Director of Data Analytics (Remote)

The Opportunity

At Opendorse, we sit on more athlete and NIL data than anyone in the industry - and we’re just getting started. 

As the leading platform for athlete-brand partnerships, we’ve helped more than 140,000 athletes and thousands of brands connect and thrive in the NIL era. But we know the next frontier isn’t just partnerships - it’s intelligence. 

Our data is rich, real-time, and largely untapped. Now, we’re ready to turn that data into our biggest advantage. 

We’re hiring a Director of Data Analytics to lead that charge. 

You'll be in the data trenches - architecting, coding, analyzing, and experimenting - not just directing from above. This is a sleeves-rolled-up leadership role for someone who loves to build.

This is a dream role for someone who sees data not just as a byproduct, but as a strategic engine. You’ll have the opportunity to organize, package, and monetize the deepest dataset in the NIL space - and help define the future of athlete marketing. 

You won’t be handed a blueprint. You’ll write it. 

WHAT YOU'LL DO

• Lead and execute a company-wide data strategy 
  Audit our current systems, assets, and flows. Identify what’s missing, what’s valuable, and what’s 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 that’s 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. 

You'll Thrive If You

• You’ve built or scaled a modern data platform — and learned what works (and what doesn’t). 

• You’ve led teams and shipped production-grade AI/ML solutions. 

• You can switch between building and architecting without missing a beat.

• You’re energized by ambiguity and thrive in high-growth, fast-paced environments. 

• You’ve worked directly with product teams to embed intelligence into user-facing features. 

You Have Experience With (or similar tools) 

• Data Stack: Snowflake, SQL Server, Python 

• Visualization: Tableau 

• Cloud, AI, & ML: Azure AI services, TensorFlow, scikit-learn 

What You Bring

• 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