Data Excellence Manager

As a Data Excellence Manager at Stripe, your main responsibilities will include leading a team of sales operations experts to enhance customer data quality, developing and executing a Data Quality roadmap, and collaborating with various departments, including GTM leadership and Data Engineering. You'll also focus on implementing systems and tools to improve data governance, managing outsourcing strategies for data clean-up, and defining success metrics through dashboards.

To qualify for the Data Excellence Manager role at Stripe, candidates should possess a minimum of 11 years of experience in sales, strategy, or operations, particularly in high-tech growth environments. Moreover, a strong analytical mindset, the ability to engage across multiple stakeholders, and a willingness to dive into individual contributor work alongside leadership responsibilities are crucial. Preferred qualifications include familiarity with SQL, advanced analytics tools, and experience in the SaaS or payments industry.

In the role of Data Excellence Manager at Stripe, you will closely collaborate with diverse teams, including Sales Leadership, Finance, Product, and Data Engineering. Your ability to communicate effectively will help you align priorities, identify data challenges, and implement solutions across these departments, ensuring a cohesive strategy for data enhancement.

Stripe prides itself on fostering an inclusive and dynamic work culture. As a Data Excellence Manager, you can anticipate a collaborative environment that values innovation and user-focused problem-solving. You'll be encouraged to share ideas, contribute to strategic thinking, and roll up your sleeves in a fast-paced atmosphere where adaptability is key.

A Data Excellence Manager at Stripe should be well-versed in SQL and advanced analytics tools to analyze data effectively. Familiarity with business intelligence (BI) visualization tools like Tableau will also be beneficial for developing engaging dashboards to track and communicate metrics. Understanding how these tools integrate into broader sales operations will be crucial for driving data quality initiatives.

In answering this question, focus on providing specific examples from your past roles that demonstrate how you've successfully managed data quality or sales operations. Highlight your ability to develop strategic roadmaps and work collaboratively with cross-functional teams, showcasing your problem-solving skills and adaptability in dynamic environments.

Discuss how you prioritize hiring skilled individuals and fostering a collaborative team culture focused on data quality. Mention the importance of balancing leadership with the ability to perform individual contributor (IC) tasks and how you would empower team members to take initiative and innovate in their roles.

Provide examples of past strategies, such as developing a data governance framework or implementing automated data cleaning processes. Discuss any metrics you used to measure success and how you communicated those results to stakeholders.

Emphasize your communication skills and how you approach aligning various stakeholders towards a common goal. Provide an example of a situation where you balanced differing priorities successfully, demonstrating your negotiation skills and ability to maintain strong relationships.

Highlight your analytical skills and the importance of data-driven decision-making in your previous roles. Discuss how you use analytics to identify trends, craft strategies for improvement, and justify decisions to stakeholders, aligning with Stripe's focus on data excellence.

Share a specific project where you implemented data governance practices, detailing your objectives, challenges faced, and how you achieved success. Focus on the metrics used to measure the project's impact and any lessons learned that you can apply at Stripe.

Discuss your commitment to continuous learning, whether through online courses, industry webinars, networking with professionals, or reading relevant publications. Mention any specific resources you find valuable for staying informed on the latest trends and technologies in data management.

Talk about your background managing outsourced services, including how you select and oversee vendors, monitor quality, and ensure alignment with organizational goals. Share your understanding of the benefits and challenges that come with outsourcing data services.

Explain your approach to prioritizing initiatives based on business impact, resource availability, and stakeholder input. Provide an example of how you managed competing priorities effectively while ensuring progress towards overarching data goals.

Share your passion for data and how it drives business decisions and improvements. Discuss what excites you about the potential impact of data excellence at Stripe and how you envision contributing to the company's mission.