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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.
• 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.
• Knowledge of online, offline, and AI-powered marketing tools to evaluate cross-channel performance.
• 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.

About the job

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 .

Responsibilities

• Understand and pitch privacy-durable data foundations for clients by driving implementation of Google's tagging infrastructure and advanced first-party data solutions.
• Develop, own, and execute comprehensive joint measurement plans for advertisers and agencies, integrating data foundations, incrementality experiments, and attribution frameworks.
• Act as a trusted technical advisor to executive decision-makers, challenging the status quo and delivering compelling data stories to influence business decisions.
• Lead the business cycle for prioritized data and measurement opportunities across Google products, driving feature adoption and scaling AI innovation.
• Apply causal inference modeling to optimize MMM inputs while partnering with internal Sales, agencies, and Google Cloud teams to bridge technical gaps.