The Data Products team at Mailchimp is a new forming team within our Data Engineering organization responsible for creating and managing data pipelines and products for our Product and Finance teams to enable peeps to make better decisions with data. What that actually looks like is working with folks from across the Product and Finance departments to understand their needs and then surface data in a meaningful way within self-service data and analytics tools to help them drive the business forward. Day to day you’ll lead a team of teams to build ETL pipelines, to model data that feed analytical reports and data science models, and to maintain production data flows and data sets. We have a lot of tools in our toolbelt, all with the main goal of helping Mailchimp to continue to use data more effectively.
- You have several years of experience managing high-performing data engineering teams to build data pipelines and data products
- You are an outstanding written communicator
- You have a track record of delivering for your customers successfully
- You are an empathetic leader who values bringing diverse perspectives to the table
- You drive clarity when things are ambiguous and operate calmly under pressure
- You are patient, resilient, collaborative, persuasive and able to lead a team without resorting to authority even when it’s challenging, ambiguous, or intense
- You have experience delivering simple solutions to complex problems via consistent, iterative releases
- You have a commitment to increasing efficiency in the workplace by continuously reviewing and adjusting processes, org structure, tools, etc.
- You are able to effectively coach and manage the performance of people managers and engineers ranging from highly experienced to entry level
- Foster an inclusive environment within your teams and peers in Data Engineering
- Lead and equip a distributed engineering team to develop and improve data products, pipelines, and data models, focusing on the direct support to Product and Finance business functions
- Collaborate with engineers, product and project managers, privacy legal team, and other peers to develop and maintain data engineering solutions in support of predictive analytics and other data products as required to support Product and Finance teams
- Promote and educate your peers and senior leadership on the systems and data flows your team builds and maintains through thorough documentation and diagrams of the systems and data flows
- Coach and mentor decision making and problem solving and identify and sponsor growth opportunities for your team
- Partner with teammates to prioritize work, triage issues and eliminate obstacles in the team’s path
- Work with Data team leaders to ensure your team has appropriate numbers and skills to accomplish its goals
