Business Analyst, AI Workflows

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ECI Software Solutions

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

🏢 Enterprise

🤝 B2B

💰 $21M Series C on 2002-02

SaaS • Enterprise • B2B

ECI Software Solutions is a provider of industry-specific ERP and business management software that helps manufacturers, distributors, building supply dealers, and office-technology businesses run and scale their operations. The company delivers cloud and AI-enabled SaaS platforms—including ERP, B2B eCommerce, CRM, business intelligence, and content/fulfillment tools—aimed at optimizing inventory, accounting, order management, service workflows, and analytics. ECI emphasizes configurable, vertical-focused solutions (e. g. , Ridder iQ, Horizon, Spruce, e-automate, EvolutionX, Cognytics) and enterprise-grade cloud services for small and mid-sized B2B customers worldwide.

📋 Description

• Map current-state workflows end-to-end across IT, Support, Finance, HR, and Engineering including the exceptions and edge cases that live in operators' heads, not in the documentation. • Conduct working sessions with process owners and frontline staff to capture tribal knowledge and convert it into rules, decision logic, and instructions that automation or agents can follow. • Gather requirements and write clear specifications that include success metrics, failure modes, and the exact human-in-the-loop checkpoints required for safe rollout. • Apply a triage methodology to every candidate workflow deterministic automation, agent-handled judgment, or humans-only and document the rationale so triage decisions are auditable. • Establish and maintain the baseline measurement behind ECI's AI workflow commitments so progress is reported on real numbers, not estimates. • Build the candidate-workflow portfolio against ECI's evaluation criteria: frequency, repeatability of decisions, context spread across systems, and measurable pain. • Implement automations directly in Salesforce Flow, low-code and no-code platforms (Power Automate, Zapier-class tools, internal Abacus capabilities), and emerging agentic AI tooling. • Write light scripting (Python, JavaScript, SQL) and integrate across SaaS systems via REST APIs and webhooks where no-code tooling does not reach. • Configure agent guardrails, evaluation prompts, and feedback loops; design for graceful failure when the agent is uncertain rather than for confident wrong answers. • Partner with Platform Engineering and Application teams to ship integrations safely on top of existing systems (Salesforce, Vonage, Workday, JSM) without forcing migrations. • Build the instrumentation that proves an automation is working logging, dashboards, and drift detection so shadow-mode and production performance can be compared on the same axes. • Maintain a clean, documented build inventory so any automation can be handed off, audited, or rolled back without tribal knowledge becoming the dependency we just removed somewhere else. • Run each workflow through a phased delivery model: sandbox build shadow mode (agent observes, humans decide) supervised production (agent acts, humans review) steady state. • Enforce human-in-the-loop discipline at every phase boundary; no automation moves to the next stage without measured evidence and an owner sign-off. • Own the regular progress reporting on AI workflow delivery, including which workflows shipped, the measured impact of each, and a credible forecast for the next quarter. • Coordinate with other technical resources when an AI workflow intersects an active Initiative M&A integration playbooks, platform consolidations, compliance projects.

🎯 Requirements

• 5+ years combined experience spanning business analysis, automation or low-code implementation, and project or program management. • Expertise in at least two of these areas is a must. • Demonstrated ability to map a cross-functional workflow end-to-end, including the exceptions and undocumented decision points, and produce a specification an engineer or an agent can act on. • Hands-on experience building automations in at least two of: Salesforce Flow, Power Automate, n8n, Zapier-class platforms, Claude Code, or comparable low-code tooling. • Direct experience shipping an automation or AI workflow to production with a measured before-and-after comparison not a pilot that lived only in UAT. • Disciplined project cadence: writes and runs status updates, holds phase gates, measures outcomes against committed numbers, and communicates risks early. • Strong communication skills with the ability to explain a workflow, a measurement, and a trade-off to both an engineering audience and an executive audience. • Comfort working across SaaS systems and integrating them via APIs; able to read documentation and prototype an integration without waiting for engineering support.

🏖️ Benefits

• Occasional domestic travel (up to ~10%) for working sessions with process owners and IT leadership