Secretariat

Secretariat

Manager, Human Factors

Dallas, Texas, United States

Sponsorship not specifiedDetected 27 days ago
StatisticsResearchExperimental DesignCommunicationProblem SolvingWriting

About the role

  • Chart Your Journey at Secretariat From a collaborative culture to teammates who will always be by your side, find a career that will grow with you.
  • ABOUT THE FIRM Secretariat professionals are trusted in the highest-stakes legal, risk, and regulatory matters around the world.

Responsibilities

  • Develop positive relationships with colleagues, peers and clients
  • Manage the day-to-day requirements of multiple engagements
  • Deliver your impact at Secretariat.

Requirements

  • And our track record of outstanding performance across all of our disciplines speaks for itself.

Nice to have

  • Master's or PhD degree in Experimental, Industrial or Cognitive Psychology, Industrial Engineering plus 5 years of experience as a Human Factors professional
  • Or related field along with +5 years experience as a Human Factors professional
  • Certified Human Factors Professional or Certified User Experience Professional desirable.
  • Experience with research and application of regulations and standards, analyzing scientific literature on human performance and safety, and applying these to various accident scenarios.
  • Participated in or conducted human factors research and testing.
  • Must have work experience in human-computer interaction, human factors and product design, occupational biomechanics, cognitive engineering and/or work physiology.
  • Strong expert report writing skills to complement analytics
  • Excellent analytical and problem-solving abilities

Skills

  • Secretariat professionals are trusted in the highest-stakes legal, risk, and regulatory matters around the world.
  • Our globally integrated teams are united by the ambition, energy, and commitment they bring to every challenge.
  • Make your impact at Secretariat.

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