Lead Engineer - Multi-Year Agreement Systems Engineering

Greenville, United States

Full Time

Posted November 9, 2026

$89k - $149k

Application opens on company website

Source: Workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed November 10, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Power Generation
Pay provenance: Employer-provided pay

Lead the MYA life extension pipeline from idea to launch, delivering significant annual backlog cost reduction for the MYA/Services business.

Apply mechanical design fundamentals, statistics, and failure-mode analysis to objectively evaluate risk vs. reward.
Innovate Processes: Leverage AI-driven tools and automation to optimize MYA data quality and streamline risk evaluation workflows.
Lead cross-functional reviews with the Chief Engineering Office, utilizing digital modeling tools to present clear, data-backed productivity cases.
Collaborate with engineering teams to manage creep programs and influence the transition toward "Systems-as-a-Service" digital maintenance models.
Foster a culture of continuous improvement, ensuring all technical documentation and risk assessments align with the digital-first standards of Engineer 2030.

Systems Engineering Leadership: Proven track record of leading cross-functional engineering programs from concept to implementation, involving stakeholders from distinct engineering disciplines (e.g., NPI, Reliability, Repair).
Digital Proficiency: Demonstrated experience executing projects utilizing data analytics, automation scripting (e.g., Python, SQL), or AI/ML-driven modeling to improve engineering workflow efficiency or risk evaluation.
Business Impact: Demonstrated ability to influence technical outcomes; must have presented data-backed technical business cases to leadership that resulted in documented process improvements or cost-reduction initiatives.
Professional Standards: Proven history of meeting aggressive project timelines while maintaining high quality standards.
Familiarity with lifecycle management and operation/maintenance of heavy-duty gas turbine equipment.
Experience applying Systems Engineering methodologies to large-scale, multidisciplinary projects.
Experience in applying digital tools (e.g., Python, advanced statistical software, or predictive maintenance platforms) to solve engineering challenges.
Excellent interpersonal and leadership skills, with a track record of mentoring others in new technologies.