Overview As an engineering consultant, you help top organizations accelerate value through product development and engineering transformation. You will apply analytics, operating-model design, and value-focused methodologies to optimize R&D, product cost, and lifecycle processes. You'll work across industries to enable digital threads, automation, and AI-enabled solutions, shaping how clients innovate and scale. This role combines hands-on problem solving with client-facing strategy, delivering measurable outcomes at speed.
Compensation / Benefits- medical, dental, vision, life, and long-term disability insurance
- 401(k) plan with match
- bonus opportunities
- paid holidays
- paid time off
Responsibilities- Lead engineering transformation initiatives to optimize organization structure, product development, and lifecycle management
- Drive value-based cost management through value analysis, value engineering, and should-cost assessments
- Shape product strategies including Product as a Service, platform ecosystems, and sustainable products
- Manage innovation and product portfolio optimization balancing customer voice and cost to serve
- Digitize engineering functions using Digital Thread/Twin, RPA, ML/AI, Blockchain, and related technologies
- Scope and solve engineering problems using advanced analytics for ROI, product cost, and business models
- Lead small to mid-size teams (2-5) and coach diverse collaborators
- Support client sales origination and contribute to thought leadership
- Challenge legacy processes with constructive approaches to foster client growth
Key requirements- Minimum 3 years of experience in engineering improvement initiatives
- 1 year of experience in internal or external consulting at a comparable level
- 1 year of experience with new technologies (Digital Thread/Twin, RPA, ML/AI, Blockchain)
- Bachelor's Degree or equivalent work experience (12 years); associate degree requires 6+ years
- Comfort with travel up to 75%
- Collaborative mindset and team player
- Proven problem-solving and analytical abilities
- Ability to coach and develop others
- Digital Thread/Twin
- Robotic Process Automation (RPA)
- Machine Learning / Artificial Intelligence
