Comerica - Frisco, TX

posted 2 months ago

Full-time - Manager
Frisco, TX
Credit Intermediation and Related Activities

About the position

The Manager Data Engineering role at Comerica Bank is focused on providing thought leadership to deliver innovative and efficient data solutions. This position is responsible for developing strategic data plans, overseeing the delivery of data solutions, and managing a team of data engineers. The role involves collaboration with various stakeholders to enhance business capabilities through technology, ensuring compliance and operational excellence, and fostering a high-performing team culture.

Responsibilities

  • Partner with corporate functional leaders to create and execute a technology strategy that enhances overall business capabilities.
  • Stay updated on technology industry trends and best practices.
  • Continuously transform the organization to increase efficiencies and reduce expenses.
  • Collaborate with the innovation team to test and learn emerging technologies.
  • Create, prioritize, plan, and execute portfolio/product roadmaps or initiatives in collaboration with technology and business partners.
  • Utilize Agile methodologies to reduce time to market and surface issues and risks for resolution.
  • Ensure employees deliver new technology solutions in accordance with the roadmap and meet established objectives.
  • Cultivate good system management disciplines with clearly defined roles and responsibilities.
  • Define and report metrics based on overall business objectives.
  • Ensure compliance and control activities support technology and enterprise business objectives.
  • Drive a continuous improvement culture through documented policies and procedures.
  • Manage and develop the team, fostering a spirit of shared goals and objectives.

Requirements

  • Bachelor's Degree in Computer Science, Engineering, Math, or relevant technology experience, or equivalent experience with a High School diploma and 12 years of progressively responsible experience.
  • 6 years of technology experience and proficiency.
  • 6 years of experience leading large, complex technology projects.
  • 5 years of experience influencing strategy for large organizations.
  • 5 years of experience managing data teams.
  • 5 years of experience in data architecture and developing ETL data pipeline solutions to AWS S3 lake and Snowflake lakehouse.
  • 5 years of experience with data modeling, cataloging, and MDM.
  • 5 years of experience developing ETL solutions to data lake and lakehouse using Informatica, IICS, and data quality IDQ.
  • 5 years of experience in SQL and Python, including SQL performance tuning.
  • 5 years of experience mentoring team members and guiding them through development roadblocks.
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