Google

Runs Search and YouTube and builds Gemini AI

Marketing Science Lead

Growth & MarketingConfirmed live in the last 24 hours

Full-timeToronto, ON, CanadaIn-person

About the Job

Requirements

A Bachelor's degree or equivalent practical experience.
Five years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
Expertise in first-party data strategies, customer data infrastructures (CDP/CRM), and Google's measurement ecosystem, including Google Analytics, Google Ads, tagging systems (gTag, GTM, server-side GTM), and APIs such as Data Manager API and Google Cloud integrations.
Knowledge of online advertising channels including Search, Display, and Video/CTV, and offline channels including TV and OOH; brand analysis techniques; and modern AI-powered marketing tools.
Understanding of brand and performance measurement frameworks, with experience executing marketing experiments, incrementality testing, causal impact analysis, Marketing Mix Modeling (MMM/Meridian), and Multi-Touch Attribution (MTA).
Ability to analyze datasets, apply statistical and financial modeling, and translate quantitative outputs into commercial insights.

Responsibilities

Understand and pitch privacy-durable data foundations for clients by driving implementation of Google's tagging infrastructure (gTag, GTM, server-side GTM) and advanced first-party data solutions (Data Manager API and Google Cloud integrations) to ensure resilient signal capture.
Develop, own, and execute comprehensive joint measurement plans for advertisers and agencies, integrating data foundations, incrementality experiments, Marketing Mix Modeling (MMM), full-funnel measurement, and attribution frameworks to demonstrate media value.
Act as a trusted technical advisor to decision-makers, challenge the status quo, build executive partnerships, and deliver data stories.
Lead the business cycle for prioritized data and measurement opportunities across Google Ads and Google Marketing Platform products.
Apply data science, causal inference, and statistical modeling techniques to design incrementality experiments, optimize Marketing Mix Modeling (MMM) data inputs, and help clients navigate changing industry privacy standards.
Advise Google's largest and most sophisticated advertisers, leading measurement and experimentation strategy and using insights to solve business issues and identify growth opportunities.
Partner with clients to guide their measurement maturity and support their business goals.
Build relationships with executive leaders across marketing, analytics, and strategy, and partner with Google's sales and product teams.
Translate datasets into compelling narratives to influence business decisions and motivate organizational change.
Help clients modernize measurement infrastructure by integrating first-party data and adopting privacy-safe practices.

Understand and pitch privacy-durable data foundations for clients by driving the implementation of Google’s tagging infrastructure (gTag, GTM, server-side GTM) and advanced first-party data solutions (Data Manager API, Google Cloud integrations) to ensure resilient signal capture.
Develop, own, and execute comprehensive joint measurement plans for advertisers and agencies, integrating data foundations, incrementality experiments, Marketing Mix Modeling (MMM), full-funnel measurement, and attribution frameworks to prove media value.
Act as a trusted technical advisor to decision-makers, test the status quo, build executive partnerships, and deliver data stories.
Lead the business-cycle for prioritized data and measurement opportunities across Google Ads and Google Marketing Platform products.
Apply data science, causal inference, and statistical modeling techniques to design incrementality experiments, optimize Marketing Mix Modeling (MMM) data inputs, and help clients navigate changing industry privacy standards.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.

Preferred qualifications:

Expertise in first-party data strategies, customer data infrastructures (CDP/CRM), and Google’s measurement ecosystem—including Google Analytics, Google Ads, tagging systems (gTag, GTM, server-side GTM), and APIs (e.g., Data Manager API, Google Cloud integrations).
Knowledge of online (Search, Display, Video/CTV) and offline (TV, OOH) advertising channels, brand analysis techniques, and the application of modern AI-powered marketing tools.
Understanding of brand and performance measurement frameworks, with proven experience executing marketing experiments, incrementality testing, causal impact, (MMM/Meridian), and Multi-Touch Attribution (MTA).
Ability to analyse datasets, apply statistical and financial modeling, and translate quantitative outputs into commercial insights.

As a Data, Measurement and Analytics (DM&A) Specialist, you will act as an advisor to Google’s largest and most sophisticated advertisers. You will lead the measurement and experimentation strategy, using insights to solve business issues and unlock new avenues for growth during a pivotal moment of industry transformation. Working at the intersection of media, technology, and data science, you will partner with our clients to guide their measurement maturity and support their business goals.

You will be a collaborative problem-solver who navigates ambiguity and possesses business acumen. You will build trusted relationships with key decision-makers, including executive leaders across marketing, analytics, and strategy, and seamlessly partner with Google's sales and product teams. By translating datasets into compelling narratives, you will influence critical business decisions and motivate organizational change. With a background in advanced marketing analytics, you will be an expert in demonstrating media value through incrementality, Marketing Mix Models (MMM), attribution, and AI-driven solutions. You will empower investigative clients to modernize their measurement infrastructure by integrating first-party data and adopting privacy-safe best practices, ultimately ensuring their media investments deliver, real-world success.

Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Canada: $138000 - $141000 (CAD) + 40% bonus target + equity + benefits

Learn more about benefits at Google.This posting is for an existing vacancy.

Google utilizes AI tools to assist in assessing candidates in our hiring processes.

Bachelor's degree or equivalent practical experience.
5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

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