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Data Governance Engineer

Company:
Old National Bank
Location:
Chicago, IL, 60631
Posted:
May 10, 2024
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Description:

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 have an ambitious Chief Data Office and are building a class-leading data team that works to solve complex business challenges and provide insights to improve our business and customer experience. To enhance the team, we are looking for an innovative, eager data analyst to grow the Data Governance Office in executing the Data Management and Data Governance roadmap. The position will require knowledge of enterprise data governance, data analysis practices, business analysis, and the technical tools to execute on those roadmaps. You will assist with source system identification to understand the business need, working through critical data elements and profiling, and support the technology team to implement processes to ensure good data quality. In addition, the position will work with our business partners and data owners to complete our data catalog with required Data Quality rules and ties to business terms to establish better understanding of Old National’s data. An ability to work with both our business partners and technical teams through these processes will be key to a successful execution and adoption of best practices.

Key Accountabilities

Execution of Data Management and Data Governance roadmaps in accordance with direction from direct leadership and executive leadership.

Data Engineering, basic ETL understanding as well support a Data Engineering team execute required Data Governance Standards.

Source system analysis: Understand the business processes within, data profiling, establish specific data quality rules, catalog data items to ensure proper data lineage is established and maintained.

Monitor data quality and assist with data remediation per standards and guidelines established with key stakeholders.

Perform ad hoc analysis of data and source systems as request come in.

Key Competencies for Position

Working knowledge of data governance principles and frameworks

Source system profiling via a variety of tools and methods (Informatica, MS Power Query, etc.)

Ability to write data quality rules (business facing and pseudo code)

Data lineage/data Catalog knowledge

Master data management

Develop key relationships with business partners and technology to deploy processes and technologies to support

Lead working sessions to review processes, data, and make recommendations for improvement where applicable

Support technical teams with technical requirements when implementing Governance Standards

Ability to understand applications, process, and the data captured during those processes.

SQL capabilities: writing, reading, and troubleshooting at a moderate to advance level

ETL Ability: Able to support basic ETL code and processing, can step in as needed to adjust code or help run items as required.

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 in banking and finance

3+ years’ experience working with data analysis/profile tools, including but not limited to Informatica, SQL Server, MS Power Query, etc.

3+ years’ experience in developing data quality rules

1-2 years’ experience in ETL work

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

Solid written, verbal, and interpersonal skills

Demonstrated ability to communicate and support data culture change initiatives

Client-centered approach to working with line of business stakeholders

Demonstrated ability to engage directly with C-level executives when sharing data, reports and presentations

Preferred working knowledge of banking systems and tools (MeridianLink/LoansPQ, Encompass, Velocify, Fiserv Signature, Marquis Executrax MCIF) preferred

Ability to manage individual projects while working as part of a team on larger initiatives

Preferred exposure to Six Sigma practices

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!

Regular Full-Time

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