Senior Manager, Enterprise Data & Analytics

Company Overview

Midea is one of the world’s largest home appliance brands, offering the most comprehensive selection of products in the world to fully serve the needs of day-to-day living at home, at work, or anywhere else you go. In North America we strive to aim high, put the customer first, transform and innovate the marketplace, utilizing our commitment, dedication, inclusion and partnership with our teams. We are a global company with over 150,000 employees and operations in more than 195 countries. As a publicly listed company, we are also ranked #245 as a Fortune Global 500 company and offers one of the most comprehensive ranges in the home appliance industry.

Job Summary

Midea America Corp. is a U.S. subsidiary within Midea Group, the Fortune 500 giant known for making life easier for millions around the globe. As the world’s top maker of home appliances, Midea is proud of its 166,000+ employees and presence in 200+ countries, including here in the U.S.

The Senior Manager, Enterprise Data & Analytics will establish and own the Data & Analytics capability for Midea’s North America business. As the first dedicated role in this area, this position builds the business case and roadmap, sets the governance and technical foundation, and delivers analytics solutions that improve decisions across supply chain, logistics, order-to-cash, and commercial performance. This is a senior, hands-on role: the person in this position writes SQL, builds Power BI prototypes, and validates solutions directly, while directing external contractors and local WMS and TMS vendors and partnering with the Midea Group Headquarters Analytics team for platform and engineering delivery. Success is measured by business adoption, trusted KPIs, less manual reporting, and measurable operational and financial value.

Supervisory Responsibilities:

• No direct reports at hire. Directs the day-to-day work of external contractors and local WMS and TMS vendors, including scope, priorities, quality review, and acceptance of deliverables.

Major Job Duties/Responsibilities:

• Own the North America Data & Analytics roadmap, aligned with regional business priorities and the Headquarters Analytics strategy and platforms; prioritize use cases by business value.
• Partner with leaders in Supply Chain, Logistics, Operations, Finance, Sales, and Service to assess current reporting, data quality, and BI tools, and translate business problems into requirements, KPIs, data models, and dashboards. Priority areas include revenue, margin, and channel performance; order-to-cash, deductions, and DSO; inventory, demand planning, and forecast accuracy; and warehouse, transportation, fill rate, and OTIF.
• Write SQL to extract, reconcile, validate, and analyze enterprise data from ERP, WMS, TMS, CRM, EDI, planning, finance, and service systems; investigate discrepancies across dashboards, source systems, and spreadsheet reporting.
• Build Power BI prototypes, semantic models, DAX measures, and Power Query transformations, and partner with Headquarters Analytics to move solutions into scalable production.
• Define practical standards for data architecture, data modeling, KPI definitions, data ownership, quality controls, lineage, documentation, and access, consistent with company data privacy and security requirements.
• Manage local WMS and TMS vendors that deliver data feeds into the enterprise data warehouse, including source-to-target mappings, interface specifications, reconciliation controls, testing, defect resolution, and acceptance criteria.
• Review and validate technical designs, SQL, data models, pipelines, and integrations delivered by Headquarters Analytics or external partners, and troubleshoot complex data and reporting issues.
• Identify and deliver practical use cases for predictive analytics, forecasting, optimization, exception detection, and generative AI, in line with company AI acceptable use and data security policies.
• Embed analytics into recurring business reviews and operating processes, drive user adoption, and track value realization against agreed business outcomes.
• Maintain internal ownership of KPI definitions, data mappings, architecture decisions, and solution documentation; recommend future staffing or capability investments based on sustained demand and demonstrated value.

Required Skills/Abilities:

• Advanced hands-on SQL, including complex joins, CTEs, window functions, reconciliation, and data-quality analysis
• Advanced Power BI skills, including semantic modeling, DAX, Power Query, row-level security, refresh, and performance tuning
• Strong knowledge of enterprise data warehousing, dimensional modeling, master data, metadata, and data lineage
• Ability to turn ambiguous business questions into measurable analytical solutions and explain findings clearly to non-technical leaders
• Strong analytical and problem-solving abilities, with advanced attention to detail and data accuracy
• Ability to manage vendors and contractors through clear specifications, milestones, and acceptance testing
• Excellent verbal and written communication skills, including working effectively with global teams across time zones
• Ability to manage projects, prioritize competing requests, and work cross-functionally

Education and Experience:

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, Statistics, Business Analytics, or a related field, or equivalent education and experience
• Minimum of 15 years of progressive experience in data and analytics, business intelligence, data engineering, data architecture, or related areas
• Demonstrated ownership of a significant analytics capability, platform, program, or enterprise data solution
• Working knowledge of Microsoft Fabric, Snowflake, or comparable data platforms
• Experience with StarRocks (preferred)
• Experience with ERP, WMS, TMS, CRM, EDI, planning, or e-commerce data, especially in supply chain and logistics (preferred)
• Experience applying predictive analytics or AI agents to improve operational efficiency (preferred)
• Experience with data governance and data-quality practices in a global organization (preferred)

Physical Requirements:

• Prolonged periods of sitting at a desk and working on a computer.
• Occasionally lift up to 15 pounds.
• Travel up to 10% (domestic)

Compensation and Benefits:

The anticipated base salary range for this position is $150,000 to $200,000 per year. The salary offered within this range will depend on job-related factors such as relevant experience, skills, certifications, and internal equity.

Midea offers a comprehensive benefits package that includes medical, dental, and vision coverage with multiple plan options; a 401(k) plan; basic life and accidental death and dismemberment (AD&D) insurance; short-term and long-term disability insurance; health savings and flexible spending accounts; an Employee Assistance Program; paid time off and paid holidays; and paid parental leave.

Job Description Disclaimer

This job description is intended to describe the general nature and level of work performed by employees in this position. It is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. Duties, responsibilities, and activities may change at any time, with or without notice.

Reasonable Accommodation

Employees must be able to perform the essential functions of the position, with or without reasonable accommodation. The Company will provide reasonable accommodation to qualified individuals with disabilities in accordance with applicable law.

Equal Employment Opportunity

Midea is an equal opportunity employer. Employment decisions are based on qualifications, merit, business needs, and other job-related factors, without regard to characteristics protected by applicable federal, state, or local law.