Sr. Manager, SEA Care Process Innovation

Samsung Electronics•Plano, TX

3d•Onsite

About The Position

This role is not eligible for immigration sponsorship. 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. The primary objective of this position is to lead North America’s Customer Service Process Innovation activities, including business process transformation, AI and intelligent automation adoption, system improvement, and performance excellence across all Care divisions. In order to achieve higher business performance and synergy across SEA subsidiaries, this position is expected to maintain effective communication with North America’s business units, Korea HQ, and global technology partners regarding Process Innovation and AI transformation activities.

Requirements

Bachelor's degree (BA or BS) in Business, Engineering, Information Systems, or related field.
Minimum 8+ years of experience performing project management, budget management, and financial and operational analysis
Experience in financial and operational analysis and presentation to executive management teams
Demonstrated ability to identify areas of process improvement and managing improvement projects
Experience in business process review and analysis, managing departmental and project budgets
Knowledge of Project management; PMP certification a plus
Knowledge of tools and techniques for ROI and benefit analysis
Knowledge of IT solutions (ERP, CRM, SaaS, Mobile applications)
Excellent verbal and written communication skills; ability to effectively engage with and present to all levels of management
Client service driven with excellent relationship management skills
Ability to facilitate collaboration with diverse groups across geographies
Team oriented, but able to work independently and manage multiple tasks
Self-directed and results-oriented with strong analytical and problem-solving skills
Skilled in use of Microsoft Office, including Excel, PowerPoint, and Word
Proficiency in Korean is recommended for communication with Korea headquarters

Nice To Haves

MBA is preferred but not required
Demonstrated hands-on experience applying AI/ML technologies in a business process or Care operations context (e.g., intelligent document processing, predictive analytics, NLP-based ticket classification, automated quality monitoring)
Working experience with Generative AI platforms (e.g., Azure OpenAI, AWS Bedrock, Google Gemini, or equivalent); ability to identify and deploy high-value enterprise process applications
Working knowledge of Robotic Process Automation (RPA) platforms — UiPath, Automation Anywhere, or Blue Prism — including bot design, exception handling, and orchestration
Hands-on experience with AI-powered process mining tools such as Celonis or UiPath Process Mining; ability to interpret conformance and performance analysis outputs
Understanding of cloud platforms (AWS, Azure, or GCP) and data architecture fundamentals as they relate to building and scaling intelligent automation solutions
Ability to bridge business and technology teams: translate AI/ML concepts into clear business value propositions for non-technical stakeholders, and business requirements into technical specifications for data science and engineering teams
Familiarity with AI governance principles and data privacy regulations applicable to SEA markets (PDPA, GDPR); experience operationalizing responsible AI standards is a plus
AI or Data Analytics certifications are a plus (e.g., Google Professional ML Engineer, AWS ML Specialty, Microsoft Azure AI Engineer)
You are energized by the potential of AI to transform how work gets done and actively experiment with new AI tools to enhance team and personal productivity
You are willing to travel 20% of your time, including to regional SEA offices and HQ (Korea)

Responsibilities

Set up and manage KPIs by working with business owners or senior leadership teams to establish continuous performance and quality improvement efforts
Lead the project technical and operational team and maintain project objectives through effective management skills. Team members can report directly into this role.
Define the scope of the project in collaboration with business owners, create a detailed work plan which identifies activities, implement the project, and monitor progress for successful completion
Maintain and improve existing systems and processes continuously to evolve with changing business strategies, and ensure alignment to industry standards by performing market studies
Lead cross-functional teams that gather information to identify improvement strategies by understanding the organization structure and navigating the organization to effectively drive change management systems or processes
Acquire data and analyze results using statistical techniques, interpret trends or patterns in complex data sets, and work with management to prioritize business and information needs
For any issues or problems, perform deep dive analysis and research to find root cause and appropriate corrective actions to resolve the issue, optimize process and provide governance
Define and champion the AI transformation roadmap for the SEA Process Innovation function; identify high-impact AI/ML use cases across Care operations (contact center, eCommerce, field service, warranty) and build a prioritized pipeline aligned with business strategy
Lead deployment of Intelligent Process Automation (IPA) solutions that combine Robotic Process Automation (RPA) with AI/ML capabilities — including NLP, computer vision, and predictive analytics — to automate high-volume and judgment-intensive workflows
Leverage AI-powered process mining and task mining tools (e.g., Celonis, UiPath Process Mining) to objectively map as-is processes, quantify inefficiencies, and build a data-driven transformation roadmap
Evaluate, pilot, and scale Generative AI (GenAI) applications — including LLM-based agent workflows, intelligent document processing, and AI-assisted decision support — to improve Care service quality and team productivity
Establish an AI governance framework for the PI function: define standards for model quality, data privacy compliance (PDPA, GDPR), bias monitoring, and responsible AI usage consistent with Samsung's enterprise policies
Build AI literacy and capability across the PI team and broader Care organization through structured training programs, workshops, and communities of practice; evangelize the AI-first mindset