Senior Manager AI Transformation & Adoption

Position Summary

Headquartered in Englewood Cliffs, N.J., Samsung Electronics America, Inc. (SEA), the U.S. Sales and Marketing subsidiary, is a leader in mobile technologies, consumer electronics, home appliances, enterprise solutions and networks systems. For more than four decades, Samsung has driven innovation, economic growth and workforce opportunity across the United States—investing over $100 billion and employing more than 20,000 people nationwide. By integrating our large portfolio of products, services and AI technology, we’re creating smarter, sustainable and more connected experiences that empower people to live better. SEA is a wholly owned subsidiary of Samsung Electronics Co., Ltd. To learn more, visit Samsung.com. For the latest news, visit news.samsung.com/us.

Senior Manager, AI Transformation & Adoption role is part of a newly formed AI Transformation Team under the Business Management Organization. This role focuses on leading the strategic planning and company-wide AI adoption in core business processes and operation. By developing and executing key AI adoption initiatives, this role delivers tangible business results to achieve strategic business objectives, operational efficiency and innovation. This role reports directly to the Director, Head of AI Transformation Team.

Role and Responsibilities

Establish AI Adoption Strategy & Roadmap

• Develop and manage company-wide AI adoption strategy and execution roadmaps
• Determine strategic approach for AI transformation & adoption and set strategic priorities
• Deliver executive leadership reporting to CEO, CFO, and AI executive Committee
• Present insights, proposals, business cases, and progress updates to C-suite and global stakeholders.  Translate complex technical concepts into actionable decisions to achieve company-wide AI adoption

Promoting Internal AI Adoption

• Develop and execute company-wide and business-specific AI adoption initiatives and concrete change management plans
• Plan and execute the rollout of new AI platform/service features to internal users
• Implement a comprehensive plan to develop and communicate practical guides and examples on new features and success stories to increase AI adoption
• Conduct training and provide guidance of new AI platform/service features to internal users (e.g. workshop, demo, innovation summit)
• Create and launch training content, chatbots, tips, and FAQs
• Define and analyze AI adoption KPIs and present improvement plan to executive leadership
• Track AI platform/service usage, manage VOC, and mitigate risks

Market Research and Benchmarking

• Proactively search and stay current with emerging AI & ML technologies and industry trends
• Identify opportunities and develop plans for application within the business
• Conduct benchmarking of industry, headquarter, and other subsidiaries to identify and leverage best practices

Support AI Use Case Discovery and End-to-End AI Lifecycle Execution

• Support discovery of tangible AI use case opportunities and pain points by each business team
• Participate in AI use case discovery workshops and weekly AI Crew meetings with business teams
• Lead strategic planning, scoping, design, execution, and tracking of AI adoption initiatives including ideation, proof-of-concept, pilot, and scale up
• Conduct data-driven ROI & benefits analysis in planning and conduct KPI analysis post execution
• Identify and mitigate AI adoption risks and blockers from both internal and external factors
• Manage continuous improvement of implemented AI adoption initiatives
• Provide AI security guidance for internal users
• Challenge the status quo in search of new AI-driven processes, ideas, and technology to deliver strategic business objectives

Skills and Qualifications

• Bachelor's degree required; MBA or Master’s degree is a plus
• 8-12+ years of experience with a Bachelor's Degree or 6-10+ years of experience with a Master's Degree in AI, Computer Science, Engineering, or related field preferred
• 5+ years of experience applying AI/ML, including Generative AI preferred
• Proven experience in leading AI-driven strategy, transformation, and/or adoption projects from concept through deployment, including roadmap creation, cross-functional alignment, data readiness, technical scoping, and enterprise-wide implementation
• Proven experience in dedica