Job Description

At Hyosung HICO we’re transforming the future of energy from our state-of-the-art manufacturing facility in Memphis, TN. By investing in cutting-edge technology and empowering our diverse and talented team, we ensure that every transformer we produce meets the highest standards of quality and performance.

Hyosung HICO is seeking to fill a Manufacturing Data Architect position. The ideal candidate will design, implement, and govern enterprise data architecture to support integrated digital manufacturing solutions. This role contributes to the migration and integration of Manufacturing Operations Management (MOM) systems and ERP data into a scalable cloud (Azure or similar) platform, enabling advanced analytics, automated reporting, and AI-driven decision making across manufacturing, quality, supply chain, and planning functions and all levels of leadership, and stakeholders within the Hyosung HICO organization.

OUR BENEFITS – BEST BENEFITS IN THE INDUSTRY!

• Free Medical Insurance Option – A company paid 100% medical insurance option for you and your family, effective on the first day of the month after hire date
• Free Life Insurance – Employer paid basic life insurance – 1X Annual salary plus an additional $20,000 coverage: Optional buy for dependent coverage
• Paid Vacation, Sick Leave, and 12 paid holidays per year
• Tuition Assistance
• Bonuses – Monthly Attendance (production and some other hourly roles), Annual, and Quarterly bonus eligibility (Bonuses are not guaranteed and are based on several factors such as company and individual performance)

THE ESSENTIAL FUNCTIONS OF THE POSITION INCLUDE, BUT ARE NOT LIMITED TO THE FOLLOWING:

• Design and implement cloud-based data architecture solutions for manufacturing systems across SAP and non-SAP platforms.

• Design and coordinate implementation of migration of manufacturing and business data from SAP and MOM systems — including MES, APS, PLM, and QMS — to Microsoft Azure cloud environments, in collaboration with global headquarters (Korea)

• Develop scalable, secure, and efficient data ingestion, storage, and processing solutions in accordance with organizational standards. • Contribute to data platform planning and recommend improvements aligned with business and technical requirements.

• Develop and maintain the extracting and modeling inventory and supply chain data from ERP system (e.g., SAP) using SQL inquires to build report datasets for BI.

• Design and develop ETL/ELT processes to integrate data from multiple operational systems into a centralized Azure cloud data platform, leveraging Azure Databricks (Apache Spark), Azure Data Lake Storage (ADLS), Delta Lake, and Azure Synapse Analytics.

• Build and maintain data models optimized for analytics, reporting, and operational insights.

• Integrate ERP (SAP) and MOM data sources to support cross-functional manufacturing reporting and data visibility across manufacturing, quality, supply chain and planning functions.

• Develop and maintain reliable data pipelines supporting both near-real-time and batch processing workloads.

• Prepare and curate manufacturing data from ERP and MOM systems to support operational analytics and visualization through Power BI and related analytical tools.

• Prepare and structure data to enable advanced analytics and machine learning initiatives.

• Develop and maintain data models that support performance monitoring and operational intelligence across manufacturing operations. • Coordinate Smart Factory projects in collaboration with global headquarters and an academic institution, developing and deploying customized IoT, AI/ML, and advanced analytics solutions aligned with defined project objectives.

• Implement and maintain data governance practices related to data quality, integrity, security, and access management.

• Implement, monitor, and enforce data stewardship, metadata management, and access control standards established by global headquarters for cloud and BI platforms.

• Work with cross-functional teams including manufacturing control, supply chain, and production to understand data requirements and develop data solutions.

• Provide technical guidance to business users on data access, usage and reporting tools.

• Collaborate with SAP and MES configuration teams at global headquarters to support analytics requirements for U.S. manufacturing operations.

• Monitor and optimize performance of cloud data pipelines and storage solutions to improve efficiency, reliability, scalability, and cost effectiveness.

• Identify opportunities to improve data architecture, integration processes, and tools to meet evolving business needs. • Maintain data integrity and accuracy by developing governance processes for BI reporting.

• Develop and oversee coordination of Revenue Management strategies to optimize planning periods and maximize profitability.

• Conduct analysis of prior year performance, leverage industry data sources, internal financial metrics, changing network structure, and competitive insights to create strategic recommendations to core Inventory Management analysts.

• Monitor production schedules, identify close-in performance gaps, and recommend adjustment strategies accordingly.

• Champion of economic concepts and revenue optimization.

• Detail oriented and deadline focused with ability to manage responsibilities in a fast-paced environment

• Must be able to work both independently and in a team environment

• Intermediate SQL skills, Microsoft Excel and PowerPoint skills.

• Perform other duties as assigned

THE DESCRIPTION ABOVE REPRESENTS THE MOST SIGNIFICANT ESSENTIAL DUTIES OF THE JOB BUT DOES NOT EXCLUDE OTHER OCCASIONAL WORK ASSIGNMENTS NOT MENTIONED.

THE NON-ESSENTIAL FUNCTIONS OF THE POSITION INCLUDE, BUT ARE NOT LIMITED TO THE FOLLOWING:

• Although the primary job functions involve the ability to sit and work on a computer and in an office situation for extensive periods of time, the associate must be capable of walking, sitting, and standing for extended periods of time.
• The associate is frequently required to walk; reach with hands and arms; and talk, see, and hear. The associate is occasionally required to climb or balance and stoop, kneel, crouch, or crawl. The associate must frequently lift and /or move up to 10 pounds, occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.

EDUCATION/SPECIAL SKILLS/EXPERIENCE/TRAINING:

• Bachelor’s degree in business Analytics, Finance, Economics or Financial Engineering with years of verifiable analytical experience or equivalent education and experience.
• Data Analytics experience in Manufacturing setting.
• Proficiency in English and Korean languages.
• Strong knowledge of production planning along with Smart Factory knowledge.
• Cloud, SAP, and Business Intelligence experience is required.
• Knowledge of Azure Databricks (Apache Spark), Azure Data Lake Storage (ADLS), Delta Lake, and Azure Synapse Analytics or similar programs and software.
• Effective communication skills in a variety of formats, including written, visual, and verbal, with emphasis on clarity.
• Developed math, verbal and written communication skills including grammar and spelling.
• Advanced customer service skills including service-oriented attitude.
• Subject matter expert on use of cloud and data storage and planning
• Expert computer skills, emphasizing MS Office products.

PHYSICAL/MENTAL CHARACTERISTICS OF THE POSITION AND ENVIRONMENTAL FACTORS OF THE WORKPLACE:

• Ability to use office equipment, such as: PC, photocopier, fax machine, etc.
• Ability to communicate with others to complete work.
• Ability to be adaptable and flexible in a constantly changing environment
• Ability to use multi-line phone system to answer and route calls.
• Ability to perform multiple tasks in a fast-paced environment.

Hyosung HICO, Ltd., is an Equal Employment Opportunity (EEO) Employer. It has been and will continue to be a fundamental policy of Hyosung HICO, Ltd., not to discriminate on the basis of race, color, creed, religion, gender, gender identity, pregnancy, marital status, partnership status, domestic violence victim status, sexual orientation, age, national origin, alienage or citizenship status, veteran or military status, disability, medical condition, genetic information, caregiver status, unemployment status or any other characteristic prohibited by federal, state and/or local laws.