Security Data Classification and DLP Analyst needed for a remote project!
Experience with Data Classification and Data Loss Prevention is required.
Pharmaceutical/Biotech/Medical Devices/Life Sciences HIGHLY preferred.
This is a W2 role only. No C2C.
$75.00 an hour supporting EST time zone (7 a.m. EST start time to accommodate European partners)
Position Notes:
- Role will implement DLP (Data Loss Prevention) at new location(s). Basic data classification policy – gap is current state does not classify most of the docs.
- Role will need to help classify docs and implement the DLP. The use of Cyera for tagging and use classification by default.
- Data engineers to validate the classification is correct. Then work with the DLP team and tools.
- Client has a current DLP resource. Our role is to be a liaison between BO and the tech DLP team.
- Tool is Cyera. Implementation for DLP is Netskope.
- Requirement is for any DLP tools, knowledge, to support the DLP Netskope person(s).
- Familiar with RIM (Records Information Management)
Job Description:
- Hands-on experience with data classification frameworks (e.g., sensitivity labels like public, confidential, restricted).
- Knowledge of records lifecycle (creation, usage, storage, and disposition).
- Familiarity with retention schedules and compliance with legal, regulatory, and corporate policies.
- Understanding of physical and electronic records management processes.
- Certification (e.g., Certified Records Manager (CRM) or Information Governance Professional (IGP)).
- Familiarity with tools for classification (e.g., Microsoft Purview, Boldon James, Titus).
- Knowledge of regulatory requirements for data (e.g., GDPR, CCPA, HIPAA, PCI-DSS).
- Ability to identify and classify structured vs. unstructured data.
- Expertise in deploying and managing DLP solutions (e.g., Cyera, Netskope).
- Skills in defining DLP policies and rules to prevent unauthorized data access or leakage.
- Incident response and investigation experience for DLP alerts.
- Some training experience is a preferred
- DLP and Data File Exceptions experience is a preferred
- Training awareness experience – training of classification to end users
- Communication skills
- Exceptions to the classification and able to describe to the end users
Professional Experience:
Implementation and Management:
- Proven track record in implementing RIM, data classification, or DLP systems.
- Hands-on experience in rolling out data classification and DLP policies at scale.
Risk and Compliance:
- Experience working in regulated industries (e.g., healthcare, finance, or government) and managing compliance requirements.
- Audit and monitoring activities tied to RIM, data classification, and DLP processes.
Cross-functional Collaboration:
- Demonstrated ability to collaborate with IT, legal, compliance, and business teams for governance projects.
Metrics and Reporting:
- Experience in generating reports and dashboards to measure the effectiveness of RIM, data classification, and DLP strategies.
Certifications and Education
- Relevant certifications (e.g., CRM, CIP, CISSP, CISM, GIAC certifications for DLP).
- Advanced degrees or coursework in information governance, cybersecurity, or IT management.
Soft Skills
- Analytical thinking and problem-solving skills.
- Strong communication skills for policy advocacy and training end-users.
- Detail-oriented, with a proactive approach to handling sensitive information.
Bonus Points
- Case studies or projects highlighting RIM/DLP implementation success.
- Familiarity with emerging technologies like AI/ML in data classification and information protection.
- Participation in industry forums or thought leadership on data security topics.