Senior Data Strategy Jobs in Minnesota (NOW HIRING)

Old National Bank has been serving clients and communities since 1834. With over $70 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. 

We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance.  401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers 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 offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.

The Senior Data Engineering Manager leads a data engineering team within the Data Technology organization, overseeing the development and delivery of technical solutions that support the bank's data strategy. This leader sets vision and direction for their team's domain, ensures alignment with the Data Office and stakeholders across the bank and IT, and collaborates with other product owners and managers to deliver customer value. The Senior Data Engineering Manager guides and mentors data engineers, fosters a culture of innovation and excellence, and promotes best practices in data engineering and agile methodologies. This role reports to the Chief Data Technology Officer and works closely with the Enterprise Architecture, Info Security, and Data Governance organizations. 

Salary Range

The salary range for this position is $98,400/yr - $199,000/yr plus bonus. The base salary indicated for this position reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on a number of factors, including the specific responsibilities of the position, the candidate’s relevant skills and professional experience, educational qualifications, and geographic location.

Key Accountabilities 

Key Accountability 1: Technical Leadership & Delivery 

• Serve as the technical leader for the team's domain, providing architectural direction and ensuring technical excellence. 

• Collaborate with product owners, managers, and stakeholders to define and deliver data solutions that drive customer value. 

• Oversee design, development, testing, deployment, and maintenance of data products, platforms, or services within the team's scope. 

• Ensure quality, reliability, scalability, and security of delivered solutions. 

• Establish and enforce data engineering standards, best practices, and guidelines. 

• Ensure compliance with enterprise data architecture and governance frameworks. 

• Monitor, troubleshoot, and resolve data and technical issues within the team's domain. 

• Provide technical guidance, mentorship, and coaching to data engineers. 

• Foster a culture of innovation and excellence. 

• Position may require travel to other branch or meeting locations. 

Key Accountability 2: Team Management & Strategic Direction 

• Lead and manage the data engineering team including hiring, onboarding, performance management, career development, and retention. 

• Define and communicate the team's vision, roadmap, and backlog in alignment with the Data Technology organization's strategy. 

• Ensure alignment with the Data Office and other stakeholders across the bank. 

• Provide technical guidance, mentorship, and coaching to develop team capabilities. 

• Foster a culture of innovation, collaboration, and excellence. 

• Define and execute a data engineering strategy supporting the bank's data vision and goals. 

• Align with enterprise data architecture and governance frameworks. 

Key Accountability 3: Solution Development & Operational Excellence 

• Manage end-to-end delivery of data solutions, from ideation to deployment and ongoing support. 

• Apply agile and lean principles and practices (Scrum, Kanban). 

• Establish and enforce standards, best practices, and guidelines within the team's domain.