Director of Data, Ghost

• Highly analytical with strong problem-solving skills
• Proactive, self-motivated leader comfortable working with ambiguity
• Excellent communicator who can translate complex data concepts into clear business language
• 8+ years of experience in data science, analytics, data engineering, or related fields
• Demonstrated expertise in developing and scaling data infrastructures, analytics frameworks, and machine learning systems
• Proficiency with modern data stacks, cloud platforms (AWS), and associated technologies (e.g., Snowflake, dbt, Stitch, Airflow)
• Strong experience with SQL, Python, data modeling, ETL processes, and big data technologies
• Deep understanding of machine learning techniques and experience deploying predictive models into production
• Proven track record of hiring, mentoring, and leading high-performing technical teams
• Exceptional strategic thinking, project management skills, and ability to influence cross-functional stakeholders

Desirable

• We're seeking an experienced Director of Data who is passionate about building and scaling data capabilities in a fast-growing startup environment
• You'll lead our data analytics, data engineering, and machine learning initiatives, driving data-informed decision-making and innovation across the company
• Develop and execute the strategic vision for the data function, aligning it with overall company objectives
• Oversee the design, deployment, and management of scalable data architectures, analytics platforms, and data pipelines
• Lead the implementation and scaling of machine learning models to solve critical business challenges and unlock growth opportunities
• Build and manage a high-performing team across analytics, data engineering, and machine learning
• Establish best practices for data governance, quality, security, and compliance
• Collaborate closely with product, engineering, and business teams to identify opportunities where data can enhance decision-making and optimize business processes
• Foster a culture of experimentation and data-driven innovation throughout the organization