Director of Data

SF or Seattle

The Data team at Coffee Meets Bagel is critical to delivering our vision of inspiring singles to share and connect authentically with each other. We help realize this by building cutting-edge match algorithm as well as bringing evidence-driven decision-making to our business. Our data team is small but have ambitious plans to grow, and we’re looking for Director of Data to lead this effort. You will set the vision for data science and data platform, hire and grow the team, own and deliver on the roadmap, and work closely with the senior management to bring data science into every function’s decision-making process. This role will report directly to the CEO or Head of Engineering.


    • Champion the use of evidence-driven decision-making within the organization.
    • Regularly evaluate and recommend data org structure and process to ensure we’re meeting the needs of the growing organization.
    • Own data science and platform vision, roadmap and oversee major initiatives around data modeling, engineering and analysis.
    • Own data modeling infrastructure and define model building and hand-over process with the Data team and other engineering stakeholders.
    • Provide thought leadership and analytic review for end-to-end model design and development for analytic modeling techniques.
    • Provide subject matter expertise in several of following analytic areas: product analytics, marketing analytics, predictive modeling, web/app analytics, A/B testing, customer lifetime value, customer profiling and segmentation, machine learning and artificial intelligence, NLP, dashboarding and data visualization.
    • Translate business problems into an analytical framework, develop and deliver on analytic design.
    • Work with multiple business stakeholders to understand critical business problems and areas of opportunity, influence to implement recommendations.
    • Continue to challenge status quo in terms of development processes and best engineering practices. Promote healthy debates around new tools and processes and champion changes that have a positive impact.
    • Hire, grow, and lead data team with focus on results and retention.