Jobs at YouGov

Own a multi-sector territory and revenue target, generating, qualifying, forecasting, and closing complex new-business opportunities across YouGov’s data, analytics, and research solutions. Lead discovery, pitches, negotiations, pricing, and client relationships while partnering with Research, Product, and SDR teams. Use Salesforce, Gong, and YouGov platforms to manage pipelines, develop data-led proposals, identify growth opportunities, and support account expansion.

Owns project management across the Enterprise Systems and IT portfolio, developing business cases, ROI models, project plans, RAID logs, governance, and status reporting. Transitions mobilized projects into delivery, managing scope, budgets, risks, suppliers, stakeholders, benefits realization, business-as-usual handover, and post-implementation reviews. The role also creates reusable portfolio frameworks and provides senior leaders with accurate portfolio health reporting.

Leads YouGov’s UK Sport division, overseeing commercial growth, sales strategy, client servicing, team performance, contract negotiations, and delivery quality. Builds relationships across the UK sports sector, manages a team of 20+ employees, develops syndicated and custom research opportunities, supports marketing and thought leadership, and partners with Product and Data teams to improve sector offerings, workflows, integrations, and client deliverables.

Conduct quantitative public-sector and charity research from questionnaire design through data analysis, reporting, and client presentations. Manage projects with support, interpret findings, maintain quality, communicate clearly with clients and colleagues, and contribute to studies across social and public-policy topics.

Owns the application of AI and LLM capabilities across YouGov Sport’s data products. Defines use cases and requirements, designs evaluation frameworks, validates outputs, governs data access, coordinates AWS and third-party partners, and develops scalable AI deployment practices. The role collaborates with product, data, BI, commercial, and client-facing teams to ensure AI features are accurate, explainable, relevant, and valuable.