Manager, Data Science - Marketing

As a Manager, Data Science - Marketing at Figma, your key responsibilities include managing and supporting a team of data scientists while actively engaging in analytical work. You'll collaborate with marketing leadership to set strategic goals, develop advanced measurement tools for top-of-funnel activities, and promote a data-driven culture within the organization by enhancing metrics reporting.

To shine in the Manager, Data Science - Marketing role at Figma, candidates should have a minimum of 5 years of experience working with marketing teams on ROI analysis, combined with at least 2 years of experience managing a high-performing marketing data science team. A solid understanding of statistical methods such as lead scoring and experimentation is crucial, alongside proficiency in making data-informed business decisions.

At Figma, we believe in the principle of 'Grow as you go.' This reflects in our commitment to professional development for roles like the Manager, Data Science - Marketing. Employees have access to a learning and development stipend, generous PTO, and a supportive environment that encourages continuous growth and learning within the team.

A typical day for the Manager, Data Science - Marketing at Figma includes a blend of analysis and leadership. You will spend part of your day diving deep into data analysis for marketing strategies, while also connecting with your team through mentoring and collaborative strategizing with marketing leaders to ensure the alignment of objectives and impactful outcomes.

Figma promotes a dynamic and supportive culture for its Managers of Data Science - Marketing, emphasizing inclusivity, creativity, and collaboration. We encourage an environment where diverse thoughts and experiences are valued, fostering trust and accountability across teams to drive impactful results.

In your response, focus on specific examples showcasing your leadership style, the size and composition of the team, the projects you've worked on, and the outcomes achieved through your management. Highlight any challenges faced and how you fostered collaboration and growth within the team.

Explain the process of aligning data insights with marketing objectives. Talk about the importance of communication with marketing leaders, setting clear goals, and how you cultivate a culture of data utilization to inform decision-making processes.

Discuss various statistical methods, such as lead scoring, attribution modeling, and A/B testing. Provide examples of how you've applied these techniques in real-world scenarios to measure the effectiveness of marketing campaigns and improve ROI.

Share specific strategies you've employed in previous roles to promote a data-driven mindset. This could include regular training sessions, easy access to relevant data, encouraging team members to share insights from their analyses, and celebrating data-informed successes.

Detail a specific project where you created a data product that helped solve a problem or optimize a marketing process. Focus on the challenges, your role in development, and how it positively influenced marketing efforts and overall business goals.

Explain your approach, emphasizing performance assessments, constructive feedback, and development plans to support underperforming team members. Highlight your commitment to fostering improvement while maintaining a positive work environment.

Discuss your strategy for prioritization, including stakeholder engagement, understanding business needs, setting clear timelines, and adapting as new challenges arise. This demonstrates both your leadership and project management skills.

Mention specific tools or programming languages like Python, R, SQL, or data visualization platforms you've used. Explain how these tools aid in data management, analysis, and the delivery of insights to marketing teams.

Share your strategies for ongoing learning, such as attending industry conferences, reading relevant research papers, participating in professional organizations, and following data science thought leaders on social media.

Discuss your vision of a successful Data Science Manager, emphasizing attributes such as communication skills, technical expertise, effective team leadership, adaptability to change, and the ability to influence marketing strategy through data-driven insights.