Data Engineering Manager, Sr

at Old National Bank in ChicagoChicago, Illinois, United States

Job Description

Data Engineering Manager, Sr
Job Locations

US-IN-Evansville | US-IL-Chicago | US-IL-Joliet

Category/Function 
Information Technology  

Position Type 
Regular Full-Time  

Requisition ID 
2024-14826  

Workplace Type 
On Site
Overview

Old National Bank has been serving clients and communities since 1834. With $48 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving.
Our team members are our greatest asset, and we continually invest in their growth and development. We offer a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization.
We are looking for a Senior Data Engineering Manager to lead our data engineering team and oversee the development and implementation of technical solutions for our data platforms. You will be responsible for setting the vision and direction for our data products, ensuring alignment with the Data Office and other stakeholders across the bank and in IT. You will also act as a technical product owner for our cloud data platforms, including Azure Databricks, and collaborate with other product owners and managers to deliver value to our customers. You will guide and mentor our data engineers, foster a culture of innovation and excellence, and promote best practices in data engineering and agile methodologies. You will report to the Chief Data Technology Officer and work closely with the Enterprise Architecture, Info Security and Data Governance organizations.
Key Accountabilities
Act as a technical product owner for the cloud data platforms, including Azure Databricks, and collaborate with other product owners and managers to deliver value to the customers.
Oversee the design, development, testing, deployment, and maintenance of data products and platforms, ensuring quality, reliability, and scalability.
Establish and enforce data engineering standards, best practices, and guidelines, and ensure compliance with the enterprise data architecture and governance frameworks.
Monitor, troubleshoot, and resolve data issues, and ensure data quality and security.
Provide technical guidance, mentorship, and coaching to the data engineers, and foster a culture of innovation and excellence.
Position may require the need to travel to other branch or meeting locations.
Key Accountability: Data product development and team leadership.
Lead and manage the data engineering team, including hiring, onboarding, performance management, career development, and retention.
Define and communicate the data engineering vision, roadmap, and backlog, and ensure alignment with the Data Office and other stakeholders.
Act as a technical product owner for the cloud data platforms, including Azure Databricks, and collaborate with other product owners and managers to deliver value to the customers.
Oversee the design, development, testing, deployment, and maintenance of data products and platforms, ensuring quality, reliability, and scalability.
Key Accountability : Technical leadership and guidance.
Establish and enforce data engineering standards, best practices, and guidelines, and ensure compliance with the enterprise data architecture and governance frameworks.
Monitor, troubleshoot, and resolve data issues, and ensure data quality and security.
Provide technical guidance, mentorship, and coaching to the data engineers, and foster a culture of innovation and excellence.
Key Accountability: Forward thinking and leadership communications.
Stay abreast of the latest trends and technologies in data engineering and cloud data platforms, and evaluate and recommend new solutions and tools.
Prepare and present data engineering reports, dashboards, and metrics to senior leadership and business partners.
Key Competencies for Position
Ability to lead, inspire, and empower a team of data engineers, providing clear direction, feedback, and coaching.
Ability to communicate effectively and persuasively with senior leadership, business partners, and technical teams, both verbally and in writing.
Ability to define and execute a data engineering strategy that supports the bank's data vision and goals, and aligns with the enterprise data architecture and governance frameworks.
Ability to manage the end-to-end delivery of data products, from ideation to deployment, using agile and lean principles and practices.
Ability to prioritize and balance multiple projects and initiatives, and manage stakeholder expectations and dependencies.
Technical passion and curiosity to explore and adopt new technologies and approaches... For full info follow application link.

EOE/Minorities/Females/Vet/Disability