Overview: The Data Masking SME (DMS) is responsible for leading the development, design, and implementation of enterprise-wide data masking initiatives. This role requires in-depth experience with data privacy frameworks and governance, stakeholder engagement, and performance optimization in complex data environments.
This individual will be responsible for guiding the implementation of Oracle Data Masking solutions and ensuring sustainable practices through cross-departmental collaboration, compliance alignment, and technical optimization.
Day-to-Day:
Key Responsibilities:
Define the overall data masking development, including goals, timelines, scope, and key milestones through collaboration with project management teams through workshops and requirement-gathering sessions
Lead the project initiation phase, define objectives, and develop a roadmap for the implementation of Oracle Data Masking with the ability to communicate these points to key internal and external stakeholders
Define and document appropriate data masking techniques to Oracle Data Masking features and tools (e.g., deterministic, randomization, format-preserving encryption) tailored to the data types and business needs.
Translate compliance requirements and business priorities into a masking framework that can be operationalized across Delphis' systems.
Develop comprehensive masking policies and reusable rule sets based on data classification outcomes and compliance mandates.
Oversee system performance assessments following the application of masking rules.
Partner with technical teams to ensure that masking implementations do not degrade system performance, business workflows, or user experiences.
Provide guidance for rule optimization to minimize resource consumption during masking operations.
Build and maintain a governance framework to oversee data masking policies, lifecycle management, and exception handling.
Implement audit logging, compliance reporting, and monitoring mechanisms to validate adherence to data protection policies.
Serve as a key advisor in internal and external audits related to data protection and privacy.
Must-haves:
8+ years of experience in data privacy, security architecture, or enterprise data governance.
Demonstrated experience in leading Oracle Data Masking development, deployment, and implementation projects in regulated environments within a large, complex organization
Expertise in Oracle Data Masking and Subsetting Pack, Delphix – Oracle Data Masking, and Oracle DB architecture.
Familiarity with data classification tools, DLP (Data Loss Prevention) solutions, and information lifecycle management.
Strong understanding of sensitive data types (PII, PHI, PCI) and related security models.
Experience in performance tuning and capacity planning post-masking implementation.
Compliance Knowledge:
Deep familiarity with regulatory frameworks such as GDPR, HIPAA, FERPA, SOX, and other industry-specific data protection standards and ability to translate regulatory and requirements into actionable, auditable data masking controls
Proactive, detail-oriented, and able to balance development planning with hands-on execution.
Education:
Bachelor’s or Master’s Degree in Computer Science, Information Systems, Data Security, or a related field.