5-7 years of experience in business analysis or process improvement
Proven track record in redesigning end-to-end processes using methodologies like Lean or Six Sigma
Strong skills in root cause analysis and process measurement
Experience with AI, machine learning, or intelligent automation initiatives
Proficiency in SQL, Excel, Power BI, or similar analytical tools
Excellent communication and facilitation skills with diverse stakeholders
Responsibilities
Map and analyze end-to-end business processes to identify inefficiencies
Establish performance baselines for cycle time, cost, quality, and errors
Conduct root cause analysis to simplify or redesign workflows
Evaluate the integration of AI and automation in process improvement
Design future-state workflows and exception handling protocols
Collaborate with the Product Manager to translate findings into actionable requirements
Measure post-implementation results to validate business value
Benefits
Opportunity to work at the intersection of AI and process improvement
Collaborative environment with cross-functional teams
Focus on continuous improvement and innovation
Potential for professional development in AI and process methodologies
Engagement in meaningful projects that impact business efficiency
Full Job Description
Job Description
The best AI solution starts with understanding the process.
We're looking for a Senior Business Process Analyst, Artificial Intelligence to help us determine where AI can make a difference, and where better process design is the answer. Reporting to the Director of Artificial Intelligence, you'll partner across URUS to understand workflows, uncover inefficiencies, establish performance baselines, and design better ways of working.
What You'll Do
Map and analyze end-to-end business processes, including handoffs, decisions, systems, data, and exceptions.
Establish performance baselines around cycle time, cost, quality, errors, and rework.
Use root cause analysis to identify opportunities to simplify, standardize, redesign, or eliminate work.
Evaluate where generative AI, AI agents, machine learning, automation, or traditional process improvement are the right fit.
Design future-state workflows, business rules, human review points, and exception handling.
Partner with the Product Manager, AI, to translate process findings into requirements and measurable outcomes.
Measure results after implementation to validate business value.
Build repeatable process improvement methods and standards across URUS.
What You'll Bring
Relevant experience in business analysis, process improvement, operations consulting, or a related field.
Experience redesigning end-to-end processes using Lean, Six Sigma, BPMN, or similar methods.
Strong root cause analysis and process measurement experience.
Experience supporting an AI, machine learning, or intelligent automation initiative.
Working knowledge of generative AI, AI agents, predictive models, and RPA.
Experience using SQL, Excel, Power BI, or similar tools to analyze process performance.
Strong facilitation and communication skills across front-line employees and senior leaders.
Nice to Have
Lean Six Sigma or CBAP certification, process mining experience, Agile experience, or familiarity with tools such as Microsoft 365 Copilot, Claude, Databricks, Salesforce, or JD Edwards.
Agriculture or global business experience is also a plus.
Why This Role Matters AI can make a good process better. It can also make a broken process faster. If you're someone who naturally asks "Why do we do it this way?" and can use process expertise, data, and technology to build a better answer, we'd like to hear from you.
