Data Engineer - Governance

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.

This position will require knowledge of enterprise data governance, data analysis, business analysis, and the technical tools to execute on those roadmaps. You will assist with creating a unified data model that will be central to all Data Governance activities and helping to set the foundation of our Master Data Management strategy. This includes crucial external and internal reporting, line of business specific needs, and system integration. Activities will include working with stakeholders, subject matter experts, business analysts, and technical teams to execute, maintain, and own the Old National Core Data Model.

Salary Range

The salary range for this position is $62,300 - $122,400 per year.

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: Create and Maintain Data Governance Data Quality Framework

Enable technical frameworks with tech stack that enable monitoring, reporting, and remediation of data quality issues
• Partner with business stakeholders, data owners, and information owners to implement appropriate data quality rules
• Documents procedural level documents to support technical teams and business partners adherence to Data Quality Framework

Key Accountability 2: Data Analysis and Profiling

• Support business partners with proper profiling techniques to better understand the data.
• Drive data accountability to understand data gaps and needs within systems and business processes

Key Accountability 3: Data Cleansing Framework

• Direct framework and strategy to support data cleansing based on Data Quality Framework and Profiling activities.
• Partner with IT design a technical framework that will enable business partners and data analysts to transform their data in a consistent and traceable framework.

Key Competencies for Position

• Promotes Change - Actively seeks information to understand the rationale, implications, and impact for changes. Remains agile by quickly modifying daily behavior, leveraging resources, and trying new approaches to effectively embrace change. Willing to act quickly, learn and adjust as needed. Identifies and recommends changes to leadership to improve performance. Aligns activities to meet individual, team and organizational goals
• Strategy in Action - Breaks down larger goals into smaller achievable goals and communicates how they are contributing to the broader goal. Actively seeks to understand factors and trends that may influence role. Anticipates risks and develops contingency plans to manage risks. Identifies opportunities for improvement and seeks insights from other sources to generate potential solutions. Aligns activities to meet individual, team and organizational goals.
• Compelling Communication - Effectively and transparently shares information and ideas with others. Tailors the delivery of communication in a way that engages the audience and that is easy to understand and retain. Unites others towards common goal. Asks for others' opinions and ideas and listens actively to gain their support when clarifying expectations, agreeing on a solution and checking for satisfaction.
• Makes Decisions & Solves Problems - Takes ownership of the problem while collaborating with others on a resolution with an appropriate level of urgency. Collaborates and seeks to understand the root causes of problems. Evaluates the implications of new information or events and recommends solutions using decisions that are sound based on what is known at the time. Takes action that is consistent with available facts, constraints and probable consequences.

Qualifications and Education Requirements

• Bachelor's degree in related field; advanced coursework/training related to data management, computer science, management information systems
• 3+ years' experience working with data analysis/profile tools, including but not limited to Informatica, SQL Server, MS Power Query, etc.
• 3+ years' working with data transformations and various ETL tools, DBT, FiveTran, Azure Data Factory
• 3+ years' experience working in a variety of data models, ODS, Relational, Fact/Dimension
• Understanding of reporting and data analytics to ensure overall accuracy
• Knowledge of industry leading practices in Analytics and Data Movement
• Strong written, verbal, and interpersonal skills to advance a data driven culture and work priorities.
• Working knowledge of data governance principles and frameworks
  • Source system profiling via a variety of tools and methods
  • Ability to write data quality rules (business facing and pseudo code)
  • Data lineage/data Catalog knowledge
  • Master data management
• Exposure to data platforms such as AWS, GCP, Azure, and/or Databricks

Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles.

As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law.

We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, SVP, to fill a specific position.

Our culture is firmly rooted in our core values. We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical.

We are Old National Bank. Join our team!