Director, Data

Ghost • Full-time • Los Angeles Metropolitan Area, US • 3w ago

About The Company

Ghost is a global data-driven distribution platform for the world's best brands. We partner with leading streetwear, apparel, footwear, beauty, and home goods brands to unlock alternative channels for inventory. Through transparency, data insights, and a network of vetted buyers, Ghost empowers sellers to diversify and optimize their inventory management. Backed by top VC firms (Cathay, USV, Equal, Eniac, L. Catterton), Ghost is one of LA’s fastest-growing startups.

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.

Key Responsibilities

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.

Qualifications

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.

Preferred Experience

Experience working in fast-paced startups or growth-stage companies.
Familiarity with advanced analytics tools and methodologies.

Personal Attributes

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.

Compensation Range for this role: $215,000 - $250,000, depending on experience.

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