Engineering Analytics and IP Development Manager

🕒 September 18

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🖥 Software Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mitsubishi Electric Power Products, Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1985

🏭 Manufacturing

⚡ Energy

🚗 Transport

Manufacturing • Energy • Transport

Mitsubishi Electric Power Products, Inc. is engineering the infrastructure of the future with a focus on electric power, electronic technologies, and smart grid software. They provide a wide range of innovative products and services including high voltage power transmission, medium voltage power distribution, circuit breakers, transformers, and renewable energy solutions. MEPPI is dedicated to supporting sustainable energy initiatives, serving markets such as rail transportation and large-scale video displays with advanced technological solutions.

📋 Description

• 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

• 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

• 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