Jobs at Golden Agri-Resources (GAR)

Supports trade operations activities. The posting provides limited responsibility details and lists a bachelor’s degree in Business Administration or Management and English-language proficiency as qualifications.

Develops dashboards, KPI monitoring, and analytical reports to identify business trends, risks, root causes, and improvement opportunities. Translates business questions into metrics and analytical requirements, supports predictive and prescriptive AI use cases, validates data quality, documents governance standards, and collaborates with business, IT, and data engineering stakeholders to deliver trusted analytics and AI-enabled solutions.

Manages platform infrastructure, automation, daily business-as-usual operations, VMware support, and Microsoft environments including ADFS, Active Directory, Exchange, Microsoft 365, KMS, WSUS, and MIM. Also oversees file and print services, mobile device management solutions, and project management activities.

Acts as a bridge between business and IT by translating business requirements into system specifications and explaining system limitations in business terms. Analyzes business functions, gathers information, evaluates process and system requirements, recommends process and system improvements, develops controls and procedures, maintains documentation, supports and trains users, and identifies opportunities to improve monitoring and operational value.

Conduct market, industry, and competitor research; evaluate business opportunities with market sizing and risk analysis; build financial models and valuation analyses; prepare investment memos and deal documentation; maintain databases and dashboards; track KPIs; develop strategic presentations and reports; clean and analyse data to inform decisions; support cross-functional projects and occasional business travel.

Lead and manage an Agentic AI engineering team to design, build, deploy, and operate AI agents, copilots, and multi-agent systems. Provide technical leadership, enforce architecture and code standards, mentor on LLMs/RAG/prompt engineering, run sprints and POCs, collaborate with stakeholders, and drive reuse and governance compliance.

Design, build, and deploy agentic AI solutions and co-pilots: architect end-to-end AI pipelines, implement LLM- and RAG-based agent workflows, integrate with enterprise systems, prototype POCs, and ensure performance, reliability, governance, and stakeholder collaboration.

Manage financial performance, assist in budgeting, conduct variance analysis, and provide strategic business analysis for the business unit.

Perform business process analysis across finance, supply chain and plantations with a focus on SAP SD/ACM. Gather and document requirements, translate them to technical specs, and participate in SAP implementation, configuration, testing and post-go-live support. Manage stakeholders and vendors, drive process improvements, and ensure governance and compliance across locations.