Senior AI Deployment Business Analyst – Commodities Trading: World Energy Co

Overview

In this role you will bridge business and technology to expand AI-enabled products within the Products Trading organisation. You will translate complex trading challenges into digital and AI-enabled solutions, partnering with traders, schedulers, operators and tech teams. You’ll shape requirements, drive alignment, and help scale AI-focused initiatives across front, middle and back office processes. This opportunity sits at the frontier of AI and commodities trading within a transforming Energy company, offering impact across trading workflows and product delivery.

Responsibilities

• Lead discovery, analysis, and requirements definition across strategic initiatives; produce user stories and acceptance criteria
• Facilitate workshops with traders, schedulers, operators, commercial teams and technology teams
• Define capability maps and business outcomes; align solutions across business, product, and engineering
• Provide subject matter expertise in Refined Products Trading, Crude Trading, Deal Capture, Trade Lifecycle, Logistics, and risk/PM analysis
• Identify AI-enabled opportunities; work with AI engineers and data scientists to deliver AI products
• Support product discovery, MVP definition, and scaling of AI-enabled solutions

Key requirements

• Extensive BA experience in Commodities or Energy Trading
• Strong knowledge of Products Trading processes and value chains
• Experience working with traders and operational stakeholders
• Experience with large-scale digital transformation
• Excellent stakeholder management and workshop facilitation
• Agile product delivery experience
• Experience delivering AI/ML or Advanced Analytics solutions
• Understanding of Generative AI and LLMs
• Ability to translate business requirements into AI use cases
• Familiarity with AI product lifecycles and adoption challenges

• Stakeholder management
• Workshop facilitation
• Clear communication
• AI/ML and Advanced Analytics
• Generative AI and Large Language Models (LLMs)
• AI product discovery and MVP framing

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