{"absolute_url":"https://job-boards.greenhouse.io/wpp/jobs/8863694002","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":6548590002,"location":{"name":"London, England, United Kingdom"},"metadata":null,"id":8863694002,"updated_at":"2026-10-15T05:14:12-04:00","requisition_id":"11684","title":"VP Statistical Measurement","company_name":"WPP","first_published":"2026-10-15T05:14:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;WPP is the trusted growth partner for the world’s leading brands.\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;We work with the world\u0026#39;s most valuable brands and have global reach across 100+ markets, with deep local expertise.\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Our people are the key to our success. We\u0026#39;re committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;For more information, visit \u0026lt;a href=\u0026quot;https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwpp.com%2F\u0026amp;amp;data=05%7C02%7CErica.Durr%40wpp.com%7C9bf4566a65bc46a48ac008de749116ea%7C150b5e663d884dee83f6ed149b727a00%7C0%7C0%7C639076363668176216%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;amp;sdata=Q9juosud56XGLThSFZ1NpPZd6FXpJPxV74OeRZWoh%2B4%3D\u0026amp;amp;reserved=0\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;WPP.com.\u0026lt;/a\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;About the role\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p class=\u0026quot;isSelectedEnd\u0026quot;\u0026gt;We’re looking for a \u0026lt;strong\u0026gt;VP, Statistical Measurement\u0026lt;/strong\u0026gt; to lead statistical methodology, measurement standards and quantitative quality across our \u0026lt;strong\u0026gt;Open Intelligence Solutions (OIS)\u0026lt;/strong\u0026gt; portfolio.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;isSelectedEnd\u0026quot;\u0026gt;This is a senior leadership role within Strategic Data Science, focused on ensuring that the analytical work we produce is \u0026lt;strong\u0026gt;rigorous, credible and commercially meaningful\u0026lt;/strong\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;isSelectedEnd\u0026quot;\u0026gt;You’ll be the organisation’s authority on statistical methodology and numerical quality, helping teams turn complex data into robust evidence that clients and senior stakeholders can trust. You’ll shape the evolution of \u0026lt;strong\u0026gt;Marketing Mix Modelling (MMM), attribution, incrementality, causal inference and experimental design\u0026lt;/strong\u0026gt;, while establishing consistent standards for validation, statistical quality assurance and communicating uncertainty.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;isSelectedEnd\u0026quot;\u0026gt;You’ll also play an important role in preparing the organisation for an increasingly \u0026lt;strong\u0026gt;AI-assisted analytical environment\u0026lt;/strong\u0026gt;, ensuring that both people and AI-enabled workflows apply statistical methods responsibly and communicate findings accurately.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;What you’ll do\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;h4\u0026gt;Own statistical methodology and measurement standards\u0026lt;/h4\u0026gt;\n\u0026lt;ul data-spread=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;Own statistical methodology and measurement standards across the OIS portfolio.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure analytical approaches are technically rigorous, fit for purpose and consistently applied.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish standards for statistical hygiene, validation, uncertainty and quantitative quality assurance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure analytical claims are supported by robust experimental, causal and econometric evidence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as the organisation’s authority on numerical quality, measurement credibility and analytical validity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Challenge weak assumptions, over-claims and methodological risks before outputs reach senior stakeholders or clients.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Shape the future of measurement\u0026lt;/h4\u0026gt;\n\u0026lt;ul data-spread=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;Lead the evolution of \u0026lt;strong\u0026gt;MMM and econometric measurement capabilities\u0026lt;/strong\u0026gt;, ensuring approaches are robust, interpretable and aligned to commercial decision-making.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop frameworks and practical guidance for \u0026lt;strong\u0026gt;attribution, causal inference, experimental design and incrementality\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create validation frameworks and QA mechanisms that increase confidence in measurement outputs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish best practices around model diagnostics, sensitivity testing and evidence thresholds.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner directly with clients and senior stakeholders to ensure measurement outputs are credible, understandable and commercially actionable.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;Build statistical capability across the organisation\u0026lt;/h4\u0026gt;\n\u0026lt;ul data-spread=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;Develop tools, frameworks and approaches that improve statistical storytelling, insight communication and data visualisation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and develop Senior Measurement Scientists and Statistical Specialists across areas including econometrics, MMM, experimental design, incrementality, attribution, causal inference, statistical QA and validation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build statistical education and capability programmes that raise the standard of analytical thinking across the organisation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help develop responsible \u0026lt;strong\u0026gt;AI-assisted analytical workflows\u0026lt;/strong\u0026gt;, ensuring statistical methods are applied appropriately and outputs are communicated clearly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with OIS R\u0026amp;amp;D, Product, Enterprise Technology, Data Platform, DTS Product \u0026amp;amp; Engineering, WPP Open, domain leads and applied AI teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;What we’re looking for\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p class=\u0026quot;isSelectedEnd\u0026quot;\u0026gt;We’re looking for an experienced statistical or measurement leader who combines \u0026lt;strong\u0026gt;deep technical expertise with strong commercial judgement and the ability to influence at senior level\u0026lt;/strong\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;isSelectedEnd\u0026quot;\u0026gt;You’ll bring:\u0026lt;/p\u0026gt;\n\u0026lt;ul data-spread=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;li\u0026gt;Significant experience leading \u0026lt;strong\u0026gt;statistical, measurement, econometric or data-science capabilities\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in areas such as \u0026lt;strong\u0026gt;MMM, econometrics, attribution, causal inference, incrementality and experimental design\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong understanding of statistical methodology, model validation and quantitative quality assurance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience establishing measurement standards, frameworks or best practices across complex organisations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The ability to assess analytical approaches critically and identify methodological risks, weak assumptions and unsupported conclusions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience translating sophisticated statistical concepts into clear, commercially relevant recommendations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong client-facing and stakeholder management experience, with the ability to build trust in complex measurement outputs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading and developing senior statistical, measurement or data-science specialists.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An interest in the application of \u0026lt;strong\u0026gt;AI to analytical workflows\u0026lt;/strong\u0026gt;, with a clear understanding of the importance of statistical rigour and responsible use.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills, particularly the ability to tell a compelling story from complex statistical evidence.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Who you are:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You\u0026#39;re open\u0026lt;em\u0026gt;:\u0026lt;/em\u0026gt; \u0026lt;/strong\u0026gt;We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You\u0026#39;re optimistic\u0026lt;em\u0026gt;:\u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt; \u0026lt;span id=\u0026quot;628d56ad5d8a35dab853e65d9daa237c\u0026quot; class=\u0026quot;editor-module-hl-green-solid\u0026quot;\u0026gt;We believe\u0026lt;/span\u0026gt; in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You\u0026#39;re extraordinary:\u0026lt;/strong\u0026gt; we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What we\u0026#39;ll give you:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Passionate, inspired people\u0026lt;/strong\u0026gt; – We aim to create a culture in which people can do extraordinary work.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scale and opportunity\u0026lt;/strong\u0026gt; – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Challenging and stimulating work\u0026lt;/strong\u0026gt; – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;color: rgb(236, 240, 241);\u0026quot;\u0026gt;#LI-Hybrid\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We believe the best work happens when we\u0026#39;re together, fostering creativity, collaboration, and connection. That\u0026#39;s why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Please read our Privacy Notice (\u0026lt;a href=\u0026quot;https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment\u0026quot;\u0026gt;https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment\u0026lt;/a\u0026gt;) for more information on how we process the information you provide.\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4060820002,"name":"Technology \u0026 Innovation","child_ids":[],"parent_id":null}],"offices":[{"id":4040357002,"name":"United Kingdom","location":null,"child_ids":[4133793002,4007815002,4098031002],"parent_id":4036713002}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null}