Tuyển dụng Global Supply Chain Analytics Manager tại Hồ Chí Minh

Furniture Industries is seeking a Supply Chain Analytics Manager to lead the data and

analytics agenda for our Supply Chain function from the Vietnam Global Capability Center

(GCC). This strategic, hands-on leadership role calls for someone who combines deep expertise

in AI/ML, data engineering, and data management with strong supply chain domain knowledge,

and who can turn data into a competitive advantage across our end-to-end supply chain.

Key Highlights

• Build a unified, AI-ready supply chain data foundation and semantic model for the entire

SC team

• Drive process automation and insight-led, financially grounded decision-making

• Partner with global IT on data integrity, governance, and architecture

• Serve as a strategic analytics partner to senior supply chain leadership

• Lead and develop a high-performing data and analytics team

ESSENTIAL DUTIES & RESPONSIBILITIES

• Build a Unified Supply Chain Data Foundation and Semantic Layer: Architect and establish

a centralized supply chain data pool built on a robust semantic model that serves the entire

SC team as a single source of truth. Design the semantic layer to standardize business

definitions, metrics, and hierarchies across demand, supply, procurement, manufacturing,

inventory, and logistics. Position this foundation to power next-generation AI-driven

analytics and self-service/conversational reporting, progressively replacing traditional static

Power BI dashboards with scalable, query-ready and AI-ready data products.

• Drive Process Automation and Insight-Led Decision Making: Lead the team to identify,

design, and deploy automation solutions that reduce manual effort and support business team

workflows across planning, procurement, and operations. Move the function beyond

descriptive reporting toward predictive and prescriptive analytics that generate actionable

insights. Embed financial analysis into supply chain decisions—linking operational metrics

to cost, margin, working capital, and ROI—so that recommendations are quantified in

business and financial terms and directly support decision-making.

• Partner with Global IT to Ensure Data Integrity and Architecture: Work closely with the

global IT organization to align on enterprise data architecture, integration standards, and

platform strategy. Ensure data integrity, consistency, security, and governance across source

systems (ERP, SCM, and related platforms). Collaborate on data pipelines, master data

management, and architectural decisions so that the SC analytics environment is scalable,

well-governed, and aligned with global standards and the broader technology roadmap.

• Serve as a Strategic Analytics Partner to SC Senior Leadership: Act as a trusted partner to the

senior supply chain leadership team, anticipating their data and analytics needs and

translating strategic priorities into analytical solutions. Deliver timely, accurate data support,

performance insights, and scenario analyses that inform planning and strategy. Build

analytics capabilities that elevate leadership's visibility into supply chain performance and

enable data-driven, proactive decision-making at the executive level.

• Lead, Develop, and Guide the Analytics Team: Lead, mentor, and grow a high-performing

team of analysts and data professionals. Set clear goals, provide technical guidance across

AI/ML, data engineering, and analytics, and foster a culture of continuous learning,

collaboration, and accountability. Manage workload prioritization, professional development,

and delivery quality, while developing the team's domain expertise in supply chain and their

capabilities in modern data and AI tooling.ng best practices in data management, advanced

analytics, and data visualization.

1. Education<

Yêu cầu công việc

1. Education

• Bachelor's or Master's in Supply Chain, Industrial Engineering, Computer Science,

Data Science, Statistics, Operations Research, or related field – Required.

2. Experience

• 7+ years in supply chain analytics – Required.

• 3+ years in a managerial or team-lead capacity, ideally within manufacturing, retail –

Required.

3. Knowledge, Skills, and Abilities

• AI / Machine Learning: Hands-on experience building and deploying ML models for

supply chain use cases such as demand forecasting, inventory optimization, lead-time

prediction, supplier risk scoring, and logistics optimization. Proficiency with

frameworks like scikit-learn, TensorFlow, PyTorch, and XGBoost. Familiarity with

time-series forecasting (ARIMA, Prophet, LSTM) and optimization techniques

(linear/mixed-integer programming, heuristics). Exposure to GenAI/LLM

applications for supply chain is a plus.

• Data Engineering: Strong skills in building and maintaining data pipelines

(ETL/ELT), data modeling, and warehousing. Ability to design scalable architectures

handling large, multi-source supply chain datasets.

• Data Management: Solid grasp of data governance, data quality, master data

management (especially supplier, SKU, and inventory master data), and metadata

management.

• Technical Stack: Advanced SQL and Python (or R). Proficiency with BI/visualization

tools (Power BI, Tableau, or Looker). Experience integrating analytics with ERP and

SCM systems (SAP, Oracle, or equivalent).

• Supply Chain Domain Knowledge: Deep understanding of end-to-end supply chain

processes: demand planning, S&OP, procurement, manufacturing, inventory

management, warehousing, and logistics/transportation. Familiarity with KPIs such as

forecast accuracy, fill rate, OTIF, inventory turns, and landed cost.

• Leadership and Soft Skills: Proven ability to lead and develop analytics teams,

manage stakeholders across global and regional functions, and translate business

problems into analytical solutions. Strong communication skills to present insights to

non-technical leadership. Experience working in a Global Capability Center (GCC) or

shared-services model collaborating with overseas headquarters is highly valued.

• Other: English fluency, project management familiarity (Agile/Scrum) is a plus.

Quyền lợi

• Thưởng: Travel Allowance, Meal Allowance, Phone Allowance