Job Description
<h3>📋 Description</h3> • Build and lead the analytics engineering team: Hire, mentor, and grow a team of analytics engineers who will work closely with finance, CX, HR, compliance and data science teams.
• Architect and lead core data modeling initiatives: Architect our core data models. Provide technical leadership while guiding a team of expert modelers, ensuring scalable, reliable, and high-impact data foundations.
• Obsess over data quality and reliability: Create and enforce rigorous testing, monitoring, and validation frameworks to ensure data is accurate, consistent, and trusted at all times.
• Develop deep domain expertise: Ensure your team deeply understands finance, CX, HR, compliance and product data, building targeted data marts and tools that solve real business problems.
• Leverage AI and LLMs: Investigate how LLMs and AI can change analytics and build data foundations that support these future needs. Focus on creating data marts optimized for LLMs and AI-driven analytics.
• Unlock the value of our data: Partner with stakeholders to maximize the impact of data by building scalable models, optimizing pipelines, and integrating cross-product data for better decision-making.
• Directly deliver business impact: Oversee the creation of dashboards, ad-hoc analytics, and self-service tools that empower product teams to make data-driven decisions.
• Prioritize outcomes over tools: Leverage the right frameworks and technologies to drive value, whether by developing abstractions, creating internal data apps, or improving scalable workflows. <h3>🎯 Requirements</h3> • Experienced in building and leading teams
• Relentless problem solver
• AI-forward
• Hands-on tech lead
• Data modeling and tools
• Engineering best practices
• Autonomous and accountable
• Product and business sense
• Clear and influential communicator
• Strong statistical foundation
• Experience in CX and Compliance analytics <h3>🏖️ Benefits</h3> • Target bonus + target equity + benefits (including medical, dental, vision and 401(k)).