(Sr.) Data Confidentiality Analyst I (II)

PJM Interconnection•Audubon, PA

5d•Hybrid

About The Position

The Data Confidentiality Analyst works with PJM business and technical stakeholders to coordinate and advance PJM’s Data Disclosure Prevention program. The Data Confidentiality department establishes and promotes practices to protect confidential data and prevent its disclosure by partnering with other departments to design appropriate prevention measures. It ensures that disclosure prevention policies, standards, and practices are practical, effective, well communicated, and supported through ongoing communications, training, and, where applicable, procedural and technical controls. The department also works with business and technical stakeholders to implement data protection tools and serves as an enterprise business owner for data protection requirements. In addition, it administers PJM’s Critical Energy Infrastructure Information (CEII) program by reviewing external requests for CEII materials, answering questions, and guiding internal subject matter experts on CEII requirements. This role supports implementation of the Data Disclosure Prevention Program, facilitates departmental Disclosure Prevention Plans, evaluates CEII requests, and coordinates related initiatives and projects. It builds knowledge of business processes and disclosure risks, supports data quality, retention, security, and privacy improvement efforts, assists departments in interpreting policy, and helps determine the confidentiality of data examples. The role requires effective communication, collaboration, facilitation, and conflict resolution across organizational levels and teams.

Requirements

Bachelor of Science in Business, Bachelor of Science in Information Systems, or equivalent work experience.
At least 5 years of experience.
Ability to produce high-quality work products with attention to detail.
Ability to communicate effectively in a team environment.
Experience in quantitative and qualitative analysis.
Verbal and written communication skills.
Ability to use Microsoft Office Suite, including MS Word, MS Excel, and MS PowerPoint.

Nice To Haves

Knowledge of Critical Energy Infrastructure Information (CEII).
Experience with PJM operations, markets, and planning functions.
Experience supporting any of PJM Committee

Responsibilities

Support implementation of PJM’s Data Disclosure Prevention Program, including its policies and standards.
Facilitate the creation, review, and revision of departmental Disclosure Prevention Plans.
Evaluate external requests for CEII materials and provide internal and external guidance about PJM’s CEII process.
Coordinate Data Disclosure Prevention initiatives and projects to ensure they deliver expected business benefits to PJM, its members, and stakeholders.
Develop and maintain knowledge of key business processes and the risks those processes pose for disclosure of confidential information.
Apply an understanding of how data quality affects business objectives and how disclosure risk can be reduced while meeting those objectives.
Use facilitation and conflict-resolution skills to address differing viewpoints and requirements in cross-team and cross-organization efforts.
Participate in developing department and project work plans, including scope, milestones, schedules, releases, resources, and deliverables.
Build and maintain relationships with PJM leadership, clients, and stakeholders by resolving and communicating issues and responding to needs, requirements, and deadlines.
Communicate effectively with people at all organizational levels, from clerical positions to senior management.
Assist business department owners in interpreting policy requirements.
Gain and maintain awareness of security, privacy, and quality requirements for critical data entities.
Support and provide guidance for point-in-time and ongoing targeted data quality, retention, security, and privacy improvement projects.
Develop awareness of PJM’s confidentiality rules and assist other groups in determining the confidentiality of data examples.