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Senior Manager – AI Strategy and Operations

Job in Englewood Cliffs, Bergen County, New Jersey, 07632, USA
Listing for: Samsung Electronics America
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Englewood Cliffs

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  For the latest news, visit

Senior Manager, AI Strategy & Operation role is part of a newly formed AI Transformation Team under the Business Management Organization. This role focuses on leading the strategic planning and end-to-end AI lifecycle execution of business-specific AI use cases to drive company-wide AI transformation. Through these AI projects, 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 Strategy & Governance
  • Develop and manage company-wide AI strategic planning and execution roadmaps
  • Determine strategic approach for use cases implementation by business area considering budget & resource and set strategic implementation 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, securing buy-in and funding for strategic AI initiatives
Lead AI Use Case Discovery and End-to-End AI Lifecycle Execution
  • Identify tangible AI use case opportunities and capture pain points by each business team
  • Lead AI use case discovery workshops and weekly AI Crew meetings with business teams
  • Lead strategic planning, scoping, design, execution, and tracking of AI use case end-to-end lifecycle 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 project risks and blockers from both internal and external factors
  • Develop and manage strategic vendor relationships and engagements with technical vendors, consulting firms, automation providers, and ensure quality project deliverables. Negotiate contracts, SOWs, performance metrics, and co-innovation pilot programs with vendors
  • Manage continuous improvement of implemented AI use cases
  • Provide AI security guidance for each use case
  • Challenge the status quo in search of new AI-driven processes, ideas, and technology to deliver strategic business objectives
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
Skills and Qualifications

Minimum 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
  • 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
  • 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 use case implementation projects
  • Strong passion to stay current on the latest AI trends and…
Position Requirements
10+ Years work experience
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