AI and Data Solutions Manager Solutions

For 80 years, Murata Electronics has been a tireless innovator, committed to developing technologies that profoundly change the world around us. Our solutions are inside more state-of-the-art products than you may imagine. Additionally, we enable other global companies to turn their visions into reality – from mobile communications to computers and networking, medical devices to power solutions, smart home technologies to automotive electronics.

Our past innovations drive today's technology – and our present innovations are shaping tomorrow's.

Whatever the future holds, you can be sure that Murata will be a part of it.

Why Consider This Job Opportunity

The AI and Data Solutions Manager leads the delivery, enablement, and continuous improvement of enterprise AI, machine learning (ML), and data solutions. This role partners with IT leadership, business stakeholders, and technical teams to identify high-value opportunities and deliver scalable solutions that improve operational efficiency, user adoption, and measurable business outcomes.

This is a hands-on technical leadership role that combines solution development, project coordination, data platform knowledge, and organizational enablement. The ideal candidate has practical experience building and deploying production AI/ML solutions, working with enterprise data platforms and cloud technologies, and translating business needs into secure, supportable, adoption-ready solutions.

Workplace Policy

Hybrid from Atlanta, GA or Carrollton, TX

What To Expect (Essential Job Responsibilities)

• Lead planning, coordination, execution, and delivery of AI, machine learning, and data solution initiatives across the organization.
• Design, develop, test, deploy, and support practical AI/ML solutions, including prototypes, pilots, and production-ready applications that deliver business value.
• Partner with business stakeholders to identify opportunities, define use cases, document requirements, and translate business needs into actionable solution plans.
• Monitor solution performance, adoption, and business impact, identifying opportunities for continuous improvement.
• Collaborate with IT leadership, data teams, application teams, security, and global partners to align solutions with enterprise architecture, data governance, and security standards.
• Contribute to the development and governance of enterprise AI and data practices, including standards, guardrails, responsible AI practices, documentation, and lifecycle management.
• Promote adoption of approved AI and data platforms through training support, use-case development, stakeholder communication, and practical user guidance.
• Evaluate and recommend tools, platforms, architectures, and integration approaches that align with business requirements and enterprise standards.
• Support organizational AI, data solution roadmaps, implement plans and delivery timelines in partnership with IT leadership and Business Team leadership.
• Provide mentorship and knowledge sharing to internal team members to strengthen AI, machine learning, data platform, and solution delivery capabilities.
• Stay current on emerging AI, automation, cloud, and data platform capabilities, recommending practical applications where they may create business value.
• Assist with troubleshooting, issue resolution, enhancement requests, and post-implementation support for approved AI and data solutions.
• Support special projects, department initiatives, and other duties as assigned.

What Is Required (Qualifications)

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Artificial Intelligence, Engineering, or a related technical field.
• 5+ years of experience in AI, machine learning, data engineering, cloud data platforms, or related technical roles.
• Experience developing and deploying production-level AI/ML solutions using Python and related frameworks or tools.
• Experience with cloud data platforms and tools, including AWS, Snowflake, and SQL, to support analytics and AI/ML workloads.
  
  Experience designing or supporting data and AI/ML workloads in a cloud environment (AWS or Azure).
• Experience leading or coordinating cross-functional technical projects from…