Senior Product Manager Data Platform

By bringing together next-gen technology and the finest live data available Genius Sports is enabling a new era of sports for fans worldwide delivering experiences that are more immersive interactive and personalized than ever before. Learn more at geniussports.com. 

The Role -  Senior Product Manager
We are seeking a Senior Product Manager to join our Data & AI team and lead product strategy for the platform capabilities that power the ingress transformation storage and egress of highly granular live sports data. 

The ideal candidate combines strong product instincts with deep platform thinking and technical fluency in real-time data systems. You should be equally comfortable defining long-term strategy rationalizing legacy tooling partnering with engineers on highly scalable data platforms and enabling downstream analytics AI and API products. 

Responsibilities:  

This role sits at the center of our sports data ecosystem. You will work across Sports Tech Data Collection Engineering BI Data Science Betting Fan Engagement Advertising and commercial stakeholders to build the shared tools and platforms that capture process analyze and distribute real-time team- and player-level sports data at scale.   You will play a key role in one or more of the following areas:   

Maintain and Modernize Data Pipelines 

• Identify assess and prioritize new data sources for onboarding including fixtures data odds data player and match data product usage data customer data and other relevant internal and external datasets.
• Partner with data owners and engineering teams to understand available attributes business value integration methods and operational considerations for each source.
• Work with engineering to define build and evolve a robust real-time data platform capable of ingesting aggregating transforming and exposing terabytes of sports betting customer and product intelligence data.
• Partner with engineering to design and implement scalable data cleaning normalization and transformation processes that improve data consistency usability and compliance.
• Drive requirements for end-to-end monitoring alerting observability and reporting to ensure highly available low-latency and performant data processing across the platform.
• Ensure ETL design schema management storage and retention practices align with internal best practices as well as security and privacy standards. 

Enable Data Warehousing Reporting and Advanced Analytics 

• Work closely with stakeholders across marketing business intelligence customer intelligence product planning and other functions to understand business needs and make data accessible for analysis and decision-making.
• Partner with BI and analytics teams to deliver self-serve reporting capabilities including dashboards semantic layers cubes and other tools that broaden access to customer and product intelligence.
• Support the evaluation and integration of advanced analytical tools and data workflows that enable data scientists and analysts to model customer behavior generate predictive insights and inform betting and personalized fan engagement use cases.
• Help define the data foundations needed to support AI and machine learning use cases across the business. 

Build Maintain and Evolve Data Distribution Tools 

• Partner with stakeholders across sports betting fan engagement advertising leagues and teams to understand their data consumption needs and deliver scalable distribution capabilities.
• Own the API and data distribution product strategy and roadmap ensuring alignment with key internal and external stakeholders.
• Define and prioritize user stories and backlog items related to data sharing API access entitlements delivery mechanisms and partner integrations.
• Support the development of push- and pull-based distribution patterns that make data available reliably and efficiently across a range of products and customers.
• Partner with Advertising and Genius Marketing Suite stakeholders to enable audience management segmentation and targeting capabilities that power personalized advertising and fan experiences at scale. 

Lead Product Strategy and Cross-Functional Execution 

• Create clear product strategies roadmaps requirements and success metrics for core data platform capabilities.
• Balance immediate business needs with long-term platform investments technical debt reduction and architectural evolution.
• Act as the connective tissue between business stakeholders operational teams and technical teams to ensure shared understanding and effective execution.
• Use data customer feedback and operational insights to prioritize investments and continuously improve platform reliability usability and value. 
  

Qualifications:  

• Significant product management experience with meaningful experience owning data platform infrastructure API or enterprise platform products. 
• Strong understanding of real-time data systems data pipelines ETL/ELT data warehousing APIs and large-scale distributed platforms.  
• Experience working closely with engineering teams to deliver complex technical products and platform capabilities.  
• Demonstrated ability to define product strategy and execute in cross-functional environments with multiple stakeholders and competing priorities.  
• Strong analytical and problem-solving skills with the ability to evaluate data sources define business value and make sound prioritization decisions.  
• Excellent written and verbal communication skills including the ability to translate between technical and non-technical audiences.  
• Experience building or supporting products related to analytics BI machine learning or AI-enabled use cases.  
• Comfort operating in fast-paced environments where reliability scalability latency and data quality are business-critical. 
• Familiarity with live event data collection workflows including operator-assisted and computer-vision-driven systems.  
• Experience with modern data platform technologies streaming architectures observability tooling and cloud-based data ecosystems.  
• Exposure to identity segmentation personalization or customer intelligence platforms.  
• Experience managing legacy platform modernization and migration programs. 

The salary for this role is based on an annualized range of $165000 – $200000. This role will also be eligible to take part in Genius Sports Group's benefits plan. 

As well as a competitive salary and range of benefits we’re committed to supporting employee wellbeing and helping you grow your skills experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports  
 
One team being brave driving change  
 
We strive to create an inclusive working environment where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.  
 
Let us know when you apply if you need any assistance during the recruiting process due to a disability. 

What We Do

Genius Sports is the layer between what happens on the field and how the world engages with it. Our solutions across the global sports ecosystem are underpinned by our next generation big data and artificial intelligence platform GeniusIQ. By ingesting and computing multiple real-time data feeds GeniusIQ powers a wide range of functions and applications across sports performance and officiation fan engagement advertising and sports betting. Founded in 2001 Genius Sports is now one of the world’s largest sports technology companies working with the likes of the NFL NBA EPL FIBA ESPN Sky Sports Flutter DraftKings and 100s more. We're headquartered in New York and London with offices in Los Angeles Medellin Tallinn Sofia Singapore Lausanne Manchester and Melbourne.

Why Work With Us

We are one team being brave driving change. Our company values help create a cohesive culture where we think feel and act like One Genius. We strive to create an environment where everyone feels a sense of belonging and the ability to make a difference driving our vision to be everywhere in sports redefining experiences through technology.

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