Engineering Analytics and IP Development Manager

This is a fully remote position, open to applicants in Pennsylvania.

📋 Description

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

• Lead and oversee the division's portfolio of engineering analytics and automation tools.

• Propel continuous improvement and innovation throughout engineering systems and capabilities.

• Establish and implement centralized governance for tools, scripts, datasets, and AI/ML models.

• Ensure lifecycle management, documentation, version control, and cyber-secure development practices are upheld.

• Monitor compliance with governance, conduct audits, and escalate any instances of noncompliance.

• Manage the technical IP lifecycle from conception to protection readiness.

• Collaborate with engineering, IT, and Legal to ensure the technical soundness, completeness, and defensibility of IP.

• Assess IP and tool productization opportunities and assist in customer-discovery activities.

• Build, develop, and mentor a specialized technical team dedicated to data science, analytics, automation, and AI/ML.

• Manage performance, employee development, recruitment, training, and cross-training initiatives.

• Analyze engineering workflows and conduct process mapping to identify opportunities for automation, data, analytics, and AI/ML.

• Advocate for solutions that enhance efficiency, quality, and engineering decision-making.

• Prepare executive-level reports on IP status, technical risks, emerging technologies, and development progress.

• Define and monitor 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 a related field.

• At least 7 years of experience in engineering analytics, software/tool development, or data/AI/ML initiatives.

• A minimum of 3 years in a management role or technical leadership position, or equivalent education and experience.

• Proven experience in automation, scripting, analytics, or engineering tool development.

• Experience in defining or guiding technical architecture, development standards, and governance frameworks.

• Familiarity with AI/ML concepts, data engineering workflows, and analytics methodologies utilized in engineering settings.

• Strong leadership, communication, and collaboration skills across functional teams.

🏝️ Benefits

• 90% company-paid medical, dental, and vision benefits.

• 401(k) with company match up to 4%.

• Vacation accrual begins after 90 days.

• 12 paid holidays.

• Comprehensive training programs.

• Opportunities for professional development.

• Educational assistance programs.

• Profit sharing.

• Access to a fitness center.

• Wellness programs.