Engineering Analytics and IP Development Manager at Mitsubishi Electric Power Products, Inc. in Warrendale, PA

Job description

• Engineering Analytics and IP Development Manager – Power Systems Engineering Division
• Are you a strategic, technically minded leader who thrives at the intersection of engineering, data, and innovation? Mitsubishi Electric Power Products, Inc. (MEPPI) is seeking an Engineering Analytics and IP Development Manager to guide the development, architecture, and lifecycle of engineering analytics, automation tools, and intellectual property (IP) that strengthen our engineering capabilities and advance our technical competitiveness.
• In this role, you will build a specialized team, establish governance frameworks, and drive high-impact initiatives that improve efficiency, enhance engineering workflows, and position the organization for future success.
• At MEPPI, you’ll shape the future of engineering innovation by building tools, technologies, and intellectual property that empower teams across our organization. As a U.S. affiliate of Mitsubishi Electric, we combine global expertise with local execution—creating an environment where your technical leadership and vision make a meaningful impact.

Responsibilities

• Technical Leadership & Strategy
• Define the technical architecture and long-term roadmap for analytics, automation tools, data workflows, and AI/ML development.
• Lead and manage the division’s portfolio of engineering analytics and automation tools to support organizational goals.
• Drive continuous improvement and innovation across engineering systems and capabilities.
• Governance & Lifecycle Management
• Establish and enforce centralized governance for tools, scripts, datasets, and AI/ML models, ensuring strong lifecycle management, documentation, version control, and cyber-secure development practices.
• Monitor adherence to governance standards, performing audits and escalating noncompliance as needed.
• Intellectual Property Development
• Own the technical IP lifecycle from concept through protection readiness.
• Coordinate with engineering, IT, and Legal to ensure technical soundness, completeness, and defensibility.
• Prioritize and evaluate IP and tool productization opportunities, providing recommendations and supporting customer-discovery activities.
• Team Leadership
• Build, develop, and mentor a specialized technical team focused on data science, analytics, automation, and AI/ML.
• Manage performance, support employee development, and contribute to hiring, training, and cross-training.
• Analytics, Automation & Workflow Optimization
• Analyze engineering workflows and perform process mapping to identify opportunities for automation, data enhancement, analytics, and AI/ML deployment.
• Champion solutions that increase efficiency, quality, and engineering decision-making capability.
• Reporting & Stakeholder Engagement
• Prepare and deliver executive-level reports on IP status, technical risks, emerging technologies, and development progress.
• Define and track KPIs related to tool adoption, portfolio impact, efficiency, quality, commercial readiness, and IP progression.
• Maintain strong partnerships with internal teams, customers, and vendors to support division goals and uphold MEPPI’s professional image.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Electrical Engineering, or related field.
• Minimum 7 years of experience in engineering analytics, software/tool development, or data/AI/ML initiatives.
• Minimum 3 years of management or technical leadership experience, or equivalent education and experience.
• Demonstrated experience with automation, scripting, analytics, or engineering tool development.
• Experience defining or guiding technical architecture, development standards, and governance frameworks.
• Familiarity with AI/ML concepts, data engineering workflows, and analytics methodologies used in engineering environments.
• Strong leadership, communication, and cross-functional collaboration skills.

Skills

Required

• Technical architecture
• Development standards
• Governance frameworks
• Automation
• Scripting
• Analytics
• Engineering tool development
• AI/ML concepts
• Data engineering workflows
• Analytics methodologies
• Leadership
• Communication

Benefits

• Comprehensive Health Coverage: 90% company-paid medical, dental, and vision benefits.
• Retirement Plans: 401(k) with company match up to 4%.
• Generous Paid Time Off: Vacation accrual after 90 days + 12 paid holidays.
• Career Development: Robust training programs, professional development, and educational assistance.
• Employee Perks: Profit sharing, fitness center access, and wellness programs.