Data Specialist (Thurs-Mon, 9am-6pm PT)

Syllo
•$120,000 - $140,000•Remote

About The Position

The Data Specialist owns the technical data operations underpinning cases on Syllo’s litigation platform, from collection and processing through production and quality control. The role works with Client Services pods and with Product and Engineering to maintain data integrity throughout each stage of the litigation data lifecycle. It requires hands-on EDRM experience, fluency with eDiscovery platforms, and sound judgment in identifying and addressing data issues.

Requirements

  • At least 3 years of experience in eDiscovery, litigation support, or a data-focused legal role.
  • Hands-on experience owning the EDRM lifecycle from collection through production on complex commercial cases.
  • Proficiency with at least one major eDiscovery platform.
  • Comfort working with metadata, large datasets, and technically complex data requests.
  • Ability to work in the Pacific time zone and work 9 a.m.–6 p.m. PT, Thursday through Monday.

Nice To Haves

  • Relativity RCA or equivalent.
  • Experience with ticketing systems such as Jira or Linear.
  • Experience collaborating with engineering or product teams.
  • High aptitude for learning new software tools and enthusiasm for AI-powered products.

Responsibilities

  • Manage ingestion, processing, and production workflows across active cases, and validate outputs before they reach clients.
  • Apply systematic quality-control standards to data outputs, document findings, and resolve issues before they reach clients or Client Services pods.
  • Diagnose and resolve collection anomalies, processing failures, metadata errors, and production format disputes.
  • Advise clients on data workflows, processing specifications, and review protocols to support efficiency and defensibility.
  • Receive data handoffs from Client Services pods, document chain of custody, capture requirements before work begins, manage intake through a dedicated queue, and communicate capacity and timelines.
  • Surface recurring data-layer issues, document edge cases, and contribute to platform improvements through product testing and timely feedback to Engineering and Product.
  • Create and maintain processing guides, QC checklists, and workflow standards.

Benefits

  • Competitive base salary and equity options.
  • Medical, dental, vision, and voluntary insurance options.
  • Vacation, sick leave, and paid holidays.
  • Access to benefit counselors.
  • Fitness class reimbursements.
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