Senior Manager AI Transformation & Adoption

Samsung•Englewood Cliffs, NJ

About The Position

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.

Requirements

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
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 dedicated change management, project management, or organizational development with a track record of managing and implementing large-scale organizational or technology-driven change initiatives
Strong understanding of AI technologies, including machine learning, natural language processing, and data analytics and their application in business processes
Strong project management skills and experience with AI implementation tools
Strong analytical abilities to analyze business performance and ROI on AI adoption initiatives
Strong passion to stay current on the latest AI trends and market & industry insights to apply to AI adoption initiatives
Exceptional verbal and written communication and presentation skills to both internal and external clients coupled with exceptional Microsoft PowerPoint & Excel capabilities
Ability to build strong relationships with peers, across the organization and the senior leadership

Nice To Haves

5+ years of experience applying AI/ML, including Generative AI
Experience in the technology or management consulting industry
Solid understanding of change management principles, methodologies, and tools
Proficiency in data analysis & automation tools (e.g. SQL, Tableau, Alteryx, RPA), deep understanding of AI platforms, and/or Python coding knowledge
Certifications in AI, machine learning, change management, and project management methodologies
Experience in strategy, consulting, innovation, and/or process creation & redesign
High-level of confidence, integrity, enthusiasm, and presence that fits a fast-paced, energetic and proactive organization
Expertise in critical evaluation of complex problems and providing clear and concise recommendations
Experience leading engagements with the business units and external customers
Advanced problem-solving skills with the ability to work cross-functionally to resolve issues and generate results among potentially conflicting stakeholder positions
Experience defining and managing external partnerships and contracts with technology vendors, consulting firms and solution providers to accelerate AI transformation
Experience summarizing and presenting analytical work to senior leadership

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