Engineering Analytics and IP Development Manager

🕒 3 dias atrás

🔔 Pennsylvania – Remoto

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⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🖥 Engenheiro de Software

👻 Score fantasma 13%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Mitsubishi Electric Power Products, Inc.

Mitsubishi Electric Power Products, Inc.

1001 - 5000 funcionários

Fundada em 1985

🏭 Manufatura

⚡ Energia

🚗 Transporte

Manufacturing • Energy • Transport

A Mitsubishi Electric Power Products, Inc. está projetando a infraestrutura do futuro com foco em energia elétrica, tecnologias eletrônicas e software de redes inteligentes. Eles oferecem uma ampla gama de produtos e serviços inovadores, incluindo transmissão de energia de alta tensão, distribuição de energia de média tensão, disjuntores, transformadores e soluções de energia renovável. A MEPPI dedica-se a apoiar iniciativas de energia sustentável, atendendo mercados como transporte ferroviário e displays de vídeo em grande escala com soluções tecnológicas avançadas.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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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