Job details

Division of Intuit - job 3 of 6

Overview

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, Marketing, and Customer teams to enable peeps to make better decisions with data. What that actually looks like is working with folks from across the Product, Marketing, and Customer 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 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.

What you'll bring

You have some years of experience managing high-performing data engineering teams to build data pipelines to and from enterprise Lifecycle Marketing and Customer Success team tech stacks
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 engineers ranging from highly experienced to entry level

How you will lead

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 Lifecycle Marketing or Customer Success 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
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 Engineering team leaders to ensure your team has appropriate numbers and skills to accomplish its goals

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