- Phoenix, Arizona, United States
- Hybrid
- Full-time · Senior
- $101K–$141K per year
- 3–5 years
Drive and institutionalize data-informed decision making and shape performance optimization at scale while coaching leaders and teams to support high-impact business optimization initiatives.
Compensation
The estimated annual pay range for this role is currently $101,000-$141,000.
Responsibilities
- Under limited supervision, drive and institutionalize data-informed decision making and shape performance optimization at scale
- Coach leaders, teams, and customers to independently run effective problem-solving, engineering analysis, and improvement routines
- Apply advanced tools and engineering methods to influence decisions, enable action, and sustain improvements
- Shape systems that enable scalable innovation beyond individual solutions
- Proactively shape decisions, address concerns, and coach leaders and teams to apply structured thinking, engineering analysis, and storytelling to drive sustained action
Requirements
- Bachelor’s degree in an appropriate Engineering discipline
- Master’s degree in an appropriate Engineering discipline
- Nice to have: probability
- Nice to have: statistical analysis
- Nice to have: reliability engineering