Spclst, Supply Chain Mgmt

We are hiring builders, not just analysts. This role will design, build, and deploy AI agents and automated workflows that directly run procurement processes — not just report on them — partnering closely with category managers, commodity managers, and plant procurement teams to translate domain expertise into working AI-driven tools.

Key Responsibilities

• AI agent development — Design, build, and deploy AI agents across the procurement value chain, including:

• Category spend analytics agents: data cleansing, classification, trend and savings analysis, automated reporting

• Commodity intelligence & blocking/hedging recommendation agents: live market price feeds (e.g., LME/COMEX), forecast synthesis, policy threshold and compliance checks, executive-ready recommendations

• Category and competitive market intelligence agents: tracking competitor activity, supplier risk, and category trends across multiple categories

• RFQ/RFP automation agents: bid floating, response collection, should-cost and bid comparison, negotiation prep

• Process mapping & workflow redesign — Map current-state procurement processes (source-to-pay, category management, RFQ/RFP, supplier onboarding), identify automation opportunities, and redesign workflows for AI-augmented execution — including decision logic, triggers, and exception handling.

• Domain-to-agent translation — Translate category and commodity manager domain rules (e.g., hedging policy thresholds, exclusion criteria, category taxonomies) into agent logic, working hands-on with LLM platforms and automation tooling.

• Data & systems integration — Integrate agents with ERP, spend, and market data sources; build and maintain the underlying data pipelines that power agent decisioning.

• Stakeholder management — Partner with category teams, plants, finance, and IT to pilot, deploy, and scale agents into production; train end users and drive adoption.

• Governance & reporting — Track and report agent performance, savings impact, and adoption metrics; present use cases and outcomes to senior leadership.

Required Qualifications

• Bachelor's or Master's degree in Engineering, Supply Chain, Data Science, or a related field; MBA is a plus.

• 5- 6 years of experience spanning procurement/supply chain, with hands-on exposure to AI, automation, or analytics — or a data science/automation background with strong appetite to learn procurement domain (exact experience band flexed by seniority hired).

• Hands-on experience building with LLM/GenAI platforms (e.g., Claude, Copilot Studio, ChatGPT) and automation tools (e.g., Power Automate, Power BI).

• Working proficiency in Python and SQL for data manipulation and agent/workflow logic.

• Solid understanding of procurement processes — source-to-pay, category management, RFQ/RFP — and, ideally, commodity/hedging management.

• Comfort working directly with prompt engineering and agentic AI frameworks, not just consuming AI tools.

Preferred

• Experience in HVAC, industrial, or manufacturing sectors.

• Exposure to ERP/source-to-pay platforms (e.g., SAP Ariba, Coupa) and BI tools (Power BI).

• Track record of presenting AI/automation use cases to senior or executive stakeholders.

What We Offer

• A mandate to build category-defining AI capability inside a large, global procurement organisation — from zero to production, not a sandbox pilot.

• Direct exposure to senior procurement and supply chain leadership and cross-functional category teams.

• A fast-moving CoE environment with real budget, real spend, and real agents already in deployment.

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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