Sr. Engineer, Industrial AI and Analytics

Panasonic•Sparks, NV

26d•Onsite

About The Position

Panasonic Energy is seeking a Sr. Engineer, Industrial AI and Analytics to join the Next Gen Initiatives (NGI) team. This strategic function is responsible for advancing automation, AI enablement, and operational transformation across PECNA. The role focuses on deploying analytics, industrial AI, data products, and decision-support tools to enhance manufacturing operations. The engineer will drive the deployment of factory intelligence platforms, operational dashboards, AI/ML solutions, digital twin/simulation concepts, command-center capabilities, and AI-enabled decision support. This position converts Next Gen concepts into production-ready digital capabilities aimed at improving safety, quality, productivity, throughput, and cost performance. The ideal candidate possesses both future-forward curiosity and a hands-on problem-solving approach, translating complex manufacturing challenges into structured initiatives and driving cross-functional execution from discovery through full deployment to ensure measurable performance improvements and sustained adoption.

Requirements

Bachelor’s degree in Engineering, Data Science, Industrial Engineering, Computer Science, Information Systems, or related field
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 on the shop floor with operations and presenting progress to leadership.
Up to 25% travel required
Sit: 50%
Walk: 30%
Stand: 20%
Up to 10 lbs.: Occasional
Up to 20 lbs.: Rare
Up to 35 lbs.: Rare
Team-lift only (over 35 lbs.): Rare

Nice To Haves

Master’s degree in a related field
PMP, Palantir Foundry certification, or equivalent continuous improvement / digital platform certification
Experience in battery, semiconductor, automotive, pharmaceutical, or high-speed consumer goods manufacturing
Experience with one or more programming, scripting, or data development languages such as Python, SQL, JavaScript, C#, Java, R, or similar tools used for analytics, automation, application development, or systems integration.
Experience with industrial analytics platforms, Palantir Foundry or similar tools, operational dashboards, digital twins, predictive maintenance, quality analytics, or command-center capabilities
Hands-on experience using modern large language models and GenAI tools such as Claude, Gemini, ChatGPT, Microsoft Copilot, or similar platforms to improve productivity, automate workflows, support data analysis, or develop AI-enabled business and manufacturing solutions.
Familiarity with industrial data architecture, Industrial Data Fabric, Unified Namespace, OT cybersecurity, OPC-UA/DA, MQTT, Modbus, or related data integration concepts
Experience with Lean, Six Sigma, TPM, analytics adoption, data governance, or continuous improvement methodologies
Experience working with Japanese manufacturing partners or in cross-cultural engineering environments

Responsibilities

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.
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.
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.

Benefits

Medical, dental, vision, prescription plans
Health Savings Account and Flexible Spending Account options
Life, accident, critical illness, disability, legal, identity theft, and pet insurance
401(k) plan with company matching contributions and immediate vesting
Vacation, holidays, personal days, sick leave, volunteer, and parental & caregiver leave
Tuition reimbursement for job-related courses after six months of service
Lifestyle Spending Account, EAP, virtual health management, chronic condition, neurodiversity, tobacco cessation, substance abuse support, and life stage and fertility resources
High5 employee recognition and awards platform, quarterly and annual employee recognition
Opportunity for an annual performance-based bonus
Several on-site cafes, plentiful snack and beverage kitchens, revolving on-site vendor visits and employee events
Free Shuttle: Rides to and from work!