieval frameworks.

• Assist in the design, testing, and optimization of RAG capabilities.

• Prepare evaluation datasets and test cases to assess agent outputs.

• Convert business data into reusable agent skills, tools, and intelligence services.

• Monitor patterns of data-related failures and suggest enhancements.

• Design dashboards, scorecards, and reporting for enhanced business performance visibility.

• Define and monitor agent adoption, accuracy, time savings, operational impact, and commercial value.

• Assess the effectiveness and return on investment of AI agents and automations.

• Generate actionable insights for leadership and business teams.

• Establish repeatable methods for tracking and communicating the value of Agent Factory.

• Develop insights that support customer retention, buyer and supplier engagement, sales efficacy, event performance, and workflow optimization.

• Investigate predictive and segmentation methodologies.

• Transform analytical findings into recommendations, prioritized opportunities, and next actions.

• Assist teams in transitioning from descriptive reporting to decision intelligence and next-best-action capabilities.

• Collaborate with departments across WWE to grasp data, reporting, and insight requirements.

• Translate business inquiries into analytical tasks and practical data products.

• Present complex conclusions to both technical and non-technical audiences.

• Advocate for responsible, evidence-based utilization of data and AI.

• Document analytical methodologies, data definitions, and reusable assets.

• Occasionally work beyond standard hours to assist with events or adhere to critical deadlines.

• Report directly to the Head of AI Implementation.

⛳️ Requirements

• Professional experience in data analysis, business intelligence, analytics engineering, or a closely related field.

• Strong background in data preparation, cleansing, modeling, and quality assurance.

• Proficient in SQL and visualization tools such as Power BI, Microsoft Fabric, or similar platforms.

• Experience with CRM, customer, commercial, or operational data; familiarity with Salesforce is particularly relevant.

• Capability to integrate information from multiple systems and work effectively with APIs or structured data integrations.

• Strong grasp of KPI design, dashboarding, and conveying actionable insights.

• Ability to distill complex evidence into clear business recommendations.

• Excellent problem-solving, critical-thinking, and attention-to-detail skills.

• Strong communication and stakeholder management abilities.

• Solid understanding of data privacy, access control, and the responsible use of business information.

• Curiosity about AI, automation, and the practical implementation of emerging technologies.

• 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 comparable agent platforms.

• Proven record of measuring AI, automation, or digital product performance.

• Knowledge of predictive analytics, propensity modeling, segmentation, or recommendation systems.

• Understanding of marketing attribution, customer journey analytics, or revenue analysis.

• Ability to design trustworthy data products or reusable analytical services for consumption by other systems.

• Background in supporting AI transformation, digital transformation, or cross-functional change initiatives.

• Experience in the events and/or travel industry.

🏝️ Benefits

• Competitive salary.

• 28 days of holiday plus UK bank holidays pro-rata, with additional days awarded for length of service.

• A centrally located London office featuring a summer terrace, within walking distance of the renowned Borough Market.

• Regular employee social events organized by our Happiness & Culture team.

• Monthly contributions 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!