Senior Manager, Advanced Marketing Analytics
UK - All - Fully Flexible
Job Description
We are searching for an experienced and results-driven Head of Marketing Data Science to build and lead our marketing data science team. The ideal candidate will be an expert at using data to drive GTM strategies, understand customer behavior, and measure marketing and GTM performance. The successful candidate will be responsible for overseeing the development and implementation of advanced analytics, data mining, and statistical modeling techniques to solve complex marketing and GTM challenges and drive business growth.
Key Responsibilities
Leadership and Team Management:
Build, lead, and mentor a team of data scientists and analysts across several locations including outside of the US.
Data Strategy and Analytics:
Develop and manage in-house predictive models (lead scoring, account scoring, recommendation systems, etc.) and segmentation strategies.
Develop and manage lead, contact and account targeting and prioritization frameworks.
Leverage predictive modeling and machine learning to forecast trends and customer behavior.
Develop and implement a comprehensive data strategy that supports marketing and SDR decision-making and GTM optimization.
Oversee the design and execution of experiments and A/B tests to drive continuous improvement in marketing effectiveness.
Performance Measurement:
Design and maintain core dashboards and reports that track KPIs and ROI.
Analyze campaign performance and customer engagement metrics to identify opportunities for growth and optimization.
Analyze in-product user journeys and provide recommendations to product and marketing teams.
Provide actionable insights and strategic recommendations to marketing and executive leadership teams.
Technology and Innovation:
Stay abreast of the latest trends and advancements in marketing analytics and data science.
Evaluate and recommend new tools, technologies, and methodologies to improve the team's capabilities and efficiency.
Collaborate with IT and engineering teams to enhance data infrastructure and analytics platforms.
Collaboration and Influence:
Partner with marketing and GTM leaders to understand business challenges and develop data-driven solutions.
Communicate complex analytical results and insights in a clear and compelling manner to stakeholders at all levels.
Influence strategic decisions through a deep understanding of data and analytics.
Qualifications
Master's degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, or related field) or equivalent work experience.
7+ years of experience in data science or a related field, with a proven track record in marketing analytics.
Strong leadership skills and experience managing a team of data professionals.
Deep expertise in data mining, statistical analysis, machine learning, and predictive modeling.
Proficient with data science and analytics tools (e.g., Python, R, SQL, Tableau, Power BI).
Excellent communication and interpersonal skills, with the ability to translate complex data into actionable business insights.
Strategic thinking with a strong problem-solving ability.
Familiarity with CRM systems and marketing automation tools.
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. We advocate for digital first customer experiences—and we stick with it in our workplace. Over 5,000 employees worldwide are collaborating from kitchen tables, home offices, coworking spaces, and Zendesk workspaces to make one team.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Computer Science CX Data Mining Data strategy Economics Engineering KPIs Machine Learning Mathematics PhD Power BI Predictive modeling Python R SQL Statistical modeling Statistics Tableau Testing
Perks/benefits: Career development
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