• Directly execute complex end-to-end data science projects, including statistical modeling, machine learning, and predictive analysis. • Partner with Engineering/IT to define requirements for and, where necessary, personally build and maintain robust data pipelines, data marts, and analytics tools to support the team's work. • Establish and enforce technical best practices, code review standards, and documentation guidelines to ensure the reliability and reproducibility of all data products. • Lead and mentor our existing Data Analyst, providing regular coaching, setting performance goals, and facilitating career development. • Play a primary role in recruiting, interviewing, and onboarding new talent as the data team scales. • Promote a culture of data literacy and continuous learning within the Data Team and across the organization. • Define and articulate a compelling data strategy and roadmap for the department over the next 1-3 years, aligning data initiatives directly with company OKRs and business needs. • Act as the technical Product Owner for the Data Team's backlog. Manage the end-to-end lifecycle of all data projects, ensuring timely delivery, managing scope, and communicating progress to stakeholders. • Collaborate with executive leadership and cross-functional teams (Product, Marketing, Operations) to identify high-impact analytical opportunities and translate ambiguous business questions into testable data hypotheses and clear deliverables. • Establish foundational principles for data governance, integrity, privacy, and security within the department.