Description
Key Responsibilitie
s1. Data Modeling & Architectur
- eDesign and implement scalable data models that integrate vulnerability data across multiple systems (e.g., cloud, infrastructure, application, endpoint)
- .Standardize and normalize disparate vulnerability data sources into a consistent, queryable structure, supporting aggregation and cross-domain analysis
- .Partner with data engineering teams to ensure efficient ingestion, transformation, and storage pipelines
.2. Analytical Methodology Developmen
- tDevelop quantitative methods to
- :Measure vulnerability exposure and risk postur
- eTrack remediation effectiveness over tim
- eIdentify drivers of exposure (e.g., asset type, product, CVE clustering, ownership
- )Determine how to measure Mean Time to Patc
- hBuild frameworks to distinguish
- :One-time remediation issues vs. recurring systemic vulnerabilitie
- sStable vs. volatile vulnerability population
s3. Reporting & KPI Framework Developmen
- tDesign and implement weekly reporting outputs that provide
- :Trendlines (week-over-week, SLA adherence, backlog movement
- )Exposure metrics (e.g., open vulnerabilities, aged findings, critical assets
- )Ownership views (by division, product, or application
- )Develop monthly analytical snapshots to
- :Assess current-state risk postur
- eIdentify structural improvements or regression
- sSupport governance and regulatory reportin
- gBuild automated dashboards and reporting solutions in tools such as Power BI or Tableau
.4. Trend Analysis & Insight Generatio
- nPerform deep-dive analyses to identify
- :Root causes of vulnerability accumulatio
- nSystemic control gaps or weak point
- sTrends across CVEs, products, and technology stack
- sDevelop models to support forecasting and predictive risk insights where feasible
- .Translate analytical findings into clear narratives for senior stakeholders
.5. Stakeholder Engagement & Executive Communicatio
- nPartner with vulnerability management, risk, and engineering teams to
- :Define reporting requirements and KPI
- sAlign on data definitions and governance standard
- sDeliver executive-ready insights answering
- :What changed
- ?Why it changed