Manager, Business Intelligence

What we’re looking for

As the Manager of our Business Intelligence Team, we are seeking someone with a passion for data at scale and driving data product management.

You will use the principles of data product management to lead the team in crafting products that yield lasting insights for SurveyMonkey.

What you’ll be working on

• Led a dynamic team collaborating across all lines of business (Product, Growth, Finance, Marketing, Customer and Sales) to get the requirements for Key Performance Indicators and metrics that data products need to provide
• Develop, own, and oversee the execution of the data product roadmap to deliver insights with long-term analytics goals
• Work closely with business leaders and other partners to understand business problems and translate them into the data product roadmap
• Identify and build requirements, acceptance criteria, and priorities for data platform user experiences
• Manage product artifacts such as catalog of the core data models (e.g., dimension and fact tables), logical models, and other important data assets to support governance
• Provide strategic guidance on specific data elements that need to be tracked to ensure tracking of metrics
• Communicate effectively with a diverse set of partners; mediate and cultivate partnership
• Align with Data Engineering & Business Data Science teams on new and existing data acquisition and pipeline requirements
• Champion the expansion of data in the company by producing high-quality insights from data products

We’d love to hear from people with

• Bachelor's degree or equivalent combination of education and experience
• Minimum of 5 years of data product management experience launching data products while leading a team of analysts
• At least 2 years of experience managing and developing Individual Contributors
• Proficiency in SQL
• Understanding of the technical architecture of cloud-based data pipelines, warehousing, and data management systems like Snowflake or Redshift
• Experience with Business Intelligence tools or other data visualization tools like Tableau, Power BI, etc
• Solid understanding of data models - logical and physical

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