Skadden

Skadden

Research & Knowledge Supervisor

New York

Sponsorship not specified$140k-$155kDetected 21 days ago
LLMsExcelEmployee RelationsEmployment LawCustomer SupportResearchLeadershipCommunicationCollaborationMentoringMicrosoft Office

About the role

  • We are seeking a Research & Knowledge Supervisor to join our Firm.
  • This position will be based in our New York office (hybrid).
  • The Research & Knowledge Supervisor role is responsible for supervising New York and Wilmington (WIL) Research & Knowledge Services (R&KS) analysts across all shifts.

Responsibilities

  • This individual will collaborate with the Senior R&KS Manager on evaluations, interviewing, onboarding, and other administrative responsibilities.

Requirements

  • Demonstrated knowledge of professional library science principles and practices, law firm operations and procedures and experience with standard secondary research sources
  • Current knowledge of industry best practices, trends and techniques
  • Knowledge of relevant Firm computer software programs (e.g., Outlook, Excel, PowerPoint), with the ability to learn new software and operating systems
  • Ability to effectively supervise others
  • Ability to administer Firm policies and procedures
  • Ability to handle multiple projects and shifting priorities
  • Expert knowledge of Lexis, Westlaw, Bloomberg Law, Docket Navigator, Pacer, DNBi, RBsource, Deal Point Data, PitchBook, Refinitiv, Workspace, Capital IQ, Courthouse News Service, Accurint, HeinOnline and other comparable legal and business research databases
  • Highly proficient in Research & Knowledge Services specific applications, including workflow systems and has demonstrated experience reflecting innovative use of Research & Knowledge Services automated systems and technology
  • Understands and is expertly proficient in performing research on the Internet
  • Understands and efficiently uses common social networking and online collaboration tools where appropriate
  • Demonstrates effective interpersonal and communication skills, both verbally and in writing
  • Demonstrates close attention to detail
  • Excellent analytical, troubleshooting, organizational, and planning skills
  • Ability to handle sensitive matters and maintain confidentiality

Skills

  • Uses workflow software and Generative AI tools to generate statistical analyses of workload to identify issues and trends.
  • Perfects research skills using online and print sources, incorporating new technology.

Compensation

  • The starting base salary for this position is expected to be within the range listed under Salary Details.
  • Actual salary will be determined based on skills, experience (to the extent relevant) and other-job related factors, consistent with applicable law.
  • Salary Details

Benefits

  • We offer generous benefits to help you achieve wellness in all areas of your life.
  • Comprehensive health care (medical, dental, vision), savings plan/401(k) and voluntary benefits.
  • Generous paid time off.
  • Paid leave options, including parental.
  • For further details, please visit: https://www.skadden.com/careers/staff/employee-benefits
  • In accordance with the Transparency in Coverage Rule,
  • In-classroom, remote, and on-demand learning and professional development opportunities.

Company info

  • Skadden, Arps, Slate, Meagher & Flom LLP has forged a reputation as one of the most prestigious law firms in the world. Relying on innovation, intellect, teamwork and tenacity, our lawyers deliver the highest quality advice and novel solutions to our clients' legal issues. We are known for handling the most complex transactions, litigation/controversy issues, and regulatory matters, as well as for the strong partnerships we build with clients and each other. Our attorneys, who reflect a broad range of experiences and perspectives, work together seamlessly across 50-plus practices and 21 offices in the world's major financial centers.
  • The Opportunity
  • We are seeking a Research & Knowledge Supervisor to join our Firm. This position will be based in our New York office (hybrid). The Research & Knowledge Supervisor role is responsible for supervising New York and Wilmington (WIL) Research & Knowledge Services (R&KS) analysts across all shifts. This individual will collaborate with the Senior R&KS Manager on evaluations, interviewing, onboarding, and other administrative responsibilities. The supervisor will be responsible for researching and providing legal, business and reference information to attorneys in all practice areas of the Firm using online and print resources.
  • Develops information network within and outside the Firm.
  • Monitors requests on Firm issued device while out of office and during off hours and coordinates with business services professionals in all offices to complete pending requests.
  • Communicates departmental guidelines and procedures.
  • Delegates work to NY and WIL Research Analysts when appropriate.
  • Uses workflow software for distribution and recording of research and KM requests.
  • Actively monitors research requests for all offices and provides guidance to research business services professionals proactively when warranted.
  • Mentors and trains NY and WIL Research Analysts.
  • Provides Senior R&KS Manager with detailed assessments of work performance in preparation of annual performance evaluations.
  • Recommends and participates in disciplinary procedures in collaboration with the appropriate office R&KS manager and Human Resources.
  • Effectively addresses and resolves work-related problems and/or conflicts that arise among the NY and WIL Research Analysts.

Equal opportunity

  • Equal Opportunity Employer.
  • Applicants who require an accommodation during the

Visa & Work Authorization

  • le factor including, but not limited to, race, color, religion, creed, sex, national origin, ancestry, age, alienage or citizenship status, marital or familial status, domestic partnership status, caregiver status, sexua

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