Overview Do you want to join a team that's changing the world? Do you have a strong background as a Forward Deployed DataX Manager? Then we're looking for you! Check out the job description and apply now! Put your skills to meaningful use, gain unique experience, and work with world-class team members with diverse backgrounds and expertise who share the same vision. Join the PECNA team today! Responsibilities Forward Deployed DataX Manager https://www.youtube.com/watch?v=0tMgKm_71qs (by clicking this link you are being referred to an external site that is not part of Panasonic) Meet the Recruiter: Eric Laffey Summary: Join us at Panasonic Energy as we expand to De Soto, Kansas, where we're building the world's largest lithium-ion battery factory. This is an exciting opportunity to grow your career while contributing to the future of electric vehicles. As part of our team, you'll help push the limits of battery technology, enhancing performance and efficiency in sustainable transportation. Our state-of-the-art facility, just outside the Kansas City Metro, will be a hub for innovation in green energy solutions. If you're passionate about sustainability and eager to contribute to the electric vehicle revolution, we invite you to be part of our dynamic team. Join us and make a meaningful impact on the future of energy and transportation. Job Summary: Panasonic is seeking a Forward Deployed DataX Manager, reporting to the Director Digitial Manufacturing for Panasonic Energy. This professional will be accountable for delivering end to end data solutions that directly improve factory operations. This role works hands on on the factory floor with manufacturing, quality, and operations teams to translate production challenges-such as yield loss, scrap, downtime, and traceability gaps-into production grade, near real time data products. The manager leads the full lifecycle of data delivery, including designing and deploying pipelines across MES, equipment, historians, quality, CMMS, SCADA, and inspection systems, building analytics and dashboards used daily by operators and engineers, modeling core manufacturing entities, and mentoring forward deployed data teams, all while operating under real world production constraints and supporting extensive on site and travel requirements. Essential Duties: Mandatory on-site, embedded role within EV battery manufacturing facilities - Sparks, NV or De Soto, KS Serve as the single accountable team leader for forward-deployed DataX outcomes Work directly on the factory floor with manufacturing, quality, and operations teams Translate production problems (yield loss, scrap, downtime, traceability gaps) into deployable data solutions Lead end-to-end delivery of data products from discovery to production Design and deploy production-grade data pipelines integrating equipment, MES, historians, quality, CMMS, SCADA, and inspection quality systems Implement event-driven and near-real-time analytics for operational decision-making Build and operationalize solutions using but not limited to AWS, Azure, Palantir Foundry and/or similar platforms Model manufacturing entities such as cells, lots, batches, equipment states, and genealogy Develop operational dashboards and analytical applications used daily by engineers and operators Lead and mentor forward-deployed data engineers, analytics engineers, and data scientists Manage execution under real-world factory constraints Travel and extended on-site assignments are a core requirement Supervisory Responsibilities: Provides direct leadership and day‑to‑day oversight for forward‑deployed data engineers, analytics engineers, and data scientists assigned from time to time for on‑site manufacturing deployments. Plans, assigns, and coordinates work across engineering and analytics functions to support end‑to‑end delivery of production data solutions Mentors and develops team members through hands‑on guidance, technical leadership, and on‑site collaboration in live factory environments. Oversees and coordinates work performed by external vendors and contractors supporting forward‑deployed data solutions, ensuring alignment with project objectives, delivery standards, and on‑site operational requirements. Serves as a Technical Leader for the DataX team leading innovation while balancing operational requirements Travel Requirement: Occasional local travel between company facilities, as required to support operational needs Up to 20% travel required Personal Protective Equipment (PPE) Requirements: To ensure the health and safety in the workplace and for the protection of our employees, wearing PPE is a possibility and may include equipment such as a full Tyvek suit, safety shoes, gloves, safety glasses, face mask, bump cap, and a full hazmat suit that includes a respirator. The foregoing description is not intended and should not be construed to be an exhaustive list of all responsibilities, skills and efforts or work conditions associated with the job. It is intended to be an accurate reflection of the general nature and level of the job. Qualifications Requirements - Required and/or Preferred Education, Certifications, and Licenses: Required: Bachelor's degree in Engineering, Science or Mathematics Preferred: Engineering degree in Computer Science AWS, Azure, Palantir, AI certification/s Prior experience in Data Science Prior experience in Manufacturing, Industrial or Software Solutions Essential Qualifications: 7+ years' experience in data engineering, analytics, AI, or software delivery 2+ years leading teams or owning large customer-facing deployments A graduate degree is mandatory for this role Strong hands-on proficiency with Cloud based Data Solutions - AWS (S3, EC2, IAM, Lambda, Glue, Redshift, Athena), Palantir, Azure, etc. Experience building and operating ETL / ELT pipelines at manufacturing scale Hands-on experience with event-based platforms (Kafka, Kinesis, or equivalent) Proficiency in Palantir Foundry, including pipelines, ontologies, and applications Strong experience with Tableau for operational and executive dashboards Proficiency in SQL and Python Experience integrating MES, historians, PLC-adjacent data, and quality systems Familiarity with EV battery manufacturing processes (cell, formation, aging, test, genealogy) is a plus Comfortable operating in ambiguous, high-pressure, production environments Willingness and ability to meet mandatory on-site and travel requirements Physical Demands: Physical Activities: Percentage of time (equaling 100%) during the normal workday the employee is required to: Sit: 10% Walk: 50% Stand: 40% Required Lifting and Carrying: Rare (