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Principal Database Security

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: 1611 Ally Bank
Full Time position
Listed on 2026-09-22
Job specializations:
  • IT/Tech
    Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below

Ally and Your Career Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We love this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion.

From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?

Work Schedule:

Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need.

The

Opportunity

Ally is seeking a Principal leader to drive the Database Security and Data Obfuscation (Data Masking) program across the enterprise.

This role will lead a hybrid onshore/offshore squad responsible for protecting sensitive data across its lifecycle—covering structured and unstructured data in on-prem and cloud environments.

Reporting to the Director, Data Security Operations, this position provides strategic leadership, technical oversight, and execution accountability for critical data protection capabilities, including Database Activity Monitoring (DAM), Database Access Controls, Data Masking, and Test Data Management (TDM).

This is a mid-level to senior-level highly technical role driving working closely with Technology, Privacy, Enterprise Risk, and business stakeholders to manage data security risk, meet regulatory expectations, and enable secure data usage.

This role requires an individual with a strong technical background as well as an ability to work with the IT organization and business management to align priorities and plans with key business objectives.

Responsible for providing technical guidance to staff as they work to accomplish company objectives.

This is a mid-level to senior-level highly technical role.

At this time, Ally will not sponsor a new applicant for employment authorization for this position.

The Work Itself

Key Responsibilities Program Leadership & Strategy

Define and lead the enterprise strategy for Database Security and Data Obfuscation capabilities.

Build and manage a global delivery model (onshore/offshore squad), including prioritization, capacity planning, and performance management.

Establish and maintain policies, standards, playbooks, and governance aligned with regulatory expectations (e.g., FFIEC, GLBA, SOX).

Drive multi-year roadmap for DAM, masking, and sensitive data protection initiatives.

Database Security (DAM & Controls)

Oversee enterprise deployment and operations of Database Activity Monitoring (DAM) and Database security capabilities.

Ensure ongoing tuning, policy management, and optimization of database security controls.

Lead response and integration with SOC/CSIRT for database-related security incidents.

Deliver risk-based reporting and metrics to leadership (e.g., control coverage, alert handling, remediation progress).

Data Obfuscation / Masking & TDM

Design and implement Dynamic Data Masking (DDM) and Test Data Management (TDM) solutions aligned to business and regulatory requirements.

Lead enterprise-wide data masking initiatives across multiple platforms and data domains.

Ensure secure handling of production data in lower environments and define best practices…

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