[Remote] Technical Business Analyst | Remote LATAM Only

Note: The job is a remote job and is open to candidates in USA. Agentic Dream is seeking a Technical Business Analyst to bridge the gap between business intent and actionable specifications for their data projects. The role involves deconstructing complex business processes into clear requirements, collaborating with various stakeholders, and ensuring that data solutions are built correctly. Responsibilities include authoring specifications, maintaining data dictionaries, and running requirements workshops.ResponsibilitiesDeconstruct complex business processes and user stories into EARS-formatted requirements (Easy Approach to Requirements Syntax) that are unambiguous, testable, and traceableAuthor 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 outputMaintain the Master Contextual Package (MCP) traceability: every requirement maps to a business need and to the agent/pipeline logic that implements itBuild and maintain data dictionaries, schema specifications, and source-to-target mappings for the Bronze → Silver → Gold pipeline and the PostgreSQL schema registryDefine field-level validation rules, tolerances, and alias dictionaries (e.g., "Qty Shipped" → quantity) that drive the Schema Matching and validation MCP serversProfile 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)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 specificationsMap current-state and future-state quote-to-install and document-processing workflows, identifying automation opportunities, HITL (Human-in-the-Loop) decision points, and exception pathsDefine confidence-based routing rules with stakeholders (≥90% auto-approve, 60–89% review, Run requirements workshops and translate technical complexity (why an automation is risky, costly, or non-deterministic) into language non-technical stakeholders can act onOwn UAT planning and acceptance: build test cases from the Gherkin specs, coordinate sign-off, and verify delivered work matches the specProduce operational reporting specs — defining the metrics (throughput, accuracy, cost-per-document, net savings) and dashboards the business needsRun discovery sessions with business stakeholders and engineers; produce EARS requirements, Gherkin acceptance criteria, and data mappingsWrite SQL queries to profile and validate data, quantify edge cases, and back requirements with evidence (not assumptions)Maintain the requirements backlog and traceability matrix in Jira (project SDB) and NotionPartner with Data Engineers on schema/registry specs and source-to-target mappingsPartner with AI Engineers to define agent behavior, tool contracts, and the "Definition of Done" for probabilistic outputsWork with the PM team to scope sprints, estimate, and sequence deliveryBuild and execute UAT test cases from the specs; document defects with clear reproduction stepsValidate that delivered pipelines and agents meet acceptance criteria before releaseMaintain decision logs and ADR-style records of requirement changesSkills5+ years as a Business Analyst / Technical BA, with 3+ years on data-intensive projects (data platforms, integrations, analytics, or document/IDP processing)Strong SQL — able to independently profile data, validate hypotheses, and write moderately complex queries against PostgreSQL or similarDemonstrated requirements engineering skill — user-story decomposition, acceptance criteria, and at least one formal technique (EARS, BDD/Gherkin, use cases, or equivalent)Data modeling literacy — able to read and contribute to data dictionaries, schema specs, ER diagrams, and source-to-target mappings. Understands normalized vs. denormalized models conceptuallyProcess modeling — BPMN or equivalent; mapping current/future-state workflows and identifying automation and exception pathsFamiliarity with the modern data & AI stack — understands what RAG, vector databases, APIs/microservices, and LLM-based automation are and where they fit (you don't have to build them, but you must spec for them)Tooling — Jira, Confluence/Notion, and diagramming tools; comfortable maintaining traceability matrices and living documentationEnglish proficiency: B2+ required (C1 preferred). You'll facilitate workshops, write specs, and translate between business and technical audiences dailyExperience specifying agentic / LLM-driven systems — defining 'Definition of Done' for non-deterministic outputs and writing guardrail/policy requirementsHands-on with document/IDP projects — POs, ACKs, Invoices, schema/alias matching, confidence scoring, and HITL review workflowsFamiliarity with Spec-Driven Development (SDD) and the Model Context Protocol (MCP) conceptExperience writing YAML/JSON business-rule definitions or configuration-as-specLight scripting (Python) for data profiling and analysisBI/reporting spec experience (QuickSight, Power BI, Metabase)Background in commercial furniture, logistics, distribution, or manufacturing operationsDomain exposure to quote-to-install / order management processesCompany OverviewWe help enterprises become AI-native by embedding the operating model, culture, teams, and processes required to design, deliver, and scale AI-powered systems across the business. It was founded in 2013, and is headquartered in Fort Lauderdale, Florida, US, with a workforce of 51-200 employees. Its website is https://www.agenticdream.com/.