About the Role
The Head of Data will lead all data-related functions, including analytics, science, and engineering, while shaping strategy, building teams, and ensuring data is leveraged effectively across the business to drive growth and efficiency.
Responsibilities
- Lead the development and execution of the company's data strategy.
- Manage teams focused on data science, analytics, and data engineering.
- Collaborate with executives to align data initiatives with business goals.
- Establish best practices for data governance, quality, and security.
- Drive insights from data to inform product, marketing, and operational decisions.
- Oversee the architecture and scalability of data platforms and pipelines.
- Ensure reliable access to data for cross-functional teams.
- Guide the adoption of machine learning models in production environments.
- Foster a data-driven culture across departments.
- Recruit, mentor, and retain high-performing data professionals.
- Define key performance indicators and reporting frameworks.
- Evaluate and implement new data tools and technologies.
- Support compliance with privacy regulations and data protection standards.
- Translate complex data findings into actionable business recommendations.
- Coordinate with engineering and product teams on data-centric features.
- Optimize data workflows for efficiency and accuracy.
- Lead post-mortems and root cause analyses for data-related incidents.
- Ensure documentation and knowledge sharing across data teams.
- Promote standardization of metrics and definitions company-wide.
- Manage budget and resource planning for the data function.
- Evaluate third-party data vendors and integration opportunities.
- Champion data accessibility while maintaining appropriate controls.
- Align data roadmap with long-term product vision.
- Support experimentation frameworks and A/B testing infrastructure.
- Monitor team performance and drive continuous improvement
Nice to Have
- Experience in media, entertainment, or digital content platforms.
- Background in direct-to-consumer technology companies.
- Hands-on coding experience in Python or Scala.
- Prior work with real-time data processing systems.
- Exposure to personalization or recommendation engines.
Compensation
Competitive salary and equity offered.
Work Arrangement
Hybrid work model with flexibility based on team needs and location.
Team
Part of the leadership team overseeing analytics, data science, and engineering functions.
About the Role
- This position will shape how data is collected, analyzed, and used across the organization. The ideal candidate will combine technical depth with leadership skills to grow a team that enables faster, better decisions.
- You will report to the Chief Technology Officer and work closely with product, engineering, and business leaders.
What We Value
- We prioritize clear communication, ownership, and curiosity. The team values practical solutions over theoretical perfection and focuses on delivering measurable impact.
- Collaboration and inclusivity are central to how we operate.
Sponsorship available for qualified candidates requiring work authorization.
