Responsibilities

• Serve as the executive voice and external thought leader for the future of B2B measurement, marketing effectiveness, and AI-driven marketing transformation.
• Engage with senior customer stakeholders, including CMOs, CFOs, CPOs, Boards, and product leaders, as a trusted advisor and peer.
• Challenge traditional approaches to attribution and measurement, particularly in complex B2B buying environments with long sales cycles and multiple decision-makers.
• Pioneer LinkedIn’s point of view on LLM presence and agentic engine optimization, helping customers understand how brands are surfaced and represented within AI systems.
• Build and lead a world-class Marketing Science organization focused on delivering end-to-end customer recommendations across measurement, campaign setup, creative optimization, and data integrations.
• Define and evolve LinkedIn’s methodologies for scientific rigor, including causal inference, geo-testing, incrementality, conversion lift, and unified B2B measurement frameworks.
• Establish the long-term vision, operating model, and strategic roadmap for the organization while enabling scalable execution.
• Drive measurable business impact by improving customer ROI, marketing efficiency, pipeline contribution, conversion performance, and revenue outcomes.
• Connect marketing, product, measurement, and GTM execution into a unified operating model through systems thinking and cross-functional leadership.
• Partner closely with Product and Engineering to develop scalable, productized measurement capabilities and testing frameworks.

Requirements

• 15+ years of experience in marketing science, analytics, measurement, data science, RevOps, advertising technology, or related fields.
• 10+ years of executive-level leadership experience managing global, cross-functional teams.

Preferred

• Deep expertise in marketing measurement methodologies, including attribution, incrementality, causal inference, experimentation, and media mix modeling.
• Experience partnering with Product, Engineering, Sales, and GTM organizations to develop scalable measurement solutions.
• Demonstrated experience engaging with senior executives and external customers on business strategy, marketing effectiveness, and measurement transformation.
• Experience building and scaling high-performing analytics, data science, or marketing science organizations.
• Strong understanding of AI, LLM-driven discovery, and agentic experiences, and their impact on marketing, measurement, and brand visibility.
• Expertise in B2B marketing measurement and RevOps ecosystems, including account-level identity resolution, buying group journey mapping, and pipeline analytics.
• Knowledge of privacy-safe measurement frameworks, first-party data ecosystems, Data Clean Rooms, and Privacy-Enhancing Technologies (PETs).
• Proven ability to translate complex technical concepts into compelling customer-facing narratives and commercial outcomes.
• Strong systems-thinking orientation with the ability to connect product, measurement, GTM, and customer strategy into a cohesive operating model.
• Demonstrated ability to balance strategic vision with operational execution and measurable business impact.