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Mitsubishi Electric Power Products, Inc.

Engineering Analytics and IP Development Manager

Mitsubishi Electric Power Products, Inc.

. Define the technical architecture and long-term roadmap for analytics, automation tools, data workflows, and AI/ML development .

Posted 9/18/2026full-timeRemote • Pennsylvania • United StatesSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in defining technical architecture and managing engineering analytics and automation tools, with a strong focus on AI/ML development and governance. Proven ability to lead teams, drive innovation, and ensure compliance in technical processes.

Highest-signal resume keywords
Technical Architecture DefinitionAI/ML DevelopmentEngineering Analytics ManagementGovernance FrameworksTeam Leadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AutomationScriptingData EngineeringAnalytics MethodologiesTool DevelopmentLifecycle ManagementVersion ControlCyber-Secure Development PracticesProcess MappingKPI Tracking
Soft Skills
LeadershipCommunicationCross-Functional Collaboration
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in Software EngineeringBachelor’s Degree in Data ScienceBachelor’s Degree in Electrical Engineering
Industry Keywords
Engineering AnalyticsAI/ML ConceptsData WorkflowsTechnical IP LifecycleGovernance AdherenceContinuous ImprovementInnovationCustomer-Discovery Activities

About the role

Key responsibilities & impact
  • 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
  • Drive continuous improvement and innovation across engineering systems and capabilities
  • Establish and enforce centralized governance for tools, scripts, datasets, and AI/ML models
  • Ensure lifecycle management, documentation, version control, and cyber-secure development practices
  • Monitor governance adherence, perform audits, and escalate noncompliance
  • Own the technical IP lifecycle from concept through protection readiness
  • Coordinate with engineering, IT, and Legal on IP technical soundness, completeness, and defensibility
  • Evaluate IP and tool productization opportunities and support customer-discovery activities
  • Build, develop, and mentor a specialized technical team focused on data science, analytics, automation, and AI/ML
  • Manage performance, employee development, hiring, training, and cross-training
  • Analyze engineering workflows and perform process mapping to identify automation, data, analytics, and AI/ML opportunities
  • Champion solutions that improve efficiency, quality, and engineering decision-making
  • Prepare executive-level reports on IP status, technical risks, emerging technologies, and development progress
  • Define and track KPIs for tool adoption, portfolio impact, efficiency, quality, commercial readiness, and IP progression
  • Maintain partnerships with internal teams, customers, and vendors

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 90% company-paid medical, dental, and vision benefits
  • 401(k) with company match up to 4%
  • Vacation accrual after 90 days
  • 12 paid holidays
  • Robust training programs
  • Professional development
  • Educational assistance
  • Profit sharing
  • Fitness center access
  • Wellness programs