AI & Process Innovation Lead

Samsung Electronics America

Buenos Aires

On-site

ARS 900,000 - 1,500,000

Full time

10 days ago

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Benefits offered by this job

Comprehensive health and wellness
Professional development opportunities
Career advancement
Global networking and collaboration

Job summary

Samsung Electronics America seeks a Process Innovation Responsible to drive AI and digital transformation across the organization. You will manage AI projects, optimize processes, promote innovation, and support automation solutions while monitoring ROI and performance.

You will develop data analytics, KPIs, and reporting to improve operational efficiency and inform strategic decisions. The role requires Engineering or Business Administration background, 2–3 years in similar roles, and fluent

Qualifications

  • Experience leading AI/digital transformation initiatives or similar projects.
  • 2–3 years of relevant work experience in related roles.
  • Fluent English required.

Responsibilities

  • AI Governance: manage and optimize the corporate AI portal, ensuring data accuracy and compliant AI practices.
  • Data Analytics & KPIs: monitor KPIs, identify improvements, provide data-driven insights for performance.
  • AI Adoption & Training: develop training materials to promote AI adoption and effective use of AI tools.
  • AI Development & Process Automation: develop AI-powered solutions to automate processes and drive efficiency.
  • Reporting & Business Impact: create automated dashboards/reports tracking ROI and business results for senior management.

Skills

AI governance
Data analytics
Dashboarding
Stakeholder communication

Education

Engineering
Business Administration

Tools

Claude
ChatGPT
Gemini

Job description

Samsung Electronics America seeks a Process Innovation Responsible to drive AI and digital transformation across the organization. You will manage AI projects, optimize processes, promote innovation, and support automation solutions while monitoring ROI and performance.

You will develop data analytics, KPIs, and reporting to improve operational efficiency and inform strategic decisions. The role requires Engineering or Business Administration background, 2–3 years in similar roles, and fluent

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