Engineering Analytics and IP Development Manager

🕒 vor 18 Tagen

🔔 Pennsylvania – Remote

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⏰ Vollzeit

🟠 Senior

🔴 Experte

🖥 Softwareentwickler

👻 Geisterscore 13%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Mitsubishi Electric Power Products, Inc.

Mitsubishi Electric Power Products, Inc.

1001 - 5000 Mitarbeiter

Gegründet 1985

🏭 Fertigung

⚡ Energie

🚗 Transport

Manufacturing • Energy • Transport

Mitsubishi Electric Power Products, Inc. gestaltet die Infrastruktur der Zukunft mit einem Fokus auf elektrische Energie, elektronische Technologien und Smart-Grid-Software. Sie bieten eine breite Palette innovativer Produkte und Dienstleistungen, einschließlich Hochspannungsenergieübertragung, Mittelspannungsenergiedistribution, Leistungsschalter, Transformatoren und Lösungen für erneuerbare Energien. MEPPI ist bestrebt, nachhaltige Energieinitiativen zu unterstützen und bedient Märkte wie den Schienenverkehr und großformatige Videodisplays mit fortschrittlichen technologischen Lösungen.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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

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