Senior Manager, Advertising Strategy & Intelligence

The OpportunityWe’re partnering with a global, market-leading B2B technology organization undergoing a major transformation of its marketing function to find a Senior Manager of Advertising Strategy & Intelligence.This role will sit at the heart of that transformation, owning how AI is embedded across external marketing and advertising. You’ll define how campaigns are designed, executed, measured, and optimized in a fully modern, AI-first environment.If you’re someone who can bridge advanced AI capabilities with real-world advertising strategy — and want to shape the future of marketing at global scale — this is a rare opportunity to build something meaningful.Why You Should Work HereTransform an entire marketing function: Lead the shift from traditional, agency-led advertising to an in-house, AI-powered modelTrue strategic ownership: Define the roadmap for AI across external marketing and influence investment decisions at scaleEnterprise-wide impact: Your work will shape how marketing drives growth across global markets and customer segmentsAI at the core: Operate at the intersection of advertising, data science, and emerging AI technologiesHighly visible role: Work directly with senior leadership and contribute to broader AI initiatives across the businessGlobal collaboration: Partner across teams spanning marketing, digital, data, and technology functions worldwideThe RoleAs Senior Manager, Advertising Strategy & Intelligence, you’ll act as the central AI authority within external marketing. This is a highly cross-functional, project-led role focused on strategy, experimentation, and scaling modern advertising capabilities.You won’t be managing large teams day-to-day — instead, you’ll lead through influence, driving initiatives across a global, matrixed organization and working closely with agency partners, marketing teams, and technical stakeholders.You’ll play a critical role in redefining how advertising performance is measured, how audiences are targeted, and how AI is operationalized across the marketing lifecycle.What You’ll OwnThe AI transformation roadmap across external marketing and advertisingAdoption and scaling of AI capabilities from pilot programs to enterprise-wide executionModern advertising strategies including personalization, intent-based engagement, and account-based marketingEnd-to-end experimentation strategy: A/B testing, creative optimization, and audience developmentFull-funnel measurement frameworks and next-generation attribution modelsIntegration of audience, campaign, and business performance data into actionable insightsCross-functional alignment between marketing, data, and technology teamsCollaboration and orchestration of external agency partnersWhat We’re Looking ForMust-Haves:8+ years in advertising, marketing technology, digital marketing, or a related fieldStrong experience within large, complex enterprise environmentsProven ability to drive marketing innovation through data and technologyBackground in analytics, marketing science, or advertising strategyProficiency in SQL and statistical analysisExperience with Python or RFamiliarity with BI tools (e.g., Tableau or similar)Hands-on experience with advertising platforms, DSPs, CDPs, or ABM toolsUnderstanding of digital analytics platforms (e.g., GA4 or similar ecosystems)Experience collaborating with data and engineering teams on scalable solutionsStrong stakeholder management skills and ability to influence without direct authorityDemonstrated career stability and progressionNice-to-Haves:Experience working in or with agency analytics / AI teamsExposure to machine learning, LLMs, or AI-driven marketing applicationsExperience with attribution modeling and predictive analyticsFamiliarity with signal-based targeting and synthetic audience developmentKnowledge of agentic workflows or marketing automation frameworksExposure to B2B or technical/industrial sectorsThe StackSQL · Python / R · BI Tools (Tableau or similar) · GA4 / Digital Analytics Platforms · DSPs · CDPs · ABM Platforms · Data Warehousing Concepts · Attribution & Measurement Frameworks · AI / ML Concepts · Experimentation & Testing Frameworks