Marketing Science Lead

Responsibilities

• Understand privacy-durable data foundations for clients by guiding the implementation of Google’s tagging infrastructure (gTag, Google Tag Manager (GTM), server-side GTM) and first-party data solutions (Data Manager API, Google Cloud integrations) to ensure resilient signal capture.
• Develop measurement plans for advertisers and agencies using incrementality experiments, MMM, and attribution frameworks to prove media value.
• Act as a technical advisor to analytics, finance, and marketing decision-makers; challenge the status quo, build executive partnerships, and deliver compelling data stories that influence business decisions.
• Lead the business-cycle for prioritized data and measurement opportunities across Google Ads and Google Marketing Platform products, managing feature adoption, scaling AI innovation, and accelerating business growth.
• Apply data science, causal inference, and statistical modeling techniques to design incrementality experiments, optimize MMM data inputs, and help clients navigate changing industry privacy standards.
• - Understand privacy-durable data foundations for clients by guiding the implementation of Google’s tagging infrastructure (gTag, Google Tag Manager (GTM), server-side GTM) and first-party data solutions (Data Manager API, Google Cloud integrations) to ensure resilient signal capture. - Develop measurement plans for advertisers and agencies using incrementality experiments, MMM, and attribution frameworks to prove media value. - Act as a technical advisor to analytics, finance, and marketing decision-makers; challenge the status quo, build executive partnerships, and deliver compelling data stories that influence business decisions. - Lead the business-cycle for prioritized data and measurement opportunities across Google Ads and Google Marketing Platform products, managing feature adoption, scaling AI innovation, and accelerating business growth. - Apply data science, causal inference, and statistical modeling techniques to design incrementality experiments, optimize MMM data inputs, and help clients navigate changing industry privacy standards.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor's degree or equivalent practical experience. - 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis. - Experience working with advanced measurement methodologies, including Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), Incrementality testing (Conversion Lift, Brand Lift), or Causal Impact analysis. Preferred qualifications: - Experience in deploying first-party data strategies, customer data systems, and Google’s measurement ecosystem, including Google Analytics, tagging systems (gTag, GTM), and key APIs. - Experience managing and influencing executive stakeholder relationships on recommending ways to improve product and customer strategy. - Ability to execute measurement frameworks, marketing experiments, incrementality testing, causal lift, MMM, and Multi-Touch Attribution. - Ability to consult with executive clients, manage external vendors, and partner across cross-functional teams to drive alignment. - Excellent statistical skills to translate datasets into financial insights, compelling dashboards, and clear executive presentations.