Senior Analytics & AI Leader — Enterprise Impact

Panasonic Corporation of North America

De Soto (KS)

On-site

USD 150,000 - 190,000

Full time

5 days ago
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Benefits offered by this job

Health benefits
401(k) plan with company match
Paid time off
Tuition reimbursement
Wellbeing programs

Job summary

Panasonic Energy is seeking a Sr. Manager, Analytics and AI to lead the enterprise analytics roadmap and deliver high‑impact data solutions across PECNA sites, including the De Soto, Kansas plant.

You will manage a diverse team of data engineers, scientists, and DevOps and partner with manufacturing and site leaders to translate business needs into scalable analytics and AI initiatives that drive value and performance.

Qualifications

  • Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, Mathematics, or related field.
  • 8+ years of analytics, data science, AI/ML, or related technology delivery experience.
  • 3+ years leading multidisciplinary technical teams or analytics portfolios.
  • Strong experience with data visualization and AI/ML delivery.
  • Experience with Palantir Foundry, Azure/AWS, and Power BI/Tableau.

Responsibilities

  • Lead Analytics & AI portfolio across PECNA sites and drive value delivery.
  • Establish enterprise analytics roadmap aligned with business priorities and manufacturing goals.
  • Prioritize initiatives, allocate resources, and measure outcome value.
  • Deliver end-to-end analytics solutions from discovery to deployment and adoption.
  • Lead change management and stakeholder communications across leadership.

Skills

Analytics leadership
AI/ML platform experience
Data visualization
Cross-functional collaboration
Manufacturing analytics

Education

Bachelor's degree in engineering/data science/CS/statistics

Tools

Palantir Foundry
Azure/AWS
Power BI/Tableau

Job description

Panasonic Energy is seeking a Sr. Manager, Analytics and AI to lead the enterprise analytics roadmap and deliver high‑impact data solutions across PECNA sites, including the De Soto, Kansas plant.

You will manage a diverse team of data engineers, scientists, and DevOps and partner with manufacturing and site leaders to translate business needs into scalable analytics and AI initiatives that drive value and performance.

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