Epiq is seeking a qualified and motivated leader to join our Cyber Incident Response business as Manager, Data Mining & Project Management. This role will ensure that clients receive world-class service from the start of each new project through the data mining process, while continuously improving Epiq’s capabilities to reduce data volumes prior to review. You will manage, lead, and mentor a team of professionals who operate at the technological forefront of this industry. If you want to grow personally & professionally along with our thriving business, we want to hear from you!

Responsibilities: 

·         Ensure clients receive world-class service during project initiation, data mining, and case closure 

·         Manage a team of project management & data mining professionals 

·         Serve as a point of escalation for client concerns or internal quality challenges 

·         Build & continuously improve Epiq’s data mining capabilities 

·         Personally manage client projects when required 

·         Provide mentorship and continuous personal development to team members 

·         Implement new software (including AI & machine learning tools) as defined by leadership 

·         Complete other special transformative projects as define by leadership 

·         Participate in ongoing professional development 

Job Requirements: 

·         Candidates must have at least 4+ years of experience in eDiscovery Client Services, eDiscovery Project Management, Technology Assisted Review, or Cyber Incident Response 

·         Candidates must have extensive experience in managing clients, and thrive on dealing with difficult deadlines or requests 

·         Candidates must be technically proficient with Relativity & eDiscovery concepts regarding data culling, including keyword searching & metadata analysis 

·         Candidates must have people management skills 

·         Candidates must be excellent communicators, and raise the bar for written and verbal communication both at Epiq and with customers 

·         Ideal candidates will have experience managing people & fostering professional development 

·         Ideal candidates will have experience with leading people & foster a positive team environment 

·         Ideal candidates will be industrious and prepared to take the initiative to support a growing business 

·         Ideal candidates will have experience with other industry specific tools, such as Canopy 

·         Ideal candidates will have experience with machine learning & AI-based culling tools as they relate to eDiscovery & Cyber Incident Response 

·         Ideal candidates will have a deep interest in investigating & applying new technology 

  #LI-TP1 #Remote

The Compensation range for this role is 130,000 to 150,000 USD annually and may be eligible for an annual bonus.