Auto-Owners Insurance

Auto-Owners Insurance

Project Lead

Lansing, MI

Sponsorship not specifiedDetected 22 days ago
Project ManagementLeadershipCommunicationMentoring

About the role

  • Coordinate work for projects involving multiple team members
  • Help identify resources needed and work with leaders to assign individual tasks
  • Effectively apply project management methodologies and best practices

Responsibilities

  • are to manage the day-to-day operational and tactical aspects of company projects.

Requirements

  • All candidates must have the ability to work in one of our tech offices from time to time.
  • Bachelor's degree from four-year college or university

Skills

  • communicate effectively and possess good problem resolution skills

Compensation

  • We offer a friendly work environment, structured training program, employee mentoring and an excellent compensation/benefits package.

Benefits

  • We offer a friendly work environment, structured training program, employee mentoring and an excellent compensation/benefits package.

Company info

  • These requirements may be waived or changed at Company discretion based on prior education or experience.
  • Auto-Owners offers a wide range of career opportunities, and we are seeking talent that will help us continue our long tradition of success.

Equal opportunity

  • Auto-Owners Insurance is an equal opportunity employer.
  • The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.
  • Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.
  • #LI-DNI #IN-DNI

Visa & Work Authorization

  • Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.

This listing is sourced directly from Auto-Owners Insurance's careers page and normalized into a canonical job model.