Green Dot Corporation

Green Dot Corporation

Lead HR Generalist

US-OH Cincinnati Operations Office · Full-time

No sponsorship$97k-$146kDetected 7 days ago
LLMsRecruitingPerformance ManagementEmployee RelationsHRISEmployment LawLeadershipCommunicationProblem SolvingMentoringOSHA

About the role

  • We are seeking a Lead HR Generalist with deep expertise in employee relations, HR compliance, and call center operations.
  • The ideal candidate will have a proven track record supporting high-volume environments, strong experience in recruiting and talent acquisition, and a thorough understanding of HR policies, employment law, and OSHA requirements.
  • This role requires proficiency in HR analytics, Workday, and Microsoft Suite, as well as experience facilitating training, orientations, and learning programs.

Responsibilities

  • Provide strategic employee relations support to managers and staff, ensuring positive workplace culture and compliance with HR policies, procedures, and legal requirements.
  • Lead and document employee investigations, corrective actions, and performance management processes.
  • Partner with call center leadership to resolve issues, improve performance, and foster a positive work environment.
  • Collaborate with the Talent Acquisition team to attract, select, and onboard top talent for the Blue Ash call center and other business units.
  • Lead recruitment activities, including job postings, interviews, candidate evaluation, and onboarding processes.
  • Support the creation and implementation of development initiatives, leveraging generative AI tools where appropriate.
  • We're Here to Support You-Accommodations Upon Request
  • Our goal is to support every applicant in showcasing their talents and potential.

Requirements

  • Minimum 6 years of HR experience, with significant exposure to call center environments and employee relations.
  • Demonstrated experience in HR compliance, investigations, and regulatory requirements (including OSHA).
  • Experience with recruiting, talent acquisition, and onboarding.
  • Proficiency in Workday, Microsoft Suite, and HR analytics.
  • Strong knowledge of HR compliance, employment law, and workplace safety.
  • All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment, without the need for current or future sponsorship.

Nice to have

  • Bachelor's degree preferred.
  • Ability to work in the U.S. without sponsorship**
  • Green Dot is committed to providing an inclusive and accessible hiring experience for all candidates.
  • We will work with you to meet your needs in a way that respects your privacy and ensures equal opportunity.
  • Exposure to generative AI tools in HR is a plus.

Compensation

  • The targeted full-time base salary for this position is $97,100 to $145,500 per year.
  • The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate's geographical location.

Benefits

  • Advise on employment separations, retirements, and leaves of absence, ensuring compliance with company benefits plans and regulatory standards.
  • Maintain up-to-date knowledge of federal, state, and local employment laws, including OSHA requirements, Leave of Absence, and ensure workplace safety compliance.
  • Partner with Total Rewards, employees and managers on Leave of Absence (LOA) cases.
  • Facilitate training sessions, orientations, and ongoing learning programs to enhance employee skills and compliance awareness.

Equal opportunity

  • If you require a reasonable accommodation during any part of the application or interview process, we encourage you to let us know.

Visa & Work Authorization

  • However, we are currently unable to offer visa sponsorship.
  • All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment, without the need for current or future sponsorship.

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