Build and scale the Data Analytics and Engineering function at the company to drive a new level of data-driven excellence
Requirements
- Hands-on experience with data modeling, data architecture, and ETL/ELT processes
- Proficiency in data science, with prior experience deploying ML data products (e.g., classifiers, time series models, recommender systems)
- Deep familiarity with modern data stacks (e.g., AWS/Azure/GCP/Snowflake)
- Proficiency with BI and data visualization tools for telling stories with data
Responsibilities
- Strategic Partnership: Collaborate with senior leaders to translate their strategic priorities into a clear, actionable roadmap for the Data Analytics and Engineering team
- Team Leadership & Development: Build, manage, and mentor a world-class team of analysts, data scientists, and data engineers, fostering a culture of extreme ownership and continuous learning
- Deliver Actionable & Predictive Insights: Go beyond simple reporting to solve ambiguous business problems
- Own the End-to-End Data Lifecycle: Take full ownership of the data pipelines for critical business domains
Other
- Strategic Mindset: You are a strategic thinker who can partner with senior leadership to tackle complex, open-ended business problems with a rigorous, data-driven approach
- Proven Leadership Experience: You have 12+ years of experience in data and analytics, with at least 8+ years in a leadership role, preferably in a fast-paced enterprise software environment
- Excellent Communication Skills: You excel at translating business needs into technical requirements and communicating complex technical concepts to non-technical stakeholders
- Player-Coach Mentality: You are a hands-on leader who can provide expert guidance to your team on everything from data architecture to advanced analytical methods
- Demonstrated expertise in at least two of the following domains (Go-To-Market, Finance, or Product)
