Sr. Engineer, Industrial AI and Analytics

Sr. Engineer, Industrial AI and Analytics

Panasonic Energy is seeking a Sr. Engineer, Industrial AI and Analytics reporting to the Sr. Director, Next Gen Initiatives. This role operates within the Next Gen Initiatives (NGI) team, a strategic function responsible for advancing automation, AI enablement, and operational transformation across PECNA. This role focuses on the digital and systems execution layer of manufacturing: deploying analytics, industrial AI, data products, and decision-support tools that improve how manufacturing teams see, decide, and act.

The engineer will drive deployment of factory intelligence platforms, operational dashboards, AI/ML solutions, digital twin/simulation concepts, command-center capabilities, and AI-enabled decision support. This role converts Next Gen concepts into production-ready digital capabilities that improve safety, quality, productivity, throughput, and cost performance. The ideal candidate blends future-forward curiosity with a hands-on approach to problem-solving. You will translate complex manufacturing challenges into structured initiatives, driving cross-functional execution from early discovery and ideation through proof-of-concept and full deployment, ensuring measurable performance improvements and sustained adoption across the shop floor.

Essential Duties:

• Strategy & Execution:
  Partner with site leadership and manufacturing stakeholders to define and prioritize analytics, digital AI, and production systems initiatives aligned to NGI pillars and identify opportunities to improve performance, cost, and workforce capability.
• Translate operational challenges into clear initiative charters and drive end-to-end delivery across digital systems (analytics/AI).
• Own use cases from discovery through proof of concept to scaled deployment, ensuring solutions are operationally relevant, explainable, and embedded into frontline workflows.
• Manage initiative timelines, risks, and dependencies; drive issue resolution with cross-functional stakeholders.
• Next Gen Technologies:
  Evaluate, pilot, deploy emerging analytics and digital AI technologies across production sites, including industrial data platforms, AI/ML solutions, digital twins, command centers, and agentic/GenAI tools.
• Identify and evaluate high-impact opportunities in areas such as predictive maintenance, quality prediction, SPC automation, process optimization, yield improvement, and decision support.
• Identify and prioritize analytics and digital AI opportunities that deliver measurable improvements in productivity, throughput, quality, and cost performance.
• Partner with Operations, Process Engineering, Quality, Maintenance, IT/OT, SCADA/MES, and data teams to convert manufacturing data into reliable, governed data products, dashboards, and decision-support tools.
• Develop evaluation frameworks to assess readiness, data quality, usability, security, reliability, scalability, and ROI before scaled deployment.
• Stakeholder & Vendor Coordination:
  Bridge the gap between Operations, Engineering, Safety, Maintenance, DataX, Quality, Finance, HR, and Supply Chain to ensure digital deployments are secure, scalable, adopted, and sustainable.
• Drive deployment of Nevada tools to Kansas.
• Manage relationships with data/AI platform partners, systems integrators, and analytics vendors, including requirements, delivery milestones, validation, and performance accountability.
• Define and track KPIs such as data quality, adoption, uptime/availability, throughput, yield/quality, cost performance, workflow efficiency, and ROI.
• Document standards, data definitions, workflows, and best practices to enable repeatable digital deployment across NV and KS sites.
• Support training and change management for sustainable ownership by relevant teams.

Qualifications Requirements:

Required Education, Certifications, and Licenses:
Bachelor's degree in Engineering, Data Science, Industrial Engineering, Computer Science, Information Systems, or related field

Preferred Education, Certifications, and Licenses:
Master's degree in a related field PMP, Palantir Foundry certification, or equivalent continuous improvement / digital platform certification

Essential

Qualifications:

7+ years of experience in manufacturing analytics, industrial data systems, production systems, digital transformation, applied AI/ML, or systems integration within a high-volume manufacturing environment. Proven cross-functional delivery from concept to adoption. Knowledge of factory systems (MES, SCADA, PLCs, ERP, CMMS, SPC) and how they interconnect to support analytics and decision-making. Experience building or managing delivery of operational dashboards, data pipelines, data products, analytics applications, or AI-enabled tools.

Strong communication, structured problem-solving, and stakeholder management skills. Strong project execution skills with ability to manage scope, timeline, risks, dependencies, adoption, and cross-functional stakeholders. Strong communication skills, comfortable working…