A bachelor's degree in Computer Science, Information Systems, Cybersecurity, or a related field; four additional years of relevant experience may substitute.
At least 10 years in information technology or cybersecurity, including at least five years focused on data security, data governance, or data loss prevention.
Hands-on experience designing and tuning an enterprise data loss prevention platform across at least two channels, such as web, endpoint, email, or software as a service.
Working knowledge of Databricks, including Unity Catalog, access controls, tagging, and audit, or an equivalent lakehouse or data catalog platform.
Demonstrated experience with data classification and labeling, including sensitivity schemes, personally identifiable and sensitive personally identifiable information handling, controlled unclassified information, and exact data matching or indexed document matching fingerprinting.
Working knowledge of the CISA Zero Trust Maturity Model, NIST SP 800-207, and NIST SP 800-53 Revision 5.
Experience on a federal program involving risk management framework or authorization to operate, FISMA, and SIEM log integration.
Knowledge of AWS cloud security fundamentals, including S3, RDS, KMS encryption, IAM, and CloudTrail.
Strong technical writing skills and ability to produce client-ready assessments and brief government leadership.
U.S. citizenship and ability to obtain and maintain DHS suitability.
Responsibilities
Own the agency data pillar maturity baseline against CISA ZTMM v2.0; maintain requirements, KPIs, and tier exit criteria for all eight data functions.
Run evidence-based maturity assessments by defining scoring rules, collecting dated artifacts, distinguishing owned, shared, and inherited controls, and defending scores with system owners.
Translate the maturity roadmap into sequenced work packages, milestone gates, and measurable targets.
Lead a data-source census to establish an authoritative denominator for coverage metrics.
Assess and harden data protection on a Databricks lakehouse, including Unity Catalog governance, fine-grained row- and column-level access, tagging, lineage, audit logs, and secrets management.
Work with the data platform team on encryption at rest and in transit, key management, and data availability and recovery evidence.
Map source-system feeds to data categories and sensitivity, and drive tag-based access policy from role-based toward attribute-based access control.
Partner with the Chief Data Officer and data stewards on classification, ownership, and a Data Governance Working Group.
Design and tune Zscaler data protection policies for Inline Web and Private App DLP, Endpoint DLP, outbound Email DLP, CASB and SaaS API scanning, GenAI DLP, and Device Control.
Build DLP dictionaries and engines, including EDM, IDM, and OCR fingerprinting for agency identifiers.
Translate legacy DLP rules into Zscaler equivalents, and run monitor-then-enforce pilots and parallel operation.
Integrate DLP telemetry with the SIEM (Splunk via NSS or log streaming) and incident workflows, including ICAP, incident receiver, and workflow automation; co-author SOC playbooks.
Support Exchange Online mail-flow integration, TLS and SSL inspection decisions, and endpoint-client prerequisites with the owning teams.
Map data controls to NIST SP 800-53 Revision 5 control families AC, AU, MP, SC, and SI, DHS 4300A, and OMB M-21-31 logging requirements; support RMF and ATO artifacts.
Contribute to post-quantum cryptography inventory and data-at-rest cryptographic posture as they relate to the data pillar.
Write and brief deliverables to government leads, including maturity reports, decision memos, runbooks, RACI, and change requests.
Run working sessions with security policy, cloud infrastructure, SOC, data platform, and privacy stakeholders.
Desired Qualifications
Prior DHS experience, ideally with USCIS or another immigration or benefits component, and familiarity with DHS 4300A.
Zscaler certifications (ZDTA, ZDTE, or Zscaler Data Protection specialist track) or delivery of a Zscaler DLP rollout to more than 10,000 users.
Databricks certification in Data Engineer Associate, Data Engineer Professional, or Platform Administrator.
Security certification such as CISSP, CCSP, CISM, or CDPSE; a CDMP data governance credential is also a plus.
Experience migrating from a legacy DLP or insider-risk toolset to an SSE or SASE platform.
Exposure to DSPM tooling, GenAI data controls, or post-quantum cryptography inventory work.
Zero Trust Data Pillar SME Job ID#: 26-1134 Clearance: U.S. citizen; must obtain and keep DHS/USCIS suitability (Public Trust). Active clearance a plus. Location: Hybrid/ DC Metro
Who We Are: Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.
What We Do: At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.
What You’ll Do: Navitas Business Consulting is delivering Zero Trust implementation services to USCIS, aligned to the CISA Zero Trust Maturity Model (ZTMM) v2.0, NIST SP 800-207, OMB M-22-09 and EO 14028. The Data Pillar SME owns the data pillar end to end: from defining what "Advanced" and "Optimal" mean for the agency, to proving it with evidence on the enterprise data lake, to turning DLP policy into enforced controls. The role sits at the seam of four customer groups: the security policy branch, the enterprise data platform (Databricks) team, the Security Operations Center, and the Chief Data Officer's governance function. The right candidate can hold a technical conversation with each and still write the deliverable that ties them together. The work today spans:
Data pillar maturity: rebaselined requirements and KPIs across 8 functions (Inventory, Categorization, Availability, Access, Encryption, Visibility and Analytics, Automation and Orchestration, Governance) and 4 maturity tiers.
Enterprise data lake assessment: evidence-based maturity scoring of a Databricks platform fed by 60 to 80 source systems.
DLP modernization: a phased Zscaler data protection rollout (Endpoint, Email, Inline Web, GenAI) replacing a legacy DLP toolset, with SIEM integration.
Data classification and tagging: maturing an agency data tagging taxonomy (PII/SPII, sensitivity, domain) into enforceable labels.
Responsibilities will include but are not limited to:
Data pillar strategy and maturity (about 30%)
Own the agency data pillar maturity baseline against CISA ZTMM v2.0; maintain requirements, KPIs and tier exit criteria for all 8 data functions.
Run evidence-based maturity assessments: define scoring rules, collect dated artifacts, separate owned vs. shared vs. inherited controls, and defend scores with system owners.
Translate the maturity roadmap into sequenced work packages, milestone gates and measurable targets.
Lead a data-source census so coverage metrics have an authoritative denominator.
Enterprise data platform governance: Databricks (about 25%)
Assess and harden data protection on a Databricks lakehouse: Unity Catalog governance, fine-grained access (row/column), tagging, lineage, audit logs and secrets management.
Work with the data platform team on encryption at rest and in transit, key management, and data availability / recovery evidence.
Map source-system feeds to data categories and sensitivity; drive tag-based access policy (RBAC toward ABAC).
Partner with the Chief Data Officer and data stewards on classification, ownership and a Data Governance Working Group.
DLP engineering and operations: Zscaler (about 30%)
Design and tune Zscaler data protection policy: Inline Web and Private App DLP, Endpoint DLP, outbound Email DLP, CASB / SaaS API scanning, GenAI DLP, and Device Control.
Build DLP dictionaries and engines, including EDM / IDM / OCR fingerprinting for agency identifiers.
Translate legacy DLP rules into Zscaler equivalents; run monitor-then-enforce pilots and parallel operation.
Integrate DLP telemetry with the SIEM (Splunk via NSS / log streaming) and incident workflow (ICAP, incident receiver, workflow automation); co-author SOC playbooks.
Support Exchange Online mail flow integration, TLS / SSL inspection decisions, and endpoint client prerequisites with the owning teams.
Compliance, documentation and stakeholder delivery (about 15%)
Map data controls to NIST SP 800-53 Rev 5 (AC, AU, MP, SC, SI families), DHS 4300A and OMB M-21-31 logging requirements; support RMF / ATO artifacts.
Contribute to post-quantum cryptography inventory and data-at-rest cryptographic posture as it relates to the data pillar.
Write and brief deliverables to government leads: maturity reports, decision memos, runbooks, RACI and change requests.
Run working sessions with security policy, cloud infrastructure, SOC, data platform and privacy stakeholders.
What You’ll Need:
Bachelor's degree in Computer Science, Information Systems, Cybersecurity or related field (4 additional years of relevant experience may substitute).
10+ years in IT or cybersecurity, including 5+ years focused on data security, data governance or DLP.
Hands-on experience designing and tuning an enterprise DLP platform (Zscaler preferred; Symantec/Broadcom, Forcepoint, Microsoft Purview, Netskope or Palo Alto acceptable) across at least two channels (web, endpoint, email, SaaS).
Working knowledge of Databricks (Unity Catalog, access controls, tagging, audit) or an equivalent lakehouse / data catalog platform (Snowflake, AWS Lake Formation, Microsoft Purview Data Map).
Demonstrated experience with data classification and labeling: sensitivity schemes, PII/SPII handling, CUI, and fingerprinting (EDM / IDM).
Working knowledge of the CISA Zero Trust Maturity Model, NIST SP 800-207 and NIST SP 800-53 Rev 5.
Experience on a federal program with RMF / ATO, FISMA and SIEM log integration (Splunk preferred).
Strong technical writing; able to produce client-ready assessments and brief government leadership.
U.S. citizenship; able to obtain and keep DHS suitability.
Set Yourself Apart:
Prior DHS experience, ideally USCIS or another immigration / benefits component; familiarity with DHS 4300A.
Zscaler certifications (ZDTA, ZDTE or Zscaler Data Protection specialist track) or delivery of a Zscaler DLP rollout at 10,000+ users.
Databricks certification (Data Engineer Associate / Professional, or Platform Administrator).
Security certification: CISSP, CCSP, CISM or CDPSE; data governance credential (CDMP) a plus.
Experience migrating from a legacy DLP or insider-risk toolset to a SSE / SASE platform.
Exposure to DSPM tooling, GenAI data controls, or post-quantum cryptography inventory work.
Salary: $120,000-$180,000
The salary range listed reflects our standard market pay structure. Final compensation will be determined based on multiple factors, including, but not limited to, the candidate’s unique qualifications, skills required for the position, professional experience, education, and business needs, at the time of hire.
Equal Employer/Veterans/Disabled
Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources.
Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas.