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Data Mining Coordinator/Project Manager- Incident Response
Data Mining Coordinator/Project Manager- Incident ResponseIDENTITY THEFT GUARD SOLUTIONS INC • Beaverton, OR, US
Data Mining Coordinator / Project Manager- Incident Response

Data Mining Coordinator / Project Manager- Incident Response

IDENTITY THEFT GUARD SOLUTIONS INC • Beaverton, OR, US
27 days ago
Job type
  • Full-time
Job description

Job Description

Job Description

Description : Opportunity Overview

IDX is looking for a driven and detail-focused Data Mining Coordinator or Project Manager to play a hands-on role in supporting our Incident Response practice. This role will act as the operational hub between forensic specialists, legal counsel, and clients. The primary focus is ensuring complex data breach matters stay on schedule by coordinating data analysis efforts and helping clients navigate regulatory response requirements.

This role may be filled at either a Data Mining Coordinator or Data Mining Project Manager level, depending on experience. Core responsibilities are consistent across both levels; scope, autonomy, and ownership will scale based on prior experience.

Role and Responsibilities

Project Coordination & Client Support

  • Coordinate the daily execution of incident response and data mining matters from data intake through analysis and reporting.
  • Serve as a primary point of contact for clients and external partners regarding project status, timelines, and data transfer logistics.
  • Track project milestones, dependencies, and deliverables to ensure regulatory notification and reporting deadlines are met.
  • Draft and distribute status updates, metrics, and reporting materials to internal and external stakeholders.

Quality Control & Delivery Support

  • Perform quality control (QC) reviews on data mining deliverables to ensure accuracy, completeness, and alignment with defined scope and review criteria.
  • Support the transition of data from forensic extraction through review and reporting phases to ensure matters progress smoothly through the response lifecycle.
  • Maintain detailed documentation to support defensibility, audit readiness, and quality assurance standards.
  • Technical & Workflow Support

  • Utilize eDiscovery and analytics platforms (e.g., Relativity, Nuix, Reveal) to review, validate, and report on regulated data types such as PII and PHI.
  • Assist in identifying affected data sets across structured and unstructured data sources.
  • Troubleshoot basic workflow or platform issues and escalate complex technical questions to forensic or engineering teams as needed.
  • Additional Responsibilities for Senior-Level Hires (Project Manager)

  • Manage multiple concurrent matters across the data mining portfolio with increased autonomy.
  • Own end-to-end delivery for assigned matters, including issue resolution, prioritization, and escalation management.
  • Lead client kickoffs, ongoing updates, and final report delivery in coordination with legal and forensic stakeholders.
  • Apply judgment to scope questions, workflow decisions, and partner coordination based on experience with breach response and data mining operations.
  • Contribute to the refinement of workflows, templates, and best practices as the practice continues to scale.
  • Requirements : Qualifications

    Education & Experience

  • Bachelor’s degree or equivalent practical experience.
  • For a Coordinator-level hire :
  • 1–3 years of experience supporting incident response, data mining, eDiscovery, or technical / project coordination work.

  • For a Project Manager-level hire :
  • 4–6 years of experience managing multiple concurrent matters across incident response, data mining, or eDiscovery, with ownership of delivery.

  • Experience with an eDiscovery vendor, cyber-focused law firm, or managed services provider is a plus.
  • Technical Skills

  • Familiarity with eDiscovery or analytics platforms such as Relativity, Nuix, Reveal, or similar tools.
  • Understanding of regulated data types and privacy considerations (e.g., PII, PHI, HIPAA, GDPR, CCPA).
  • Comfort working with large, complex data sets across diverse file types and data sources.
  • Proficiency in Microsoft Excel for tracking, reporting, and data validation (pivot tables, lookups).
  • Professional Attributes

  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced, time-sensitive environment.
  • Clear, concise written and verbal communication skills, particularly in client-facing contexts.
  • Detail-oriented with a strong sense of accountability and follow-through.
  • Proactive, adaptable, and comfortable learning new tools, workflows, and processes.
  • Ability to remain calm and focused during high-pressure scenarios.
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    Data Mining CoordinatorProject Manager Incident Response • Beaverton, OR, US

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