Senior Product Manager, Data Platform

Senior Product Manager, Data Platform

Los Angeles, California, United States

Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before.

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 $165,000 – $200,000. This role will also be eligible to take part in Genius Sports Group's benefits plan.