Sr Manager, Analytics and AI

Overview Do you want to join a team that's changing the world? Do you have a strong background as a Sr. Manager, Analytics and AI? 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 Sr. Manager, Analytics and AI 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: Perry Golden 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 Energy is seeking a Sr. Manager, Analytics and AI, reporting to the Sr. Director, Innovation and Analytics. This leader will establish and maintain the enterprise roadmap for analytics and AI initiatives that improve manufacturing and business performance. The role leads the Analytics & AI team, comprised of DevOps engineers, data engineers, data scientists, software engineers, data analysts and forward deployed engineers. The manager partners with business and site leaders to identify high-value use cases, translate business needs into clear opportunities, prioritize the portfolio, and lead initiatives through delivery, adoption, value tracking, and expansion across PECNA sites. Essential Duties Serve as the accountable team leader for Analytics & AI outcomes across PECNA. Establish, maintain, and communicate the enterprise analytics and AI roadmap in alignment with business priorities, Hoshin, AOP, and manufacturing performance goals. Translate the roadmap into a prioritized portfolio with clear business outcomes, sequencing, ownership, resource requirements, dependencies, and measures of success. Review and update the roadmap based on business priorities, technology maturity, data readiness, delivery performance, and value realized. Align leaders across Nevada and Kansas on common analytics and AI priorities, platform direction, reusable capabilities, and opportunities to scale successful solutions. Partner with business and site leaders to identify, shape, and communicate high-value analytics and AI use cases in areas such as yield, quality, scrap, downtime, productivity, cost, supply chain, and workforce effectiveness. Establish a forward deployed engineering model that embeds engineers within business units to provide direct support, develop process expertise, improve use case development, and increase speed to build. Create a clear process for evaluating ideas brought forward by the business and communicating the highest-value opportunities to technical teams and leadership. Prioritize initiatives based on business value, data readiness, feasibility, risk, scalability, and available resources. Lead end-to-end delivery of analytics and AI solutions from discovery through deployment, adoption, and value realization. Provide leadership for data visualization, advanced analytics, machine learning, predictive models, computer vision models, generative AI, agentic AI, digital twins, and decision-support applications. Ensure analytics, ML, computer vision, and agentic AI solutions are practical, explainable, secure, governed, and integrated into business and operational workflows. Establish clear goals, delivery standards, governance, and performance measures for the Analytics & AI portfolio. Partner with Finance and business owners to define value baselines, validate benefits, and track sustained impact. Coordinate with IT, OT, cybersecurity, architecture, and platform teams to support reliable and scalable deployment. Provide concise portfolio updates to senior leadership, including progress, value delivered, risks, resource needs, and decisions required. Lead change management, training, and communication needed to support adoption and long-term ownership. Manage relationships with technology providers, consultants, systems integrators, and other external partners. Develop team capability and repeatable approaches that allow successful solutions to scale across Nevada and Kansas. Supervisory Responsibilities Provides direct leadership and day-to-day oversight for DevOps engineers, data engineers, data scientists, software engineers, data analysts, forward deployed engineers, and other assigned team members. Sets team priorities, assigns work, reviews progress, and ensures accountability for delivery and business outcomes. Coaches and develops team members through goal setting, performance feedback, technical guidance, career development, and cross-functional collaboration. Plans team capacity and allocates resources across initiatives based on business value, urgency, and skill requirements. Oversees work performed by contractors, consultants, platform partners, and other external resources supporting Analytics & AI initiatives. Serves as the functional and technical leader for Analytics & AI while balancing innovation, governance, and operational requirements. Travel Requirement Occasional local travel between company facilities, as required to support business needs. Up to 20% travel required, including travel between Nevada and Kansas sites. Personal Protective Equipment (PPE) Requirements: To ensure the health and safety in the w