tlatechinc

Data Specialist

New York

Sponsorship not specified$120k-$140kDetected 1 day ago

Data StructuresJiraCustomer SuccessCommunication

About the role

This role is responsible for the technical data operations that underpin every case on Syllo's platform, from collection and processing through production and quality control.
You will work directly with Client Services pods and internally with Product and Engineering to ensure data integrity at every stage.
We are looking for someone with hands-on EDRM lifecycle experience, deep platform fluency, and the judgment to know when a data issue is a technical quirk versus a signal something is wrong.

Own data operations: Manage ingestion, processing, and production workflows across active cases. Validate every output before it reaches the client.
Own quality control: Apply systematic QC standards across all data outputs, documenting findings and resolving issues before they reach the client or the pod.
Serve as the pod liaison: Receive data handoffs from Client Services pods, document chain of custody, and ensure all requirements are captured before work begins. Manage intake through a dedicated queue and communicate proactively about capacity and timelines.
Partner with Engineering and Product: Surface recurring data-layer issues, document edge cases, and contribute to platform improvement through product testing and timely feedback.
Build documentation: Create and maintain processing guides, QC checklists, and workflow standards that hold up as the client base grows.
Own data operations: Manage ingestion, processing, and production workflows across active cases.
Validate every output before it reaches the client.
Our technology supports Fortune 500 companies and AmLaw 200 firms managing their most complex litigation portfolios.

EDRM depth: You have owned the full lifecycle, from collection through production, on complex commercial cases with high data volumes.
Platform fluency: Hands-on experience with Relativity, Everlaw, Nuix, or comparable platforms.
You can troubleshoot, not just operate.
Cross-functional communication: You can explain a data issue to an attorney and a technical root cause to an engineer.
Experience and qualifications
You have owned the full lifecycle, from collection through production, on complex commercial cases with high data volumes.
Hands-on experience with Relativity, Everlaw, Nuix, or comparable platforms.
Quality discipline: Your QC process is systematic, documented, and does not depend on memory.
Platform fluency: Hands-on experience with Relativity, Everlaw, Nuix, or comparable platforms. You can troubleshoot, not just operate.
Metadata and data structure knowledge: You understand file formats, processing parameters, load file specs, and why metadata integrity matters.
3+ years in eDiscovery, litigation support, or a data-focused legal role.
High aptitude for learning new software tools and enthusiasm for AI-powered products.

Hands-on EDRM lifecycle experience from collection through production on complex commercial cases.
Proficiency with at least one major eDiscovery platform
Relativity RCA or equivalent preferred.
Comfort working with metadata, large datasets, and technically complex data requests.
Experience with ticketing systems such as Jira or Linear is a plus.
Experience collaborating with engineering or product teams is a plus.

Competitive base salary + equity options.
Annual learning and development budget and real career growth in a fast-scaling organization.
United States - Remote Pay Range
$120,000 - $140,000 USD

Medical, dental, vision, and voluntary insurance options.
Vacation, sick leave, and paid holidays.
Access to benefit counselors and fitness class reimbursements.
Growth: Annual learning and development budget and real career growth in a fast-scaling organization.

We are the first unified platform designed to autonomously manage the entire litigation lifecycle end-to-end.
Founded in 2019 by a team of litigators and engineers, Syllo enables legal teams to securely harness the power of AI across any matter, regardless of complexity or scale.

This listing is sourced directly from tlatechinc's careers page and normalized into a canonical job model.