The Role

Loom is looking for an experienced and empathetic Sr Director to lead our Data Team, scale it up, lead it, and inspire everyone they interact with. The Data Team is responsible for data engineering, data science and data analytics efforts across Loom. Your team will own all of the infrastructure that supports data efforts and you will work cross-functionally to help identify new work and deliver insights to multiple teams across the company. You will work closely with stakeholders to define the data roadmap, make necessary infrastructure and engineering investments, make hiring and scope recommendations, and deliver against them. You have a technical background, though you aren’t expected to write code in the critical path. You are an inclusive leader with a curiosity for technology and it shows in your engagement with your peers and the team. Given Loom is a remote-first company, you ideally have experience managing remote and / or distributed teams.

Responsibilities

• You will lead and manage our Data Team, working closely with multiple functional stakeholders within the company, including engineering, go-to-market, product and finance to deliver on the key data needs within the company to help accelerate decision making and inform future investments.
• You will manage data engineering, data science and our analytics teams, understanding the unique growth and development needs of each area, fostering a collaborative environment and building a world class data organization.
• You will manage and advise our Data Team on technical house-keeping initiatives and ensure we are able to consistently improve the scalability, quality and performance of our data infrastructure for the long term.

What We're Looking For

• Managed a team of 20 or more data scientists, data engineers or analysts
• 12+ years of professional full-time experience working with data teams
• 7+ years of management experience
• Led projects with multiple stakeholders and helped drive towards clarity and decision velocity
• Enterprise or teams-oriented product experience
• Track record of hiring, retaining, and growing engineering, data science and analyst talent
• Track record of shipping new products and iterating on them over time