Data Loss and Prevention Analyst

LubrizolDeer Park, OH
Hybrid

About The Position

As a Data Loss and Prevention Analyst, you'll be accountable to deliver prompt and reliable data security prevention, monitoring, and response services. This will be accomplished by implementing and managing data protection solutions and providing recommendations to manage information risks, enabling Lubrizol to conduct its business securely while preventing the unauthorized disclosure of company's data. This is an individual contributor role, focused heavily on data protection, leading advancements in data loss prevention. This position is a member of the Information Technology (IT) division and reports to the Senior Manager of Information Security. In this role, you will: Implement procedures aligned with Lubrizol’s policies and standards to protect data in support of a data classification program. Provide subject matter expertise for tools and services regarding current and proposed architectures, strategies, and systems that protect information and prevent data loss. Provide operational support and product lifecycle management of DLP and related security tools (e.g., CASB). Develop and support key usage reports and policy infringement alerts to support each business area and stakeholders (e.g. SOC, Legal, Ethics, Compliance, etc.). Demonstrate expertise with enterprise class DLP platforms including policy creation, tuning, incident analysis, and response workflows; Translating business requirements into effective DLP controls. Assist with investigational efforts related to data loss. Be proficient in data taxonomy design, labeling, and classification models. Providing the business with a solid understanding of relevant regulations (e.g., GDPR, HIPAA, PCI DSS) and how they influence data protection controls within an enterprise environment. Demonstrate the ability to propose enhancements, refine policies to reduce noise, and improve the maturity of the DLP program over time.

Requirements

  • Bachelor’s degree in information technology (IT) or equivalent business experience.
  • 5+ years of related work experience including 3+ years developing and managing Data Loss Prevention (DLP) for cloud, email, network, and/or endpoint systems.

Nice To Haves

  • One or more security related professional certifications: CISSP, GIAC, CISM, CCSP, CISA, CRISC, AWS, Azure, CCSK.
  • Knowledge and experience developing risk aligned DLP monitoring rules, knowledge of DLP systems and products or experience on a security assurance operations team performing DLP triage operations functions.
  • Knowledge and experience with Data Classification policies and technologies to address data leakage.
  • Knowledge and experience with security access administration systems and processes.
  • Advanced knowledge and experience with Windows operating systems, Microsoft Office 365 security features, and Microsoft Active Directory.
  • Advanced knowledge of Azure Information Protection and Microsoft Purview.
  • Programming/scripting skills a plus.

Responsibilities

  • Implement procedures aligned with Lubrizol’s policies and standards to protect data in support of a data classification program.
  • Provide subject matter expertise for tools and services regarding current and proposed architectures, strategies, and systems that protect information and prevent data loss.
  • Provide operational support and product lifecycle management of DLP and related security tools (e.g., CASB).
  • Develop and support key usage reports and policy infringement alerts to support each business area and stakeholders (e.g. SOC, Legal, Ethics, Compliance, etc.).
  • Demonstrate expertise with enterprise class DLP platforms including policy creation, tuning, incident analysis, and response workflows; Translating business requirements into effective DLP controls.
  • Assist with investigational efforts related to data loss.
  • Be proficient in data taxonomy design, labeling, and classification models.
  • Providing the business with a solid understanding of relevant regulations (e.g., GDPR, HIPAA, PCI DSS) and how they influence data protection controls within an enterprise environment.
  • Demonstrate the ability to propose enhancements, refine policies to reduce noise, and improve the maturity of the DLP program over time.
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