Davita Inc.
Legal Data Intelligence Education Senior Specialist
Davita Inc., Albuquerque, New Mexico, United States, 87101
Posting Type
Remote/Hybrid
Job Overview
As a Legal Data Intelligence Education Senior Specialist, you will be responsible for understanding client usage and adoption for all Relativity products across the spectrum of Legal Data Intelligence and the EDRM. The Legal Data Intelligence Education Senior Specialist works under general direction of managers and Legal Data Intelligence Education Architects.
Job Description and Requirements Role Responsibilities Advise and teach customers Relativity workflow solutions across entire product line through proactive outreach initiatives, content creation, one to many presentations, and responding to escalated customer inquiries.
Develops and authors customer onboarding guides and workflows to ensure they are comfortable and successful using Relativity to accommodate their specific workflow needs.
Engage with customers to encourage and drive product adoption and satisfaction.
Serve as
customer
surrogate across Relativity internally to ensure that
end
user's perspective is voiced and considered during product development.
Assist
with administrative functions for the team.
Manage
team
interdepartmental projects.
Manage and
assist
with team & inter-departmental programs
Provide thought leadership to
company
and industry by speaking at industry events.
Qualifications Relativity Expert
Skilled Project Management ability
Skilled communication and presentation ability
At least seven years e-discovery industry experience
Strong problem-solving ability
Advanced knowledge of core Relativity Applications, Text Analytics, Assisted Review, Processing & general knowledge of Collection and Legal Hold
Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between
following values: $89,000 and $133,000
The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
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Job Description and Requirements Role Responsibilities Advise and teach customers Relativity workflow solutions across entire product line through proactive outreach initiatives, content creation, one to many presentations, and responding to escalated customer inquiries.
Develops and authors customer onboarding guides and workflows to ensure they are comfortable and successful using Relativity to accommodate their specific workflow needs.
Engage with customers to encourage and drive product adoption and satisfaction.
Serve as
customer
surrogate across Relativity internally to ensure that
end
user's perspective is voiced and considered during product development.
Assist
with administrative functions for the team.
Manage
team
interdepartmental projects.
Manage and
assist
with team & inter-departmental programs
Provide thought leadership to
company
and industry by speaking at industry events.
Qualifications Relativity Expert
Skilled Project Management ability
Skilled communication and presentation ability
At least seven years e-discovery industry experience
Strong problem-solving ability
Advanced knowledge of core Relativity Applications, Text Analytics, Assisted Review, Processing & general knowledge of Collection and Legal Hold
Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between
following values: $89,000 and $133,000
The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
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