Data Engineering Manager

Join to apply for the Data Engineering Manager role at EMC Insurance Companies
.

At EMC, we’re all about working together to make an impact. As part of our team, you’ll have the opportunity to grow, contribute, and gain experience that matters. We strive to be caring leaders, close partners, and responsive experts—always supporting each other to do our best work. Join us, and let’s improve lives together.

This role can be performed remotely within a drivable distance from the Des Moines, Iowa corporate office.

• Executes the enterprise data management roadmap and plans, tracks, and monitors priorities for the data engineering team in collaboration with Enterprise Data Product Manager.
• Monitors and communicates progress to stakeholders and makes adjustments to scope as needed.
• Collaborates with various cross‑functional teams such as Infrastructure, Security and Architecture to remove any obstacles for the data engineering team.
• Plans development phasing, including estimating work effort, understanding cross‑project dependencies, resource planning, and infrastructure planning.
• Develops periodic goals, organizes the work, sets short‑term priorities, monitors all activities, and ensures timely and accurate completion of the work.
• Works with Data Engineers to organize and prioritize their work efforts via Agile delivery structure.
• Provides regular status reports to manage project risks, presentations of design approaches, and participate in architecture reviews.

• Oversees cross‑functional management of data engineering application(s) or solution(s) to achieve business goals.
• Provides recommendations on strategy and initiatives impacting data engineering to meet the current and future needs of respective business areas while maintaining our technical architecture and support.
• Applies knowledge and expertise of current industry trends and techniques in data management to formulate solutions within the context of assigned projects.
• Works with product owners and the Principal Data Engineer to ensure customer needs and requirements are solutioned optimally.
• Provides oversight to ensure high‑performing data processing, inclusion of data quality, and checks and balances to adapt to project requirements.
• Builds data expertise among team and ensures the data quality for the pipelines built by data engineering teams.
• Manages service level agreements (SLA) metrics for production data sets, including availability and data quality.
• Provides and speaks to documentation on system architecture and infrastructure to ensure a highly resilient, available, and recoverable data platform.
• Oversees and plans for disaster recovery preparedness, capacity forecasting, and testing.

• Establishes processes for Agile delivery management, code quality management, and data quality management to ensure team efficiency.
• Aligns organizational goals, practices, and projects with enabling technology to support technology strategy.
• Evangelizes high‑quality software engineering and/or Dev Ops practices towards developing data infrastructure and pipelines.
• Follows established processes for configuration and release management to ensure that all project artifacts are managed, integrated, and versioned, and monitors according to standards.
• Identifies, designs, and implements process improvement solutions that automate manual processes and leverage standard frameworks and methodologies.
• Interprets and incorporates data quality principles to ensure optimal reliability, impact, and user experience.
• Provides guidance to direct reports and enables them to explore new features, versions, and related technologies to enhance data engineering offerings.
• Reviews and provides input to the project source‑to‑target mappings, ETL/ELT system designs, and data testing strategies.
• Makes recommendations to leader on forecasting, annual budget, and scheduling expenditures.
• Analyzes variances, and implements corrective action.
• Works closely with outside vendors to implement and oversee systems as well as day‑to‑day processes.

• Builds and sustains a data engineering team with strong technical and…