Director, Data Analytics And Engineering

Director, Data Analytics And Engineering

We are seeking a leader who is both a deep technical expert and a savvy business strategist to build and scale our Data Analytics and Engineering function. The ideal candidate thrives on diving into the details of data architecture and machine learning models with their team, while simultaneously being able to uplevel the conversation to steer executive-level decisions.

As a key partner to business leaders across the company, you will build and lead a high-performing, multi-disciplinary team to deliver strategic, actionable insights and scalable data products. This is a unique opportunity for a "player-coach" to set the vision for our data organization and build a robust data foundation from the ground up, driving a new level of data-driven excellence at the company.

Your impact will include:

• 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. You will guide the team in applying advanced analytics and machine learning to deliver predictive insights that drive tangible business outcomes.
• Own the End-to-End Data Lifecycle: Take full ownership of the data pipelines for critical business domains. You will be responsible for building and maintaining robust systems for data ingestion, transformation (ETL/ELT), modeling, quality, and governance to ensure data is accurate, accessible, and ready for analysis.

Your experience should include:

• 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.
• Exceptional Technical & Business Depth: You have the ability to go deep into data architecture, data science models, and pipelines to guide technical teams effectively. You will use your deep business acumen, with demonstrated expertise in at least two of the following domains (Go-To-Market, Finance, or Product), to steer the product roadmap and guide executive decisions.
• 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. You have a demonstrated track record of leading and mentoring diverse technical teams.
• 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.
• Excellent Communication Skills: You excel at translating business needs into technical requirements and communicating complex technical concepts to non-technical stakeholders.
• Technical Expertise:
• 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.

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $241,000/YR - $329,500/YR. The offered compensation may also include restricted stock units and a bonus.