ABOUT THE ROLE:
We’re looking for a Director of Data & Analytics, responsible for shaping the vision, strategy, and execution across Data Analytics and Data Science. Reporting to the Chief Strategy & Data Officer, you'll build and manage a data organization that powers product development, personalization, experimentation, and business intelligence. You’ll have an AI-first mentality in proactively seeking new and innovative ways to embed AI in our data organization.
If you’re looking for the opportunity to build a modern data organization from the ground up at a high-growth consumer startup — this may be the perfect role for you.
While this is a remote position, you must be located or willing to relocate to the NYC Metro area or San Francisco to qualify.
WHAT YOU'LL DO:
- 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
YOU IDEALLY HAVE:
- 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.
IT'S A BONUS IF YOU HAVE:
- Background in gaming, lottery, fintech, or other regulated industries
- Experience with real-time data architectures (Kafka, Kinesis)
- Experience with consumer personalization systems, recommendation models, or lifecycle optimization
- Familiarity with MarTech and CDPs (Optimove, Braze, etc)
- Expertise in LTV modeling, and fraud/risk models
- Experience in high-growth consumer or tech startups
ABOUT YOU:
- You work extremely well cross-functionally and are autonomous and proactive in your output
- You thrive under competing priorities and know how to structure your time and team
- You have grit, perseverance, and a founder mentality
- You are solutions-oriented, adaptable, and calm in ambiguity
- You embrace feedback and continuous learning - you’re not a finished product and don’t want to be
One of Jackpot’s core values is Lifelong Learning. We don’t believe we are ever finished products and strongly believe in growing and developing to improve ourselves. If what you’ve read so far sounds exciting but your experience doesn’t quite match what we’re looking for, we strongly encourage you to apply anyway! We are committed to building a diverse, inclusive team where everyone can feel proud to contribute to.
WHAT WE CAN OFFER:
- $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
