AI and Data Solutions Manager

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. Miscellaneous Job Responsibilities 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 requirements through implementation. Ability to translate business needs into technical requirements, solution designs, implementation plans, and adoption approaches. Ability to work independently, manage competing priorities, and deliver high‑quality work in a collaborative environment. Ability to explain technical concepts clearly to business stakeholders and translate business problems into practical technical approaches. Strong problem‑solving, documentation, communication, and presentation skills. How To Stand Out (Preferred Qualifications) Master's degree or professional certification in a related technology, analytics, cloud, or AI discipline. Experience leading development teams, cross‑functional project teams, or technology initiatives. Experience with designing and developing Agentic AI applications. Experience with Microsoft Azure, Copilot Studio, Power Platform, or Microsoft 365 AI enablement capabilities. Experience with AWS SageMaker, Amazon Bedrock, MLOps practices, and APIs. Experience supporting AI adoption and organizational enablement programs. Familiarity with AI governance, responsible AI practices, data governance, and solution lifecycle management. Experience in electronics manufacturing, sales and business development, business operations, digital experience, supply chain, or related industry domains. Perks Comprehensive benefits package including medical, dental, and vision insurance. Generous Paid Time Off including paid holidays and floating holidays. 401(k) employer match on retirement planning. Hybrid working schedule for eligible positions. Tuition reimbursement on approved programs. Flexible and health spending accounts. Talent Development program. Equal Opportunity/Affirmative Action Employer – M/F/Disabilities/Veterans #J-18808-Ljbffr Murata America