Business Analyst, AI Workflows

Location: US - Remote

EST/CST Business Hours

Global ITs Project Management Office runs ECIs strategic delivery portfolio M&A integrations platform consolidations compliance programs and the cross-cutting initiatives that ride across every function. AI-enabled efficiency is one of the most important arcs of work on that portfolio and we are investing in dedicated execution capacity to match the opportunity.

We believe AI transformation is built not bought. The work that creates lasting value isnt the tool selection its mapping the workflow end-to-end capturing the tribal knowledge that lives in peoples heads and then designing building and running the solution alongside the teams who own the work. That requires a different shape of role than the traditional separation of Business Analyst developer and Project Manager because the handoffs between three specialists are where momentum and context tend to be lost.

The Business Analyst AI Workflows is that integrator. The role sits inside IT PMO partners across Platform Engineering Applications Support HR and Finance and is accountable for translating ECIs AI strategy into a real portfolio of measurable shipped automations that serve our customers and our teams.

Key Focus Areas

Workflow Discovery & Analysis (Business Analyst): Inventory ECIs highest-effort manual workflows end-to-end capture the tribal knowledge inside them and sort each workflow into deterministic automation agent-handled judgment or humans-only work.

Hands-On Build (Builder): Implement automations directly using low-code no-code and agentic AI tooling Salesforce Flow internal AI platforms light scripting translating specifications into running solutions rather than handing them off.

Phased Delivery & Measurement (Project Manager): Run each automation through a disciplined sandbox shadow supervised-production progression with human-in-the-loop checkpoints and own the measurement story against ECIs AI workflow delivery commitments.

Key Responsibilities

As a Business Analyst

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 ECIs AI workflow commitments so progress is reported on real numbers not estimates.

Build the candidate-workflow portfolio against ECIs evaluation criteria: frequency repeatability of decisions context spread across systems and measurable pain.

As a Builder

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.

As a Project Manager

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.

Partner with process owners across functions to land each automation with the people who do the work they are the success criteria not a downstream consumer.

Maintain a single source of truth for the workflow portfolio (status phase baseline current measurement next checkpoint) and surface it on a recurring cadence to the IT leadership group.

Required Qualifications

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 tradeoff 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.

Preferred Qualifications

Experience with Salesforce administration and Salesforce Flow at scale.

Hands-on work with agentic AI tooling (LLM-backed assistants Salesforce Agentforce internal copilots MCP-style integrations) including the operational reality of guardrails evaluation and failure modes.

SQL fluency; light Python or JavaScript scripting; familiarity with REST APIs and webhooks.

Familiarity with ITIL service-management practices or PMP-style project disciplines.

Prior experience inside a serial-acquirer or multi-business-unit software company where workflows differ meaningfully between business units.

How Youll Succeed (12-Month Outcomes)

By the end of your first year this role will be measured against:

A complete prioritized inventory of ECIs highest-effort manual workflows (completed in the first 3 months).

A defensible baseline measurement methodology established for AI workflow delivery approved by IT leadership (i.e. how we will measure success of what we are building).

68 workflows live in shadow mode with instrumented before-and-after metrics.

4 workflows live in supervised production with measured manual-effort reduction against baseline.

A quarterly report to IT leadership accounting for AI workflow delivery what shipped what it moved what is next.

Reports To / Works With

Reports to: IT PMO Leadership.

Partners closely with: Platform Engineering leadership the PMO team and process owners across Support Finance HR and Engineering.

Engages with: IT leadership on quarterly Strategic Program reviews of AI workflow delivery.

What This Role Is NOT

This is a new role for IT so to clarify what we are not looking for:

Not a strategy-only consultant. The deliverables are working automations not a slide deck recommending them.

Not a pure Business Analyst who writes specs and hands off. The same person who maps the workflow is expected to build the first version of the automation.

Not a backend software engineer. This role uses low-code no-code and agentic platforms by design. Production-grade custom engineering belongs to Platform and Engineering teams.

Not a Project Manager running ceremonies. This role delivers phase gates measurement and shipped workflows are the cadence; status meetings are a byproduct not the work.

ECI Culture & Values

We are industry experts supporting the entrepreneurial spirit and profitable growth of small and medium-sized businesses. Our culture is built on four core values

CODE: Crave Greatness Own the Outcome Deliver Awesome Embrace Community.

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

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