Hiring: Field Enablement & Operations Manager Company: Panasonic Avionics Corporation Location: Irvine, CA Job Posted Time: 2026-09-16 13:04:34 Employment Type: Contract Target Skills & Keywords : AWS, LLM, Python, SQL About the job Experience: •40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry. If you want to learn more about us, visit us at www.panasonic.aero. And for a full listing of open job opportunities go to https://careers.na.panasonic.com/avionics/jobs. •Over 40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry. If you want to learn more about us, visit us at www.panasonic.aero. And for a full listing of open job opportunities go to https://careers.na.panasonic.com/avionics/jobs. Required Skills: •Operational Reporting & Decision Support •Build trusted CSFE reports, dashboards, leadership reviews, customer-facing inputs, and decision-support views with source lineage, caveats, confidence levels, refresh expectations, and appropriate AI-enabled summarization, anomaly detection, and insight generation. •Lead complex field investigations by defining scope, affected populations, impact, evidence confidence, ownership, recommended actions, and analytical playbooks. Apply AI and machine-learning techniques where appropriate to detect patterns, support root-cause analysis, and prioritize field risks. •Capability Enablement, Training & Self-Service Adoption •Develop reusable frameworks, templates, prompts, guides, training, onboarding, office hours, and communities of practice that increase field self-sufficiency, support responsible AI adoption, and reduce reliance on a single specialist. •Operating Model, KPI & Performance Enablement •Standardize intake, prioritization, escalation, reviews, KPI definitions, scorecards, cadence, closure mechanisms, ownership clarity, and governance expectations for systemic field issues, operational-performance risks, and AI-enabled workflows. •Clarify decision rights, surface unowned risks, route significant findings to accountable Product, Engineering, Service, operational, or data and AI owners, and track disposition without duplicating ownership. Qualifications: •Advanced knowledge of field engineering, operational intelligence, performance measurement, customer support operations, technical investigations, workflow improvement, AI-enabled business process enablement, operational analytics, KPI development, data quality, governance, and evidence traceability. •Demonstrated capacity to implement repeatable reporting routines, investigation methods, operating mechanisms, training materials, and self-service tools. •SQL and Python proficiency with hands-on experience interrogating complex operational data using modern business intelligence, analytics, and cloud-based data platforms to develop trusted reporting, automate analytical workflows, and support evidence-based decision making. •Demonstrated capacity to lead cross-functional work without direct authority and translate evidence into clear technical, operational, executive, and customer-facing communication. •Demonstrated ability to solve cross-functional operational and technical problems. •Strong expertise in connecting field evidence, customer impact, engineering and product ownership, and business outcomes. •Proven ability to define CSFE operational-intelligence methods, evidence standards, performance definitions, and reporting mechanisms. •Strong ability to prioritize and escalate significant failures. •Demonstrated capacity to facilitate assignments and follow-through with accountable operational, engineering, product, or service owners. •History of regular engagement with CSFE leadership team. Compensation: •Paid time off: Exempt Salaried employees receive flexible paid time off Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!