The role supports breach response operations, including dataset analysis, coordination, notification deliverables, and collaboration with team members in a remote setting.
Project Associate, Cyber Breach
Location: Remote
Start date: Negotiable
This role supports breach response operations involving compromised datasets, identification of impacted individuals, and preparation of notification deliverables. The position is remote and includes participation in an on-call rotation.
The qualified candidate should have administrative experience with Relativity (other eDiscovery platforms are also helpful). We take a consultative approach in working with our clients and managing cases and an understanding of the Incident Response lifecycle is important for all members of the team.
This position includes working with a variety of internal & external team members including Operation/Technical team members, Project Managers, Business Development team, attorneys, company or government representatives, and other legal staff.
Duties of the position
Perform contact discovery and breach analysis in on-call and standard work settings
Coordinate the intake, processing, and analysis of datasets for hosting
Extract, classify, and validate sensitive data, including PII and PHI
Build notification lists and support regulatory and client-facing reporting
Conduct and maintain consistent quality control and documentation across all deliverables, including analysis and remediation files
Collaborate with project managers and technical teams to meet deadlines
Assist with procedure development and continuous process improvement
Adhere to standard operating procedures and chain of custody requirements
Provide ongoing consultation to case teams for incident response related document review, data mining workflows
Proactively communicate ongoing project status and guidance to clients, partners, and internal teams
Participate in an on-call rotation as needed, including nights and weekends
Complete additional duties assigned by management as needed
Experience and Qualifications
Undergraduate degree or equivalent practical experience in a relevant field
3+ years' experience handling data operations or reviews in legal technology, cyber, or eDiscovery
Comfort working with structured and unstructured data
Ability to communicate effectively & tactfully both verbally and in written format to all relevant technical & non- technical stakeholders including attorneys, client support staff, and internal team members
Knowledge with breach response concepts, PII and PHI handling, and eDiscovery workflows including evolution of product offerings and changing dynamics/expectations
Proficiency with Windows operating systems and the Office product suite
Ability to demonstrate superior organizational skills with an acute attention to detail
Ability to work effectively under pressure in time-sensitive situations and prioritize multiple projects with similar deadlines, with occasional extended hours
The following skills are preferred but not required
Understanding of the electronic discovery reference model (EDRM)
Relativity experience or similar review platforms
Experience with OCR, data validation, and dataset normalization
Relativity Certified Administrator certification
Familiarity with scripting, data manipulation, or reporting tools
Similar Jobs
.png)
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Define and govern enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, and AI use cases. Establish standards for data quality, lineage, access, cataloging, governance, observability, and SLAs. Architect AI-enabled workflows, resolve complex architecture issues, influence roadmaps, and mentor engineers through hands-on technical leadership. The role requires 15+ years of software, data engineering, or architecture experience and expertise in large-scale data platforms and modeling.
Top Skills:
AIBatch ProcessingBigQueryData CatalogsData WarehousesDbtFeature StoresGCPLakehousesOlapOltpStreaming ArchitecturesVector Stores
eCommerce • Retail
Own long-term workforce planning and capacity strategy across Customer Success channels. Develop forecasts, staffing models, scenario analyses, dashboards, and labor investment recommendations. Analyze staffing, productivity, occupancy, shrinkage, service levels, and automation impacts. Partner with Customer Success, AI, Data, Finance, Talent Acquisition, BPO providers, and senior leadership to guide hiring, budgeting, headcount planning, and operational improvements through data-driven insights.
Top Skills:
AspectAssembledCalabrioFin AiGenesys WfmGoogle SheetsIntercomLookerExcelNice IexPostgresPower BIPower QuerySigmaSQLTableauVerint
Gaming
Develop server-side poker game features and gameplay functionality in Go for high-performance, large-scale applications. Build and integrate REST and gRPC APIs, SDKs, tools, and technologies; extend core systems; contribute to architecture, security, scalability, testing, and operations. Collaborate with engineers and cross-functional stakeholders, participate in long-term initiatives, review code, improve processes, and deliver solutions for live mobile game titles.
Top Skills:
AWSBugsnagC#DatadogDockerElkGitGoGrpcHTMLJenkinsKafkaMySQLPostgresProtobufRedisRestSplunkUnity
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
