<div class="content-intro"><div><strong>About Us:</strong></div><div>Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.</div><div> </div><div>With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.</div></div><h3><strong>The Role:</strong></h3><p>Gametime is seeking a strategic and technically hands-on <strong>Director of Analytics Engineering</strong> to lead the vision, design, and implementation of a <strong>modern, AI-ready data infrastructure</strong>. You will be responsible for establishing a <strong>robust Analytics Data Layer (ADL)</strong>, enabling <strong>real-time insights</strong>, and ensuring <strong>data governance and self-service accessibility</strong> across technical, non-technical, and agentic user personas.</p><p>This role sits at the intersection of <strong>data engineering, analytics, platform strategy, and AI enablement</strong>, and will play a pivotal role in positioning Gametime to extract scalable business value from data at speed.</p><h3><strong>Key Responsibilities</strong></h3><h4><strong>Data Architecture & Strategy</strong></h4><ul><li>Collaborate with the Data Platform Team to implement an <strong>end-to-end design of a real-time, AI-ready architecture</strong> with modularity, scalability, and speed in mind.<br><br></li><li>Define and operationalize a <strong>best-in-class Analytics Data Layer (ADL)</strong> that integrates across marketing, product, finance, and customer experience datasets.<br><br></li><li>Implement a <strong>high fidelity architecture</strong> using tools like dbt, Sigma, and Snowflake to ensure high-frequency and low-latency data availability.</li></ul><h4><strong>Data Governance & Modeling</strong></h4><ul><li>Own and drive the <strong>governance framework</strong> across all modeled data assets, ensuring consistency, accuracy, and security across the stack.<br><br></li><li>Codify <strong>standards for testing, documentation, and access</strong> using dbt and CI/CD pipelines to build a trusted foundation.</li></ul><h4><strong>Enablement & Tooling</strong></h4><ul><li>Architect systems that support <strong>self-service analytics</strong> across diverse personas — including analysts, operators, product managers, and AI agents.<br><br></li><li>Partner with analytics, product, and ML teams to provide <strong>structured and reusable data products</strong>.<br><br></li><li>Leverage <strong>visualization tools</strong> (e.g., Sigma, Looker, Tableau) to expose curated metrics and diagnostics via intuitive dashboards.</li></ul><h4><strong>Leadership & Collaboration</strong></h4><ul><li>Lead and grow a team of analytics engineers and data modelers; act as a <strong>multiplier across the org</strong> by documenting, mentoring, and sharing best practices.<br><br></li><li>Collaborate closely with cross-functional leaders in ML Engineering, Backend, Analytics, and Finance to align data strategy with business goals.<br><br></li></ul><h3><strong>What You Bring</strong></h3><h4><strong>Required</strong></h4><ul><li>8+ years in analytics/data engineering roles, with at least 3+ in a technical leadership capacity.<br><br></li><li>Deep expertise in <strong>dbt</strong>, <strong>SQL</strong>, <strong>cloud data warehouses</strong> (Snowflake preferred), and <strong>modern data stack practices</strong>.<br><br></li><li>Familiarity with <strong>data visualization platforms</strong> (e.g., Sigma, Tableau, Power BI).<br><br></li><li>A strong belief in <strong>data enablement and decentralization</strong> — paired with a disciplined approach to governance and standardization.<br><br></li></ul><p> </p><h4><strong>Nice to Have</strong></h4><ul><li>Experience architecting <strong>real-time or near-real-time data systems</strong>.</li><li>Experience with stream processing frameworks (e.g., Kafka, Flink, Spark Streaming).</li><li>Prior success in scaling self-service analytics or embedded data tooling.</li><li>Exposure to ML or AI workflows and how data pipelines serve model training and inference.<br><br></li></ul><h3><strong>Why Join Us</strong></h3><p>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 <strong>build a foundational data platform that directly powers product and AI innovation</strong> at scale.</p><h3 class="p1"><span class="s1"><strong>What We Can Offer:</strong></span></h3><ul class="ul1"><li class="li2"><span class="s1">Flexible PTO</span></li><li class="li2"><span class="s1">Competitive salary & equity package</span></li><li class="li2"><span class="s1">Monthly Gametime credits for any event ($1,200/yr)</span></li><li class="li2"><span class="s1">Medical, dental, & vision insurance</span></li><li class="li2"><span class="s1">Life insurance and disability benefits</span></li><li class="li2"><span class="s1">Diverse Family-forming benefits through Carrot Fertility</span></li><li class="li2"><span class="s1">401k, HSA, pre-tax savings programs</span></li><li class="li2"><span class="s1">Company off-sites and meet-ups</span></li><li class="li2"><span class="s1">Wellness programs</span></li><li class="li2"><span class="s1">Tenure recognition</span></li></ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>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.</p></div><div class="title">United States - Pay Range</div><div class="pay-range"><span>$250,000</span><span class="divider">—</span><span>$300,000 USD</span></div></div></div><div class="content-conclusion"><p><strong>Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.</strong></p></div>