Job Description

We work alongside industry leaders to drive the future of next-generation payment technologies and solutions. Together with our clients, we transform payments into a competitive advantage, enabling businesses to reach uncharted growth and scale. Our client is a premier payment platform that moves payments closer to invisible, supporting and strengthening the payment capabilities of merchants and software partners.

Requirements

- Document requirements for data processes, platform capabilities, and APIs, translating business goals into user stories and functional, non-functional (e.g., performance, security, data quality, retention, auditability), and technical specifications with testable acceptance criteria
- Leverage AI-enabled tools to accelerate requirements development and business process documentation (current- and future-state flows), owning the accuracy, completeness, and traceability of the output
- Perform exploratory data analysis and collaborate with business and technical teams to inform design, including data modeling and schema design, guided by the Director, Data Solutions
- Develop data mappings (source-to-target, transformation rules, definitions) with AI-enabled tools, with human review before handoff to engineering
- Identify data quality, lineage, and availability needs, including data readiness for AI and analytics use cases

Job Responsibilities

The Technical Business Analyst, Data Solutions is a creative problem solver and a consultative,product-minded partner to the business and to the teams that build our data platform. Ratherthan simply capturing requirements,



you help shape them — turning business intent into well-defined data and API solutions that Data Engineering and AI Engineering can build withconfidence — and you leverage AI-enabled tools for requirements evelopment, businessprocess development, data mapping, and troubleshooting and triage, validating what they produce.

- Partner with business stakeholders on goals, constraints, and success criteria, proposing solution options and tradeoffs before requirements are finalized
- Facilitate discovery and design sessions as a subject matter expert in business processes and data, surfacing risks, dependencies, and downstream impact early
- Contribute to roadmap planning with Product Management, supporting the Director, Data Solutions (roadmap owner), and coordinate change activities — impacts, dependencies, communication, and readiness — for your initiatives

ESSENTIAL DUTIES:

Business Partnership & Discovery

Facilitate discovery and design sessions as a subject matter expert in business processes and data, surfacing risks, dependencies, and downstream impact early

Contribute to roadmap planning with Product Management, supporting the Director, Data Solutions (roadmap owner), and coordinate change activities — impacts, dependencies, communication, and readiness — for your initiatives

Requirements, Analysis & Solution Design

- Document requirements for data processes, platform capabilities, and APIs,



translatingbusiness goals into user stories and functional, non-functional (e.g., performance,security, data quality, retention, auditability), and technical specifications with testable acceptance criteria
- Leverage AI-enabled tools to accelerate requirements development and businessprocess documentation (current- and future-state flows), owning the accuracy,completeness, and traceability of the output
- Perform exploratory data analysis and collaborate with business and technical teams to inform design, including data modeling and schema design, guided by the Director, DataSolutions
- Develop data mappings (source-to-target, transformation rules, definitions) with AI-enabled tools, with human review before handoff to engineering
- Identify data quality, lineage, and availability needs, including data readiness for AI and analytics use cases

Agile Delivery & Execution

- Author and refine user stories, acceptance criteria, and specifications, partnering withthe Agile Delivery Manager and Product Management to keep the backlog ready forplanning
- Participate in Scrum ceremonies led by the Agile Delivery Manager, providing scope,dependency, and readiness input and flagging risks early
- Maintain traceability from business intent through release, working in line with the AIDevelopment Life Cycle (AIDLC) where applicable

Quality, Validation & Troubleshooting

- Validate acceptance criteria and delivered work against business intent and dataaccuracy, supporting UAT, release planning, and post-deployment validation
- Validate AI-assisted output for accuracy, completeness, and sensitive-data handling, percompany policies on data security and responsible AI us

📌 Technical Business Analyst (Buenos Aires)
🏢 Hitachi
📍 Buenos Aires