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Head of Marketing Science EMEA

Category Data Location London, United Kingdom Job ID 2025-69485
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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit is seeking a visionary and results-driven Head of Marketing Science to lead our team in leveraging data and advanced analytics to optimize marketing performance and drive significant business growth. This role is pivotal in shaping the future of QuickBooks marketing, ensuring data-driven decision-making across all channels and initiatives.

As the Head of Marketing Science, you will be responsible for building and leading a high-performing team of data scientists and analysts. You will develop and implement cutting-edge methodologies to measure marketing effectiveness, predict customer behavior, and optimize marketing spend. You will be a strategic partner to the marketing leadership team, providing actionable insights that fuel growth and innovation.

Responsibilities

  • Designing and implementing measurement framework and high impact learning agenda drive increased marketing effectiveness
  • Determine marketing program effectiveness, ROI, and assist with pipeline forecasting
  • Lead the media mixed modeling process- we are in the process of moving our MMM from agency to in-house, you will play the lead role in this process, with model selection, model build / training and responsibility for actioning the model outputs with the marketing team
  • Experimentation and testing - working with other marketing scientists and stakeholders to design and implement experiments to triangulate model impacts and improve accuracy of learnings
  • Develop and maintain ongoing reporting and programmatic reporting based upon organizational needs and goals
  • Work with the marketing leadership, finance, research, product, and data science teams to build marketing KPIs and goals
  • Assist the marketing leadership team with prioritizing, assigning, and understanding the impact of programs, campaigns, and marketing investments
  • Assist in budget development based upon program performance and organizational goals
  • Implement and manage marketing analytics tools and software as necessary
  • Develop and manage ongoing and programmatic marketing dashboards
  • Continuous communication of overall marketing performance to marketing leadership team and cross-functional stakeholders
  • Strong ability to analyze quantitative data and provide actionable recommendations
  • Stay abreast of industry trends, emerging technologies, and advancements in marketing analytics to ensure our strategies remain cutting-edge
  • Present findings and recommendations to senior leadership- effectively communicating complex data in a clear and concise manner
  • Lead and grow a high performing team

Qualifications

  • 10+ years of experience in marketing analytics, data analysis, marketing, or related field
  • Experience in leading large teams both directly and cross functionally (including managing managers)
  • Strong proficiency in marketing analytics tools and technologies, such as Google Analytics, Adobe Analytics, and marketing automation platforms
  • Experience leading a team of marketing analysts / marketing scientists
  • Advanced analytics techniques: expertise in regression models (e.g. ridge regression, Bayesian regression), time series analysis, forecasting + end to end MMM ownership experience
  • Strong SQL and Python
  • Excellent leadership and project management skills, with the ability to lead cross-functional teams and manage multiple projects simultaneously.
  • Strong communication and interpersonal skills, with the ability to translate complex data into actionable insights for non-technical stakeholders
  • Ability to evaluate, coordinate, and prioritize requirements in a fast-paced environment
  • Experience in the technology space is preferred
  • Experience in a global organization is preferred
  • Advanced degree in statistics, economics, behavioral or social science, or business experience in a media measurement field is preferred
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