VP, Data Engineering

Why it matters: Our product and technology teams, including the data teams at Axios, enable our mission of delivering the cleanest, smartest, most efficient, and trustworthy content to our users. Our data teams are vital to making data-informed decisions, engaging our audiences, creating data products, and staying competitive in the digital age. The data teams at Axios directly impact revenue, strategic decisions, and products across the company at large.

This is an executive role and will have a seat at the table with executives across Axios.

Go deeper: In this role, you will make an impact on Axios through the following responsibilities:

• Directly manages data engineering leadership and some engineering directs through 1:1s, coaching, and feedback as well as takes ownership for all administrative functions
• Owns and is responsible for all aspects, including infrastructure and architecture of the data platform within the data ecosystem
• Sets the vision and strategy for the data platform, with input from Data and AppDev Engineering Leadership, with strong focus on company goals
• Supports Data Leadership to maintain and evolve engineering best practices
• Partners with Product and Data Leadership to develop team roadmaps and assure delivery of agreed to initiatives
• Partners with key stakeholders, most often in the realm of legal & compliance
• Defines and owns product health metrics with input from Data Leadership
• Provides technical guidance, staying informed on industry best practices, and emerging technologies in all relevant areas
• Partners across the engineering department to assure alignment with standards, vision, and engineering culture
• Supports cross-functional teams to work productively, with effective prioritization and resourcing
• Owns technical relationships with relevant key vendors and supports the contract review and vendor selection process
• Hires, onboards, manages, and supports a diverse team of individual contributors while actively fostering an inclusive environment
• Maintains a culture that balances healthy urgency with the need for downtime and recuperation

The details: Ideal candidates will embody an entrepreneurial spirit and passion for Axios’ mission and preferably have many of the following skills:

• 10+ years of experience leading data-focused engineering teams, with some of that time managing managers
• 5+ years of data science & machine learning experience
• Experience working with stakeholders at an executive level
• An expert grasp of data engineering including skills in data architecture design, data pipeline development, data modeling, data quality, and governance
• Skilled in working hands-on with columnar data warehouses, business intelligence tools, and the Python ecosystem
• Understanding of modern ML infrastructure and tooling to support data initiatives.
• Knowledge of applicable principles, methodologies, and tools in the data engineering & analytics field
• A track record of approaching management with a human-first mindset, while maintaining a healthy sense of urgency on deliverables
• Excellent listening and communication skills that translate well to a remote work environment

Starting salary for this role is in the range of $177,150 – $236,200 and is dependent on numerous factors, including but not limited to location, work experience, and skills. This range does not include other compensation and benefits. Axios’ compensation philosophy takes into account cost of labor differentials across the country. Because this is a remote-optional job posting, this salary range takes into account all possible locations within the United States, but candidates will only be eligible for the salary range for their location.