Sr. Manager, AI Transformation

About SK hynix America

At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of mobile technology, empower cloud computing, and pioneer future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.

We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to create the next generation of memory solutions that will define the future of computing.

 

Job Overview: 

We are seeking an AI Transformation Manager to lead the design and execution of our enterprise AI/automation strategy, partnering with business units to identify, pilot, and scale AI-driven process improvements.

Job Responsibilities: 

• Develop and execute the organization’s AI transformation strategy aligned with business objectives.
• Identify, prioritize, and evaluate AI use cases that improve operational efficiency and business value.
• Lead cross-functional AI initiatives from ideation through implementation and adoption.
• Partner with business stakeholders to understand pain points and translate them into AI solutions.
• Create and maintain the AI roadmap, including project prioritization, milestones, and success metrics.
• Coordinate with IT, Data, Security, Legal, and business teams to ensure successful AI deployment.
• Manage AI vendors, technology partners, and solution evaluations.
• Drive organizational change management and user adoption through communication, training, and enablement.
• Establish AI governance, including responsible AI practices, risk management, and compliance.
• Monitor AI project performance, measure ROI, and continuously optimize AI solutions.
• Stay current on emerging AI technologies, market trends, and industry best practices.
• Promote an AI-driven culture by educating employees and encouraging innovation.
• Develop and manage the enterprise AI/LLM transformation strategy and roadmap.

Qualifications: 

• 5+ years of experience leading digital transformation, AI, or enterprise technology initiatives.
• Experience planning or executing RPA, LLM, or generative AI projects.
• Strong cross-functional collaboration and project management skills.
• Experience with change management and business process improvement.
• Strong analytical, problem-solving, and strategic thinking skills.
• Excellent business communication skills (English required; Korean a plus).

Benefits:       

• Top-tier health insurance at no employee cost.
• Paid days off: Paid Time Off, Company Holidays, Parental Leave, Happy Fridays.
• 401k Matching.
• Flexible Spending Account (FSA) for Health Care & Dependent Care.
• Educational reimbursement up to $10,000 per year.
• Donation Matching and volunteering opportunities.
• Corporate discount programs.
• Free Breakfast/Lunch/Dinner provided to employees.

 

Equal Employment Opportunity:

SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information, or any other status protected under federal, state, or local applicable laws. 

 

Compensation: