Manager, Analytics Engineering

Lead data lakehouse initiatives; own the strategy around how we move, store, govern and serve data internally and to our partners. Lead coordination efforts with engineering partners to ensure stability and scalability of our Data Lakehouse, including defining standards, requirement gathering, testing, and timelines. Serve as a primary data architecture resource who will help drive decisions on tooling, testing, and process to improve data quality. Support the analytics engineering tech stack, keeping pipelines running and maintaining infrastructure. Manage a team of analytics engineers, coaching them in their desired career paths. Mentor analytics in their desire for increased technical proficiency. Define and manage SLAs for data sets that support production services. Design, build, and own data pipelines and warehouse systems that deliver information that drives the business forward. Ingest multiple internal and external systems into our data lake using batch and streaming concepts. Implement an Incident Response Framework to handle situations that disrupt data availability to the business. Work with business domain experts to translate business processes and knowledge into data models that are understandable and used across the company. Partner with data analysts and engineering teams to build foundational data sets that are trusted, well understood, and aligned with business strategy in order to enable self-service through BI tools. Work with analytics and business teams to build predictive analytics solutions using machine learning.