Business Analyst

Location

Red Bluff, CA (Onsite) Full time Candidates will only be considered that are local within 1 hour of Red Bluff.

A well-capitalized, operations-driven organization is seeking a Business Systems & AI Enablement Lead to sit at the intersection of business operations, process design, and applied AI/automation. This is a newly created role with a mandate to eliminate inefficient processes, reduce manual work, and scale effective systems across multiple operating entities.

This is not an IT role. It is a business solutions role designed for someone who deeply understands how finance, accounting, HR, payroll, procurement, and operations function in practice — and who can leverage AI, automation, and workflow design to materially improve how work gets done.

The role owns continuous improvement across business processes, with clear accountability for cycle-time reduction, data quality, and measurable efficiency gains.

• Map and evaluate existing workflows across accounting, HR, payroll, procurement, and operations
• Identify waste, redundancy, manual handoffs, and organizational friction
• Redesign processes with a bias toward elimination over optimization
• Develop standardized, scalable procedures that work across multi-entity environments
• Serve as an internal authority on process quality and operational efficiency

• Identify, evaluate, and deploy AI tools, copilots, agents, and automation platforms
• Build AI-assisted workflows for high-frequency processes (close, reporting, onboarding, compliance, reconciliation)
• Create and maintain prompt libraries, templates, and automation scripts usable by non-technical staff
• Translate AI capabilities into practical, value-driving applications (not experimentation for its own sake)

• Work across ERP, HRIS, payroll, fleet, and project accounting systems to improve data flow and accuracy
• Design import/export pipelines and standardized data formats
• Own data quality initiatives, addressing root causes upstream and building validation guardrails
• Reduce rekeying, rework, and downstream errors

• Train and support process owners on new tools, workflows, and AI capabilities
• Drive adoption through demonstrated ROI and quick wins, not mandates
• Communicate directly with leadership on progress, blockers, and resource needs

• Define success metrics for each initiative (cycle time reduction, error rates, hours saved, cost per transaction)
• Report quarterly on delivered improvements and pipeline initiatives
• Target elimination or material improvement of at least one legacy process per quarter