IT Team Lead (Professional Project Manager)

USP Management•Fort Lee, NJ

About The Position

USP Management, Inc. is seeking a senior-level IT Team Lead (Professional Project Manager) to lead our technology team and serve as a key technical partner to executive leadership. This is a hands-on leadership role, not a purely supervisory one: the IT Team Lead will guide the team's technology strategy and execution, directly manage developers, modernize our ERP and data infrastructure, and drive AI-enabled improvements in a bilingual (Korean–English) corporate environment. This role involves translating business goals into actionable technical plans that support company growth across Sales, Supply Chain (SCM), Accounting, and Operations, and acting as a key bridge between executive leadership and the engineering and operations teams.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience).
5+ years of progressive technology experience, including 3+ years directly managing software engineers or technical teams.
Demonstrated software architecture depth (system design, data modeling, integration patterns) with the ability to remain hands-on.
Proven experience owning ERP and/or core business systems, including modernization or migration projects.
Cloud platform experience (GCP preferred; AWS/Azure acceptable) and modern data/BI infrastructure.
Strong project and portfolio management discipline; experience reporting to and influencing leadership.
Excellent communication, stakeholder management, and cross-functional leadership skills.
Bilingual proficiency in English and Korean (verbal and written)—required for direct communication with executive leadership.

Nice To Haves

Industry experience in steel, manufacturing, distribution, logistics, or supply chain.
Familiarity with modern data stacks (BigQuery, Dataform, Looker Studio) and warehouse-driven analytics.
Software design experience with patterns such as Domain-Driven Design (DDD), CQRS, and incremental modernization (Strangler Fig).
Experience defining AI strategy, governance, and company-wide AI adoption programs.
Experience managing technology vendors and onshore/offshore delivery partners.
Relevant certifications (e.g., GCP/AWS, PMP).

Responsibilities

Help define the technology vision and multi-year roadmap aligned to business objectives and growth, and recommend technology investment priorities.
Establish architecture, security, data, and engineering standards, and lead build-vs-buy and platform decisions.
Report technology strategy, progress, risk, and ROI to leadership on a regular cadence.
Serve as the main technology point of contact for Korean executive leadership, communicating strategy, status, risk, and business impact fluently in both Korean and English.
Translate complex technical concepts into clear business language, and translate business priorities into actionable technical direction for the team.
Act as a cultural and operational bridge in a Korean–American corporate environment.
Directly manage, mentor, and grow the software development team; set hiring plans, performance expectations, and development paths.
Establish and uphold engineering best practices: code review, architecture review, documentation, testing, and release management.
Provide hands-on technical leadership and architectural guidance on critical systems and complex problems.
Own the technology project portfolio: prioritize, sequence, resource, and de-risk initiatives across competing business needs.
Run structured project/sprint management (e.g., Jira, agile cadences) with clear milestones, dependencies, and status reporting.
Manage external vendors, contractors, and SaaS partners, including scope, SLAs, and delivery accountability.
Identify and deliver technology capabilities that enable revenue growth, margin improvement, and operational scale.
Partner with business units to digitize and automate manual workflows, improving speed, accuracy, and decision quality.
Evaluate emerging technologies for competitive advantage and propose initiatives with clear, measurable business cases.
Lead modernization, integration, and reliability of core ERP and business systems, including platform upgrades and migrations.
Own cloud infrastructure strategy and operations, including cost, security, scalability, and reliability.
Build out the company’s data and analytics capabilities (data warehousing, BI, and reporting) into a trusted foundation for decision-making.
Help set the company-wide AI adoption strategy, approved tooling, and a practical AI governance, ethics, and responsible-use framework.
Lead enablement programs that put AI assistants and automation into the hands of non-technical staff.
Ensure data privacy, security, and compliance standards are built into all AI and automation initiatives.