Technical Business Analyst | Remote LATAM Only at Agentic Dream

Bogota, Capital District, RAP (Especial) Central, Colombia -

Full Time

Start Date

Immediate

Expiry Date

18 Sep, 26

Salary

0.0

Posted On

20 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Requirements Engineering, EARS, Gherkin, Data Modeling, Process Modeling, BPMN, UAT Planning, Data Profiling, Jira, Notion, English Proficiency, RAG, Vector Databases, API Specification, LLM Automation

Industry

IT System Custom Software Development

Description

The Technical Business Analyst is the bridge between ambiguous business intent and deterministic, buildable specifications for AvantoDev's data and agentic projects. Our platform turns Standard Operating Procedures into executable agent logic ("Code = SOP"), and that translation starts with you. You deconstruct messy business processes — quote-to-install workflows, document-processing pipelines, master-data validation rules — into precise requirements that data engineers and AI engineers can implement and test. This is not a "write user stories in Jira" role. You will own Spec-Driven Development (SDD) artifacts end-to-end: EARS-formatted requirements, Gherkin acceptance scenarios that define "Definition of Done" for probabilistic agents, data dictionaries and schema specifications, source-to-target mappings, and the business-rule catalogs that become guardrails. You sit at the center of high-entropy data work — defining what "correct" means for a PO, an ACK, an invoice, or a tenant-specific discount rule — and you make sure the rest of the team builds the right thing. You'll work closely with the Head PM (Carlos Cedeño), the Head Product Manager (Rey Ramirez), data and AI engineers, and stakeholders across the business, translating in both directions: business → spec, and technical complexity → stakeholder-friendly explanation. This role is 100% remote but only open to candidates based in Latin America (LATAM). Applications outside this region will not be considered. Requirements & Spec-Driven Development Deconstruct complex business processes and user stories into EARS-formatted requirements (Easy Approach to Requirements Syntax) that are unambiguous, testable, and traceable. Author Gherkin scenarios (Given/When/Then) that define the "Definition of Done" — including for non-deterministic agent behavior, where you specify the logic path, not just the output. Maintain the Master Contextual Package (MCP) traceability: every requirement maps to a business need and to the agent/pipeline logic that implements it. Data Specification & Analysis Build and maintain data dictionaries, schema specifications, and source-to-target mappings for the Bronze → Silver → Gold pipeline and the PostgreSQL schema registry. Define field-level validation rules, tolerances, and alias dictionaries (e.g., "Qty Shipped" → quantity) that drive the Schema Matching and validation MCP servers. Profile source data, quantify data-quality issues, and write the acceptance criteria for data-quality gates and cross-field validation (e.g., line items sum to total). Business-Rule & Guardrail Catalogs Translate business policy into structured, machine-consumable business-rule definitions (discount limits, tax rules, workflow steps) and the guardrail specs that enforce them ("Block discount > 20%"). Maintain the knowledge-pack catalogs (business rules, guardrails, knowledge base) as living, versioned specifications. Process & Workflow Modeling Map current-state and future-state quote-to-install and document-processing workflows, identifying automation opportunities, HITL (Human-in-the-Loop) decision points, and exception paths. Define confidence-based routing rules with stakeholders (≥90% auto-approve, 60–89% review,

Responsibilities

Acts as the bridge between business intent and technical specifications for data and AI agent projects. Responsible for creating EARS-formatted requirements, Gherkin scenarios, and detailed data mappings to guide engineering teams.