Mixbook

Vice President, Data

Mixbook

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Lead

Tech Stack

AirflowAmazon RedshiftCloudETL

About the role

  • About Mixbook: Mixbook is the #1 rated photo book service in the US with over 30K 5-star reviews, empowering over 6 million people to design and share their stories.
  • We\'re a profitable, growing company known for our intuitive design platform, exceptional quality, and fanatical customer service.
  • Our culture values collaboration, open communication, and a growth mindset. We believe in empowering our team members to take ownership, embrace challenges, and make a meaningful impact.
  • This is a greenfield opportunity to define how data shows up at Mixbook - from modern infrastructure and analytics to predictive modeling and compliance.
  • About You: You are a hands-on, visionary data leader who thrives in building from the ground up. With deep expertise in Data Science and Analytics, fluency in data engineering, and a track record of turning data into measurable business wins, you see data as a service to the organization. You’re equal parts architect and operator—scrappy in the early stages, scaling teams and capabilities over time—while automating workflows, enabling self-serve analytics, and fostering trust across every corner of the business. You lead with zero politics, mentor future leaders, and embrace emerging AI tools to keep the organization ahead of the curve.

Requirements

  • 12+ years of progressive experience in data, analytics, and data science roles, including 5+ years leading data organizations at the VP level.
  • Prior experience in consumer tech, DTC, or eCommerce preferred. Experience operating in global, remote, or fast-scaling environments is a plus.
  • Track record of influencing product, engineering, marketing, and executive teams through data-backed decision-making.
  • Experience automating data workflows and enabling self-service analytics across the organization.
  • Experience standing up company-wide data governance and privacy frameworks, especially those touching customer data and regulatory requirements.
  • Passion for making data a strategic business asset, not just a back-office function.
  • Already be experimenting with modern AI tools and be eager to expand their application within the organization.
  • Capable of delivering personally in the early stages, then delegating effectively as the team grows.