OverviewThe 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.
- Ensure compliance with enterprise data architecture and governance frameworks.
- Drive operational excellence through monitoring, issue resolution, and continuous improvement.
- Ensure data quality and security across all team deliverables.
Key Accountability 4: Forward Thinking & Leadership Communications
- Stay abreast of latest trends and technologies in data engineering, cloud platforms, and the team's domain area.
- Evaluate and recommend new solutions, tools, and approaches.
- Demonstrate technical passion and curiosity to explore and adopt new technologies.
- Prepare and present data engineering reports, dashboards, and metrics to senior leadership and business partners.
Key Competencies for Position
- Develops Talent - Advocates for talent development as an organizational imperative and develops people according to talent strategy needs cultivating a diverse succession “pipeline”. Continuously assesses talent across the bank to develop an understanding of capabilities and potential and leverages talent as a corporate resource to meet needs today and into the future. Cultivates an environment of trust and optimizes others' talents and capabilities across the organization, driving a culture of continuous coaching and feedback. Retains, attracts and recruits top diverse talent leveraging opportunistic hires to meet current and future people needs at Old National.
- Promotes Change - Explains the business need, impact, and anticipated benefits of the change while engaging stakeholders to gain buy-in. Shapes and transforms culture by building an organizational culture of change agility. Manages risk associated with the change through appropriate contingency planning. Promotes change where it is needed to stay relevant and successful while creating conditions for team members to creatively generate new ways to enhance Old National's ability to succeed.
- Strategy in Action - Develops, communicates, and aligns organization with a clear vision and strategy empowering team members to take action. Maintains a strong network of advisors and leverages resources to stay current on emerging trends and market factors that may influence ONB’s strategy. Envisions how Old National's responses to trends may impact our longer-term vision and strategy while formulating a clear strategy that will accelerate ONB towards its strategic goals. Challenges the status quo to develop new ways of thinking encouraging curiosity beyond the current state. Conveys opportunities to realize the organization’s purpose, strategy, and culture in a way that captures attention, arouses emotion and compels others to act despite obstacles.
- Compelling Communication - Conveys transparent messages logically, simply, succinctly and at the right pace while being in command of the message. Captivates audience through compelling language tailored to the audience’s expectations and communication style. Checks for understanding and presents messages in different ways to enhance receiver’s understanding. Listens and objectively considers others’ ideas and perspectives while encouraging others to do the same while addressing negative reactions to others’ ideas that jeopardize this open exchange.
- Makes Decisions & Solves Problems - Analyzes, contrasts, combines and compares data to define the most relevant organizational problems and opportunities and gain clarity on potential impact. Creates sound strategies by gathering information through listening, deep questions, challenging assumptions and collaborating with networks in and outside of Old National. Aligns efforts and resources around blue chips and formulates decisions on relevant factors (e.g., costs, benefits, buy-in, risks) with the greatest potential for positive impact. Sets strategic direction for short-and long-term goals while remaining agile to adjust plans to close current gaps, modifying priorities as circumstances change.
- Delights Clients - Cultivates an environment where team members passionately serve internal/external clients with excellence. Promotes a growth mindset culture by keeping current with development and trends in industry and sharing information to build knowledge base of organization and net promotor score. Understands data, metrics and/or financial information and how they tie to clients, business outcomes, organization and industry. Empowers a culture of accountability across the organization where all team members nurture client relationships by listening, prioritizing, and acting responsibly to meet client needs, mitigate risk and add shareholder value.
- Leads Inclusively - Advocates the value of diversity as a competitive advantage and initiates and champions inclusive recruiting and development processes that challenge the status quo, when necessary, to increase diversity in the workplace. Sets up outreach systems and processes that seek ideas, opinions, and insights from diverse sources and while optimizing effectiveness by aligning individuals’ unique talents, interests and abilities with the most relevant roles and responsibilities. Thinks with an inclusive lens promotes inclusion by actively leading DEI initiatives while encouraging all team members to engage in DEI experiences. Demonstrates self-awareness, admits mistakes and seeks feedback from all levels within Old National while acknowledging and challenging bias (conscious and unconscious) and exclusionary behavior.
- Personifies ONB Culture - Instills confidence in one’s actions and outcomes consistent with Old National's culture. Promotes the organization’s vision, strategy, and values while recognizing behavior that supports the vision and values. Conveys opportunities to realize the organization’s purpose, strategy, and culture in a way that captures attention, arouses emotion and compels others to take action despite obstacles. Inspires others to personally contribute to the organization’s success for the long term by investing time, heart, and expertise to help clients and communities thrive.
Qualifications and Education Requirements
Education and Experience
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent work experience.
- 8+ years data Engineering (ETL/ELT, data pipelines, data lakes, data warehouses, and data integration solutions)
- 3+ years managing and leading data engineering teams (financial services/banking preferred)
- 3+ years cloud data platforms (e.g., Azure Databricks, Data Factory, Data Lake Storage, Synapse Analytics, or equivalent)
- 3+ years technical product owner/product manager for data products, platforms, or solutions using Scrum or Kanban
Technical Skills
- Expertise in building scalable, reliable, and secure data solutions using modern data engineering approaches (metadata-driven, event-driven, and API-driven).
- Experience working with stakeholders on gathering requirements, defining user stories, and translating business needs into data solutions, with a focus on developing reusable and modular components.
- Experience in scripting tools such as Python, C#, or PowerShell.
- Experience in orchestration tools or job schedulers, such as Azure Data Factory, Airflow, or equivalent.
- Experience in data modeling, data quality, data governance, and data security standards and best practices.
- Experience in code repositories and version control tools such as Azure DevOps, Git, etc.
- Experience in analytical and data visualization tools such as Power BI, Tableau, or equivalent.
- Strong T-SQL proficiency including complex stored procedures, user-defined functions, and query optimization.
- Plus: Experience with financial services data domains (e.g., customer, transaction, risk, or wealth data).
