ERM Data Product Owner

Old National Bank•Chicago, IL

About The Position

Old National Bank has been serving clients and communities since 1834. With $50 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 ERM Data Product Owner is responsible for leading the development, implementation, and continuous improvement of data products that support Enterprise Risk Management (ERM) objectives. This role bridges data governance, analytics, and risk strategy to ensure data assets are leveraged effectively for risk identification, mitigation, and regulatory compliance. The Data Product Owner will build from the ground up data analytics capabilities for the Risk Management Team. The Data Product Owner will partner with the most senior leaders across the Risk Organization. This position reports directly to the GRC Platform and Data Analytics Manager. The Data Product Owner establishes, plans, and administers the overall goals and roadmap of the Risk Management data strategy. They provide strategic guidance and overall direction on solutions and closely partners with the Risk Leadership Team.

Requirements

Bachelor’s degree in Management Information Systems, Computer Science, or related fields
5+ years’ experience in data management role
3+ years’ experience in building/maintaining data governance
3+ years’ experience in data lifecycle policy and standards
3+ years’ experience in banking and finance (Preferred)
Knowledge and experience with PowerBI, SQL, and/or Python
Knowledge of industry leading practices in Data Architecture, Analytics/Reporting, and Governance
Strong written, verbal, and interpersonal skills with executive leadership
Demonstrated ability to communicate and lead culture change initiatives
Strong project management skills
Result-driven individual, be highly creative and analytical, be a strategic thinker, have an ability to work comfortably in a collaborative setting
Comfortable working with business top-leadership and executives
Highly organized, have an ability to work on multiple simultaneous projects and meet tight deadlines

Nice To Haves

3+ years’ experience in banking and finance (Preferred)

Responsibilities

Risk Management Data Roadmap: Collaborates with Risk Leadership Team to build and maintain data roadmap and strategy
Provides strategy and manages execution of building a data consumption layer (semantic) in the modern data warehouse to promote ease of use and self-service.
Maintains/Oversees overall data projects for their respective line of business
Partners with Chief Data & Technology Officer & team to review and approve proposed architecture for their data assets within a particular line of business
Provides executive leadership team with periodic updates on Risk Management data roadmap
Understands collection, management, and storage of Risk Management data across an organization
Fosters a relationship of trust and playing an advisory role in the use of data to improve performance and business-wide strategy formulation
Develop and Implement Power BI Reports: Creates a consistent dashboard, reporting, and analytics experience for the Risk Team members
Understands functional requirements of Power BI and can design a data model to transform raw data into meaningful insights
Convert business requirements into technical specifications and implement them through reports that support decision-making
Perform DAX queries and functions in Power BI
Risk Management Data Governance & Controls: Fully understands Risk Management data landscape and partners to identify business ownership
Highly collaborative role and will assist in overseeing data governance
Provides oversight and updates to executive leadership on data risks and issues
Establish data controls for their respective line of business
Provides thought leadership on Data Policy, Standards, and Procedures
Oversees and ensures execution of policy and standards
Information Owner on strategic data platform(s) to ensure resiliency, security, access, and data flow
Contributing to data privacy policies and complying with data protection regulations
Risk Management Data Team Management: Overseeing data management, data analytics, and data governance projects
Accountable to grow, lead, motivate, and manage the Risk Management data program
Responsible for training and enabling Risk Management stakeholders on the data products created and published
Develop and maintain communications plan with partners, team members, and senior leadership
Provide senior leadership on building a data culture across the organization
Works closely with the data and technology departments in organizing and creating an environment that makes data and information accessible with appropriate channels of access controls
Business Process Improvement: Identify opportunities to leverage data management processes and reduce manual testing and monitoring processes.
Identify trends, anomalies, and opportunities through data analysis to support risk management and strategic planning.
Work with our Data Governance team to ensure adherence to data governance policies and procedures to ensure data integrity and accuracy.
Work with stakeholders to assess and improve data quality and consistency.