Senior Data Protection Analyst

Company Description

Citizant is a leading provider of professional IT services to the U.S. government. We seek to address some of our country’s most pressing challenges in the areas of Agile application development, Enterprise Data Management, Enterprise Architecture, and Program Management support services – focusing on the U.S. Departments of Homeland Security and Treasury. We strive to hire only ethical, talented, passionate, and committed “A Players” who already align with the company’s core values:
Drive, Excellence, Reputation, Responsibility, and a Better Future. No matter how large we grow, Citizant will retain its collaborative, supportive, small-company culture, where successful team effort to address external and internal customer challenges is valued above all individual contributions.

Join our remote team as a Senior Data Protection Analyst
, where you will serve as a technical leader in the design, implementation, and governance of enterprise Data Protection, Data Loss Prevention (DLP), and Data Valuation capabilities. In this role, you will support the Office of the Chief Data Officer (CDO) and collaborate closely with federal clients to advance enterprise data management, strengthen data security postures, and enable Zero Trust principles across the organization.

The ideal candidate is a hands‑on expert with deep experience in developing data protection strategies, implementing DLP technologies, and driving cross‑functional initiatives that safeguard sensitive information throughout its lifecycle.

• Lead the design, implementation, and optimization of enterprise Data Protection and Data Loss Prevention (DLP) solutions.
• Develop and execute strategies to protect sensitive data across cloud and on‑premises environments, consistent with Zero Trust architecture principles.
• Recommend new features and improvements to enhance the customer’s posture on data protection, data loss prevention, and data valuation.
• Collaborate with Infrastructure & Operations teams to integrate data protection capabilities within broader enterprise technology ecosystems.
• Partner with the Office of the Chief Information Security Officer (OCISO) to establish frameworks, standards, and operational processes for data valuation and data classification.
• Drive the creation of policies, workflows, and governance models that ensure data is adequately protected based on business value and regulatory requirements.
• Serve as a subject‑matter expert to federal clients on data management, data protection, and secure data handling best practices.
• Provide technical leadership on enterprise data initiatives, including architecture reviews, risk assessments, and roadmap development.
• Support continuous improvement by evaluating new tools, emerging technologies, and evolving compliance requirements within the data protection space.
• Lead the development and implementation of enterprise data categorization and classification frameworks in support of the CDO’s Zero Trust Data Pillar, ensuring accurate identification and protection of high‑value and sensitive data assets.
• Design and mature data valuation models that account for data sensitivity, business criticality, lifecycle state, and usage context, enabling risk‑informed decision‑making and the prioritization of protection controls.
• Recommend and drive enhancements to enterprise document labeling and handling processes, ensuring alignment with data classification policies, regulatory requirements, and DLP/Zero Trust enforcement mechanisms.
• Translate complex data architectures, security concepts, and governance models into clear, actionable insights for mixed technical and non‑technical audiences to drive adoption of enterprise data governance and protection practices.
• Develop, document, and maintain data health metrics, standardized data definitions, and data governance SOPs, ensuring consistency, transparency, and operational rigor across data protection and management functions.

• Minimum of 10 years of progressive experience in data architecture, data engineering, data analysis, data migration, or related enterprise data disciplines.
• Demonstrated…