VP Engineering, Sports Data

 

 

A bit about us:  

Do you want to join one of the world’s fastest growing sports technology companies? Genius Sports is at the epicentre of the global network connecting sports, brands and fans through official live data. Our mission is simple. We champion a more sustainable sports data ecosystem that benefits all parties.  

We’re looking for enthusiastic and ambitious people to join our talented team.   

If you see yourself becoming part of a global family building the future of sports entertainment together, then come and grow with us. We put trust in our people to deliver the difference for our clients around the world. It’s why many of the world’s largest leagues & federations such as the NFL, English Premier League, FIBA and NCAA choose to work with Genius Sports.  

 

The Role: VP Engineering, Sports Data 

The Genius Sports Engineering Team is looking for a smart, talented, and experienced VP of Engineering to lead our Modern Data Platform initiatives. The VP of Engineering will manage a team of engineering managers and will oversee our work with architects, developers, testers, and operations to build, enhance, and maintain our big data pipelines in support of our betting, broadcast, and fan engagement offerings.

The ideal candidate will have experience working on big data and have deep familiarity with high volume web services/APIs, and expertise in real- time streaming of high-volume transactions across various domains/environments across the internet. They will have experience in database design/architecture particularly working in highly distributed/cloud-based environments and have the capacity to partner with our operations team on the ongoing maintenance of our data infrastructure.

Additionally, the candidate will be well versed in modern methods for low-latency, real-time, data ingress, data transformation/normalization, and data egress with an ability to build self-service tools that can be used by non-developers in areas such as applying business logic, making data corrections/updates, etc.

In addition to working with telemetry and transactional data, the candidate should have experience working with user data (both anonymized and authenticated) and be comfortable with privacy by design methods associated with managing personally identifiable information.

 

Job Responsibilities:

Specific responsibilities for the VP Engineering, Sports Data and his/her team include the following:

 

Build, Maintain, and Evolve our Data Collection Tools

• Partner with our Sports Tech /Data Collection teams to understand and support requirements for building human and computer-vision driven tools for collecting real-time sporting event data (passes, rushes, touchdowns, turnovers, etc.) at the team and individual player level
• Rationalize our various data collection tools to minimize the number of those being utilized/supported including sunsetting legacy tools, migrating customers off of those tools, evolving current tools, and building new tools where necessary 

Maintain & Modernize our Data Pipeline(s)

• Identify and analyze data sources (fixtures data, odds data, player and match data, product usage data, customer data, etc.) for onboarding and work with data source owners to understand data attributes available, value of onboarding this data; and methods for doing so;
• Design, build, and maintain a robust, real-time big data pipeline to collect, aggregate, transform, and make available terabytes of rich betting, sports event, customer and product data/intelligence
• Design and implement processes for cleaning and transforming various data/data sources to ensure consistency, usability, and compliance
• Build robust end-to-end monitoring, alerting, and reporting capabilities to assist in maintaining highly functional, low latency, performant data processing
• Ensure all aspects of ETL design and data storage/retention align with defined best practices and Genius Sports internal security/privacy standards

 Data Warehousing & Reporting Tools

• Work with a variety of stakeholders (marketing, business/customer intelligence, product planning, etc.) to understand their business needs and make data available for analysis and consumption
• Design our warehousing architecture for key data sources such as fixtures data, odds data, player and match data, product usage data, customer data, etc
• Partner with our BI teams to build self-serve reporting tools (dashboards, cubes, etc.) to enable a broad set of stakeholders to access and mine our customer & product intelligence for insights on who our customers are and how they use our products & services
• Evaluate, select,