Senior Data Protection Engineer

Responsibilities

• Translate policy, regulatory, privacy, and risk requirements into practical controls and sustainable operating processes.
• Hands-on knowledge of data discovery, classification, labeling, access, monitoring, retention, and data loss prevention processes.
• Experience with data protection, classification, governance, monitoring, or data loss prevention tools and related operating processes.
• Communicate clearly with technical and non-technical stakeholders and influence practical data protection decisions.
• Balance data protection requirements, business needs, and operational practicality in a regulated environment.
• Show strong analytical, communication, and collaboration skills.

Key Competencies for Position

• Develops Talent - Owns self-development and career growth.
• Strategically Acts - Breaks down larger goals into smaller achievable goals and communicates how they contribute to the broader goal.
• Compels Communication - Shares information and ideas effectively and transparently, tailoring delivery to engage the audience.
• Delights Clients - Serves internal/external clients with excellence, maintaining a growth mindset and understanding data, metrics, and financial information.
• Leads Inclusively - Seeks diverse relationships, learns about different cultures and backgrounds, and advocates for diverse perspectives.

Required Qualifications and Education Requirements

• Bachelor’s degree in information security, information technology, computer science, risk management, or a related field; or equivalent education, certifications, and relevant work experience.
• 5 or more years of experience in data protection, information security, data governance, IT Security, risk management, or a related field.
• Experience supporting or building data protection capabilities, programs, or controls.

Preferred Qualifications

• Experience with Microsoft Purview, Varonis, or comparable data protection, classification, governance, or DLP platforms.
• Experience using AI-enabled data protection capabilities, including data security posture management, sensitive data discovery and classification, access risk analysis, anomalous behavior detection, automated remediation workflows, and secure adoption of generative AI tools through platforms such as Microsoft Purview, Varonis, or comparable technologies.
• Familiarity with data governance, privacy, or security frameworks such as DCAM, NIST Privacy Framework, FFIEC guidance, or similar industry practices.

Pay

The salary range for this position is $77,900/yr - $ 153,000 /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.

Schedule

N/A

Benefits

Old National offers a comprehensive benefits package including medical, dental, and vision insurance, a 401(k) plan, continuing education opportunities, and an employee assistance program. Additionally, the bank supports various Impact Network Groups led by team members passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization.