Business Systems & AI Enablement Lead

Location: Red Bluff, CA (Onsite) Full time

Position Overview

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.

Core Responsibilities

Process Discovery & Redesign

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

AI & Automation Deployment

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)

Systems Integration & Data Quality

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

Stakeholder Enablement

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

Measurement & Accountability

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

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