Business Analyst, AI Workflows

ECI Software Solutions

Business Analyst focused on AI workflows in the IT PMO team at ECI Software Solutions. Responsible for workflow automation and project management in a cross-functional environment.

Posted 7/10/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

JavaScriptPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

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Hard Skills & Tools

Business AnalysisProject ManagementSpecification WritingLight ScriptingDecision Logic

Soft Skills

Strong CommunicationCollaborationRisk Management