Director of Data
Director of Data
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Job Description
Position Title:Director of Data
Employee Status: Full Time
Location: Remote
Purpose:
Ideal candidates will be someone who sees data not just as a byproduct but as a strategic engine. Youll have the opportunity to organize package and monetize the deepest dataset in the NIL space - and help define the future of athlete marketing.
Responsibilities:
Lead and execute a company-wide data strategy
Audit our current systems assets and flows. Identify whats missing whats valuable and whats next. Develop a data architecture and strategy that supports scale revenue and AI-readiness.Design and deliver AI-powered features
Build and deploy ML models that power recommendation engines predictive analytics audience segmentation and more improving athlete-brand matching and campaign performance.Build scalable data pipelines
Own the development of real-time and batch pipelines to integrate data from athlete profiles social media campaign performance and third-party sources.Develop robust modern infrastructure
Ensure we have a future-ready data platform thats fast reliable secure and built for machine learning at scale.Manage the full data lifecycle
Ensure quality consistency availability and governance of data from ingestion to model output powering both internal decision-making and external features.Optimize models in production
Continuously test evaluate and improve performance based on real-world usage and business impact.Collaborate cross-functionally
Partner deeply with Product Engineering Marketing and the Executive team to shape what we build and why translating strategic questions into scalable solutions.Grow and lead a world-class data team
Help build lead and mentor a team that includes a data engineer data scientist and data manager and scale it as the business grows.
Work Requirements Experience Education and Skills:
5 years in data engineering data science or technical leadership roles
Proven experience building cloud-native infrastructure and scalable pipelines
Deep knowledge of machine learning frameworks and deployment in production
A product mindset and ability to connect data to real business outcomes
Exceptional communication across both technical and executive audiences
Data Stack: Snowflake SQL Server Python
Visualization: Tableau
Cloud AI & ML: Azure AI services TensorFlow scikit-learn
Required Experience:
Director
Employment Type
Full Time
