Engineering Analytics and IP Development Manager

Mitsubishi Electric Power Products, Inc.; Warrendale (Allegheny County); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Comprehensive Health Coverage

401(k) with company match

Generous paid time off

Career development programs

Profit sharing and wellness programs

Job summary

Mitsubishi Electric Power Products, Inc. seeks an Engineering Analytics and IP Development Manager within the Power Systems Engineering Division to guide analytics, automation tools, and IP development.

You will own architecture, lifecycle, and governance, leading a specialized team of data scientists and engineers to advance our technical capabilities. You will define roadmaps, manage tool portfolios, and drive improvements across engineering workflows.

Qualifications

• Bachelor’s degree in CS, Software Eng, Data Science, EE, or related field.
• Minimum 7 years in engineering analytics, software/tool development, or data/AI/ML initiatives.
• Minimum 3 years of management or technical leadership experience.
• Experience with automation, scripting, analytics, or engineering tool development.
• Experience defining 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.

Responsibilities

• 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.
• 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.
• 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.
• Build, develop, and mentor a specialized technical team focused on data science, analytics, automation, and AI/ML.
• 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.
• 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.

Skills

Leadership

Communication

Cross-functional collaboration

Automation scripting

Analytics development

AI/ML concepts

Education

Bachelor’s degree in Computer Science / Software Engineering / Data Science / Electrical Engineering

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.

What You’ll Do

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.

What You Bring

• 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.

Why MEPPI?

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.

Join Us

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.

Equal Opportunity Employer

MEPPI welcomes applicants from all backgrounds and is committed to fostering an inclusive workplace.