Director of Data & Analytics

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Jackpot.com

51 - 200 employees

📱 Media

🛍️ eCommerce

🏢 Enterprise

Media • eCommerce • Enterprise

Jackpot. com is an innovative technology platform that specializes in transforming the way businesses manage and deliver visual content. With a strong focus on digital asset management (DAM), Jackpot. com provides a suite of tools for image and video personalization, transcoding, and optimized delivery across various platforms. The company utilizes advanced AI-powered automation to enhance workflow efficiency and drive better customer engagement for e-commerce and marketing professionals.

📋 Description

• Set the vision and strategy for Data Analytics and Data Science • Partner with Data Engineering to modernize our data infrastructure • Own the data platform, including pipelines, warehousing, modeling, governance, observability, and reliability • Be the AI thought leader, finding new and innovative ways to leverage AI to improve the business • Develop predictive and machine learning models that power personalization, fraud detection, forecasting, and user behavior prediction • Partner cross-functionally with Product, Engineering, Marketing, Finance, Operations, and Compliance to drive strategy and decision-making • Create dashboards and analytical tools to empower self-service and automate insights • Create a world-class experimentation program, including statistical rigor, tools, design, and rollout frameworks • Champion data-driven decision-making and raise the data IQ across the company

🎯 Requirements

• 10+ years of experience across Data Analytics, Data Science, and Data Engineering, with at least 3+ years leading multi-disciplinary data teams. • Proven experience owning and scaling a modern data stack (Snowflake/BigQuery, dbt, Airflow, Databricks, Fivetran, etc.). • Strong technical proficiency in SQL and Python. • Proficiency in leveraging AI across data verticals and an eagerness to continue to learn more. • Experience building and maintaining production-level data pipelines and ML models. • Experience with A/B testing frameworks, causal inference, and experimentation platforms. • Demonstrated ability to translate sophisticated data concepts into clear, actionable insights. • Excellent communication, prioritization, and stakeholder-management skills.

🏖️ Benefits

• $170,000-$200,000 base salary + bonus + equity • The opportunity to have a voice, say, and “leave your fingerprints” on our product and business • A commitment to provide you with the benefits of a start-up career without the start-up pains • Benefits on par with leading, progressive tech companies (think 100% employee-only coverage, monthly HSA contribution, mental health offerings, etc.) • 401(k) • Paid parental leave • PTO/Sick Time • Dedication to Lifelong Learning through our Monthly Speaker Series • A culture of trust and accountability

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