Note: The job is a remote job and is open to candidates in USA. Ingersoll Rand is a technology-driven industrial company developing mission-critical flow creation and life science technologies. The Procurement AI & Automation Analyst will identify procurement opportunities for AI and automation, build and deploy AI-enabled applications and workflows, and manage their lifecycle. The role will also support responsible AI governance, user adoption, stakeholder collaboration, and measurement of business impact.
Responsibilities
- Partner with Strategic Sourcing, Category Management, Procurement Operations, Supply Chain, and Procurement Excellence teams to identify pain points and repeatable work that can be improved with AI or automation
- Map end-to-end processes, decisions, data inputs, handoffs, exceptions, and approval points; distinguish what can be automated from what requires human judgment
- Maintain a transparent use-case backlog and help prioritize high-volume, repetitive, lower-complexity opportunities with clear business outcomes and manageable risk
- Translate business needs into user stories, process requirements, acceptance criteria, and an achievable delivery plan
- Prototype and build solutions using approved generative AI tools, Claude Code or comparable AI-assisted development tools, GitHub, APIs, scripting, data platforms, and low-code/no-code automation tools
- Develop prompts, structured outputs, retrieval workflows, business rules, interfaces, and integrations that enable agents to complete defined procurement process steps
- Design solutions with appropriate human-in-the-loop checkpoints, exception handling, approval logic, and guardrails
- Test for accuracy, reliability, security, usability, and business fit; coordinate user acceptance testing and incorporate feedback before release
- Deploy, document, and support solutions in a controlled manner, using version control and repeatable release practices
- Maintain an inventory of active agents and applications, including business owner, purpose, process scope, data sources, prompts or logic, access, dependencies, risk level, and current version
- Monitor usage, performance, quality, failures, exceptions, cost, and user feedback; quickly troubleshoot issues and coordinate resolution with technical or business partners
- Continuously improve prompts, workflows, integrations, and user experience as business requirements and source data change
- Establish practical operating routines for intake, prioritization, testing, release, support, change control, and retirement of outdated solutions
- Prevent one-time experiments from becoming unsupported tools by ensuring every production solution has clear ownership, documentation, and measurable outcomes
- Partner with IT, Cybersecurity, Data Privacy, Legal, Compliance, and Internal Controls to ensure solutions use approved tools and follow company requirements
- Apply appropriate controls for data access, confidential information, auditability, validation, records retention, and human review
- Document known limitations, acceptable-use boundaries, escalation paths, and situations in which an AI output must not be used without human verification
- Help establish reusable standards, templates, and checklists for procurement AI and automation solutions
- Create and maintain a procurement-specific library of prompts, playbooks, reusable components, examples, and lessons learned
- Deliver short training sessions, demonstrations, office hours, and user guides that help employees apply AI safely in real procurement workflows
- Collect feedback, share successful use cases, and make time savings and process improvements visible to encourage adoption
- Act as a practical connector between business users and technical teams, communicating clearly with both audiences
- Build and maintain an AI scorecard that tracks adoption and operating results, not just activity
- Track measures such as percentage of the team using approved AI tools, number of workflows automated, number of active agents handling real work, cycle-time or hours saved, accuracy, exception rate, user satisfaction, and financial or risk-reduction value
- Provide concise updates on the portfolio, delivery status, risks, lessons learned, and realized benefits to Procurement Excellence leadership and business stakeholders
- Use data and user feedback to recommend where to scale, redesign, pause, or retire solutions
Skills
- • Bachelor's degree or equivalent practical experience in computer science, information systems, analytics, engineering, supply chain, business, finance, or a related field
- • 2 – 3+ years of relevant experience, which may include professional experience, internships, co-ops, academic projects, freelance work, or a demonstrated project portfolio
- • 1+ year of hands-on experience using Claude Code, OpenAI Codex, or comparable AI-assisted development tools to build applications, platforms, workflows, or automations; general chat-based LLM use alone is not sufficient
- • Experience taking at least one AI-assisted solution from business need or concept through working output, including solution development, iteration, testing, and evaluation of results
- • Experience analyzing business processes and translating ambiguous needs into defined requirements, workflows, automation opportunities, or acceptance criteria
- • Experience collaborating with both technical and non-technical stakeholders, including gathering requirements, communicating solutions, incorporating feedback, and adapting to changing technologies or business needs
- • AI-Enabled Problem Solving – Identifies practical opportunities to apply AI and automation to business problems and improve processes
- • Business & Process Analysis – Breaks down ambiguous workflows, identifies gaps or inefficiencies, and translates needs into clear solution requirements
- • Learning Agility & Curiosity – Quickly learns emerging AI tools, technologies, and approaches in a rapidly changing environment
- • Cross-Functional Collaboration – Builds effective working relationships across Procurement, Supply Chain, IT, Legal, Cybersecurity, and other business functions
- • Communication & Translation – Effectively translates business needs for technical audiences and technical concepts for non-technical stakeholders
- • Ownership & Continuous Improvement – Takes accountability for solutions from concept through deployment, support, measurement, and ongoing enhancement
- - This is a Remote US based role only and not open to international candidates Minimal travel (<10%), primarily to suppliers as needed
- • Experience using multiple AI-assisted development platforms or advanced AI development capabilities beyond the minimum required experience
- • Exposure to Procurement, Strategic Sourcing, Supply Chain, Contract Management, Supplier Management, or Spend Analytics
- • Experience with Git/GitHub or other version-control practices
- • Experience with Snowflake or another cloud-based data platform
- • Experience with Power BI, Tableau, or similar visualization/reporting tools
- • Experience with low-code/no-code automation or application-development platforms, such as Power Automate, n8n, Zapier, Retool, or Streamlit
- • Familiarity with APIs, system integrations, scripting, structured data, or data connections
- • Familiarity with agentic AI, retrieval-augmented generation (RAG), AI evaluation methods, monitoring, and human-in-the-loop design
- • Experience supporting or maintaining internally developed applications, workflows, or automation solutions
- • Experience conducting user acceptance testing (UAT) and incorporating user feedback
- • Experience creating technical/process documentation, user guides, playbooks, or reusable templates
- • Experience delivering training, demonstrations, office hours, or change-adoption support
Benefits
- Medical and prescription plans
- Dental and vision coverage
- Wellness programs
- Life insurance
- 401(k) plan
- Paid time off
- Employee stock grant
Company Overview