Data Science Manager

The Problems You’ll Solve

At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow. As a Data Science Manager, you’ll work to: 

• Define the Data Science team’s strategy and roadmap for our Corporations business unit
• Become an expert on Carta’s business domain and available data
• Partner with business and product teams to use data to accelerate decision making and drive business outcomes
• Ensure our internal customers have access to consistent metrics and understand their definitions
• Act as a hands-on technical contributor in data analysis & modeling 
• Manage and coach  a team of 3-5 individual contributors with varying levels of experience 
• Lead initiatives across the data science team focused on driving  technical excellence, process improvements, and a collaborative culture

The Team You’ll Work With

On the Data Science team, our mission is to enable data-driven decisions and products across Carta by collecting accurate data, building scalable infrastructure and delivering advanced analytics. We believe in building a strong data foundation to ensure data quality and to promote self-service across the company. In addition, the data team works on developing proprietary data products using Carta’s rich and unique dataset. We like to partner with each other and with Cartans across the company to get our work done. We constantly think about how we can improve and grow.

About You

• Demonstrated experience managing a data team for at least 3 years, coaching reports to achieve their goals and contribute value to the business. 
• Skilled in building strong stakeholder relationships, ensuring alignment between data initiatives and strategic business goals.
• Expertise in turning ambiguous problems into structured analytical or data science projects and presenting insights to diverse audiences. 
• Ability to navigate and lead through change, fostering a culture of bi-directional feedback and adapting to rapid shifts in priorities.
• Fluency in Python and SQL, coupled with a deep understanding of analytical methodologies, statistics, and experience in developing product metrics.
• Experience with dbt and Looker are nice-to-haves.