Joan Marshall - PI Midlantic

Joan Marshall

Talent Optimization Advisor


Joan brings 25+ years of diverse experience in executive Human Resource functions to her role as a Certified Talent Optimization Advisor with PI Midlantic. Prior to joining the Predictive Index family in 2002, she worked as a Human Resources leader for companies such as Towers Perrin (now Willis Towers Watson), Grant Thornton, eCal Corporation, American Business Financial Services and the American Red Cross.  With more than 19 years of experience supporting her clients, she enjoys combining her HR leadership experience with the power of PI’s Talent Optimization tools to help her clients achieve their goals, create fully engaged teams, and build strong corporate cultures.

Joan enjoys coaching leaders and emerging leaders, utilizing her training and certification in Core Energy Coaching (iPEC) and Emotional Intelligence Coaching (EQi 2.0).  In addition, she has created and delivered powerful leadership skills training programs to non-profit and for-profit organizations, guided organizations in creating core values and strategic plans, as well as organizational restructures.

Her specialty during her years in HR was in designing and building human resource functions from the ground up for emerging and growth-oriented companies.  As a true HR generalist and leader, her experience encompasses many functions including recruitment and retention, employee relations, policy and procedure development, training and development, compensation and benefits plan design, administration, payroll, and mergers and acquisitions.

Joan holds a Bachelor’s Degree in Business Administration and Human Resource Management from Temple University as well as SPHR accreditation, EQi 2.0 certification, and CPC, ELI-MP, and ACC (ACF) Coaching certifications.

Joan lives in Southampton, NJ surrounded by two standard poodles and rescue cats.  Her son and daughter-in-law live nearby. She is an avid reader and life-long student who is always looking for the next thing to learn and share.