Engineering Analytics and IP Development Manager

Mitsubishi Electric Power Products, Inc. is seeking an Engineering Analytics and IP Development Manager to lead engineering analytics, automation, AI/ML, and intellectual property initiatives. The role will establish technical architecture and governance, build and mentor a specialized team, optimize engineering workflows, and report on portfolio impact and IP development.

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
• Manage performance, support employee development, and contribute to hiring, training, and cross-training
• 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

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