Director of Analytics Engineering
The Role:
Gametime is seeking a strategic and technically hands-on Director of Analytics Engineering to lead the vision, design, and implementation of a modern, AI-ready data infrastructure. You will be responsible for establishing a robust Analytics Data Layer (ADL), enabling real-time insights, and ensuring data governance and self-service accessibility across technical, non-technical, and agentic user personas.
This role sits at the intersection of data engineering, analytics, platform strategy, and AI enablement, and will play a pivotal role in positioning Gametime to extract scalable business value from data at speed.
Key Responsibilities
Data Architecture & Strategy
Collaborate with the Data Platform Team to implement an end-to-end design of a real-time, AI-ready architecture with modularity, scalability, and speed in mind.
Define and operationalize a best-in-class Analytics Data Layer (ADL) that integrates across marketing, product, finance, and customer experience datasets.
Implement a high fidelity architecture using tools like dbt, Sigma, and Snowflake to ensure high-frequency and low-latency data availability.
Data Governance & Modeling
Own and drive the governance framework across all modeled data assets, ensuring consistency, accuracy, and security across the stack.
Codify standards for testing, documentation, and access using dbt and CI/CD pipelines to build a trusted foundation.
Enablement & Tooling
Architect systems that support self-service analytics across diverse personas — including analysts, operators, product managers, and AI agents.
Partner with analytics, product, and ML teams to provide structured and reusable data products.
Leverage visualization tools (e.g., Sigma, Looker, Tableau) to expose curated metrics and diagnostics via intuitive dashboards.
Leadership & Collaboration
Lead and grow a team of analytics engineers and data modelers; act as a multiplier across the org by documenting, mentoring, and sharing best practices.
Collaborate closely with cross-functional leaders in ML Engineering, Backend, Analytics, and Finance to align data strategy with business goals.
What You Bring
Required
8+ years in analytics/data engineering roles, with at least 3+ in a technical leadership capacity.
Deep expertise in dbt, SQL, cloud data warehouses (Snowflake preferred), and modern data stack practices.
Familiarity with data visualization platforms (e.g., Sigma, Tableau, Power BI).
A strong belief in data enablement and decentralization — paired with a disciplined approach to governance and standardization.
Nice to Have
Experience architecting real-time or near-real-time data systems.
Experience with stream processing frameworks (e.g., Kafka, Flink, Spark Streaming).
Prior success in scaling self-service analytics or embedded data tooling.
Exposure to ML or AI workflows and how data pipelines serve model training and inference.
Why Join Us
At Gametime, we believe data is one of our most powerful levers for innovation. From optimizing real-time ticketing decisions to unlocking insights for new product lines, this role offers a rare opportunity to build a foundational data platform that directly powers product and AI innovation at scale.
What We Can Offer:
Flexible PTO
Competitive salary & equity package
Monthly Gametime credits for any event ($1,200/yr)
Medical, dental, & vision insurance
Life insurance and disability benefits
Diverse Family-forming benefits through Carrot Fertility
401k, HSA, pre-tax savings programs
Company off-sites and meet-ups
Wellness programs
Tenure recognition
At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.
United States - Pay Range
$250,000—$300,000 USD
About the job
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Director of Analytics Engineering
The Role:
Gametime is seeking a strategic and technically hands-on Director of Analytics Engineering to lead the vision, design, and implementation of a modern, AI-ready data infrastructure. You will be responsible for establishing a robust Analytics Data Layer (ADL), enabling real-time insights, and ensuring data governance and self-service accessibility across technical, non-technical, and agentic user personas.
This role sits at the intersection of data engineering, analytics, platform strategy, and AI enablement, and will play a pivotal role in positioning Gametime to extract scalable business value from data at speed.
Key Responsibilities
Data Architecture & Strategy
Collaborate with the Data Platform Team to implement an end-to-end design of a real-time, AI-ready architecture with modularity, scalability, and speed in mind.
Define and operationalize a best-in-class Analytics Data Layer (ADL) that integrates across marketing, product, finance, and customer experience datasets.
Implement a high fidelity architecture using tools like dbt, Sigma, and Snowflake to ensure high-frequency and low-latency data availability.
Data Governance & Modeling
Own and drive the governance framework across all modeled data assets, ensuring consistency, accuracy, and security across the stack.
Codify standards for testing, documentation, and access using dbt and CI/CD pipelines to build a trusted foundation.
Enablement & Tooling
Architect systems that support self-service analytics across diverse personas — including analysts, operators, product managers, and AI agents.
Partner with analytics, product, and ML teams to provide structured and reusable data products.
Leverage visualization tools (e.g., Sigma, Looker, Tableau) to expose curated metrics and diagnostics via intuitive dashboards.
Leadership & Collaboration
Lead and grow a team of analytics engineers and data modelers; act as a multiplier across the org by documenting, mentoring, and sharing best practices.
Collaborate closely with cross-functional leaders in ML Engineering, Backend, Analytics, and Finance to align data strategy with business goals.
What You Bring
Required
8+ years in analytics/data engineering roles, with at least 3+ in a technical leadership capacity.
Deep expertise in dbt, SQL, cloud data warehouses (Snowflake preferred), and modern data stack practices.
Familiarity with data visualization platforms (e.g., Sigma, Tableau, Power BI).
A strong belief in data enablement and decentralization — paired with a disciplined approach to governance and standardization.
Nice to Have
Experience architecting real-time or near-real-time data systems.
Experience with stream processing frameworks (e.g., Kafka, Flink, Spark Streaming).
Prior success in scaling self-service analytics or embedded data tooling.
Exposure to ML or AI workflows and how data pipelines serve model training and inference.
Why Join Us
At Gametime, we believe data is one of our most powerful levers for innovation. From optimizing real-time ticketing decisions to unlocking insights for new product lines, this role offers a rare opportunity to build a foundational data platform that directly powers product and AI innovation at scale.
What We Can Offer:
Flexible PTO
Competitive salary & equity package
Monthly Gametime credits for any event ($1,200/yr)
Medical, dental, & vision insurance
Life insurance and disability benefits
Diverse Family-forming benefits through Carrot Fertility
401k, HSA, pre-tax savings programs
Company off-sites and meet-ups
Wellness programs
Tenure recognition
At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.
United States - Pay Range
$250,000—$300,000 USD