Data Engineering Manager, Sr
Old National Bank · Milwaukee, WI · 1 mo ago
Engineering$98k–$199k/yrFull-time
We need to produce HTML fragment with sections: Overview (maybe not a heading? The instruction: use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). They said do NOT repeat the job title as a heading. Overview is not listed but could be considered "About the role"? The posting includes Overview paragraph about company. Could be considered "About the role" or maybe we can omit Overview if not needed? But they said include a section ONLY when posting has real, specific content for it. Overview is present, but not one of the listed headings. However they gave examples; we can use other headings if appropriate. The overview is about the company, not role. Could be "About the role" but it's about company. Might still be appropriate to include a section like "About the role" with that content. Or we could omit Overview entirely? The instruction: "Prefer a few substantive sections over many thin ones." The overview is substantive. I'd include a section with heading
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). They said do NOT repeat the job title as a heading. Overview is not listed but could be considered "About the role"? The posting includes Overview paragraph about company. Could be considered "About the role" or maybe we can omit Overview if not needed? But they said include a section ONLY when posting has real, specific content for it. Overview is present, but not one of the listed headings. However they gave examples; we can use other headings if appropriate. The overview is about the company, not role. Could be "About the role" but it's about company. Might still be appropriate to include a section like "About the role" with that content. Or we could omit Overview entirely? The instruction: "Prefer a few substantive sections over many thin ones." The overview is substantive. I'd include a section with heading About the role
and put the overview paragraph(s). Then Responsibilities: we have responsibilities paragraph and then Key Accountabilities (which are detailed). Should we treat Key Accountabilities as part of Responsibilities? Probably yes, they are responsibilities. So we can combine responsibilities paragraph and key accountabilities into a - list. However the responsibilities paragraph is prose; we can keep as
then list.
Qualifications: they have "Q Ualifications And Education Requirements" with subparts: Education and Experience, Technical Skills. We'll make a section
Qualifications
and include paragraphs/lists.
Skills: they have Technical Skills already; could be part of Qualifications. But we could also make a separate Skills section. However they said prefer few substantive sections. So combine qualifications and skills into one Qualifications section.
Benefits: they mention benefits in Overview: "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..." So we have benefits details. Also they have Salary Range section. So we need Pay section (salary range). Benefits section (medical, dental, vision, 401K, continuing education, employee assistance, Impact Network Groups). Schedule: not mentioned, so omit.
We must not include boilerplate like EEO etc. Not present.
We must not repeat job title as heading. Not include Job ID.
We must preserve all substantive information. Do not invent or summarize away detail. Must not include filler like "commensurate with experience". Not present.
We need to output only HTML fragment.
Let's extract details:
Overview paragraph(s):
"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."
That's overview.
Responsibilities paragraph:
"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."
Then Key Accountabilities (4) each with bullet points. We'll convert each accountability into a - maybe with sub-bullets? The instruction: Use
- for any list of duties/requirements/benefits. So we can make a
for responsibilities, each accountability as a - containing the detailed sentences. Could also keep the prose paragraph as
then list.
We'll produce:
Responsibilities
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.
- 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.
- 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.
- 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.
- 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.
But we also have "Key Competencies for Position" list (many bullet-like paragraphs). Those are competencies, could be considered part of Qualifications or Skills. The instruction: Use - for any list of duties/requirements/benefits. Competencies are like requirements/skills. So we should include them as a list under Qualifications or Skills. Since we have Qualifications section, we can include competencies there.
Qualifications: Education and Experience bullet list? Actually it's prose with line breaks. We'll convert to
- for each requirement.
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 list:
- 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 serv (cut off). The text ends abruptly: "Plus: Experience with financial serv". Probably incomplete; we should preserve as is? It says "Plus: Experience with financial serv". We'll include that as a bullet.
Key Competencies list: many items each starting with a bolded competency name. We'll treat each as
- with the bolded heading and description.
We need to preserve all substantive information; we must not invent or summarize away detail. So we need to include each competency exactly as written.
Let's extract competencies from the text:
"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
then list. Qualifications: they have "Q Ualifications And Education Requirements" with subparts: Education and Experience, Technical Skills. We'll make a section
Qualifications
and include paragraphs/lists. Skills: they have Technical Skills already; could be part of Qualifications. But we could also make a separate Skills section. However they said prefer few substantive sections. So combine qualifications and skills into one Qualifications section. Benefits: they mention benefits in Overview: "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..." So we have benefits details. Also they have Salary Range section. So we need Pay section (salary range). Benefits section (medical, dental, vision, 401K, continuing education, employee assistance, Impact Network Groups). Schedule: not mentioned, so omit. We must not include boilerplate like EEO etc. Not present. We must not repeat job title as heading. Not include Job ID. We must preserve all substantive information. Do not invent or summarize away detail. Must not include filler like "commensurate with experience". Not present. We need to output only HTML fragment. Let's extract details: Overview paragraph(s): "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." That's overview. Responsibilities paragraph: "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." Then Key Accountabilities (4) each with bullet points. We'll convert each accountability into a- for any list of duties/requirements/benefits. So we can make a
- for responsibilities, each accountability as a
- containing the detailed sentences. Could also keep the prose paragraph as
then list. We'll produce:
Responsibilities
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.
- 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.
- 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.
- 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.
- 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.
- for any list of duties/requirements/benefits. Competencies are like requirements/skills. So we should include them as a list under Qualifications or Skills. Since we have Qualifications section, we can include competencies there.
Qualifications: Education and Experience bullet list? Actually it's prose with line breaks. We'll convert to
- for each requirement. 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 list: - 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 serv (cut off). The text ends abruptly: "Plus: Experience with financial serv". Probably incomplete; we should preserve as is? It says "Plus: Experience with financial serv". We'll include that as a bullet. Key Competencies list: many items each starting with a bolded competency name. We'll treat each as
- with the bolded heading and description. We need to preserve all substantive information; we must not invent or summarize away detail. So we need to include each competency exactly as written. Let's extract competencies from the text: "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
- containing the detailed sentences. Could also keep the prose paragraph as