Senior Business Analyst – AI Platform

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Software Mind

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

💰 Private Equity Round on 2020-12

Artificial Intelligence • SaaS • Telecommunications

Software Mind is a technology company that specializes in software development and digital transformation services. With a focus on AI and cloud solutions, the company offers a wide range of services including custom software development, mobile app development, and cloud consulting. Software Mind serves various industries such as financial services, telecom, biotech, and media, providing tailored solutions to accelerate digital transformations and business growth globally.

📋 Description

• Lead discovery sessions and SME alignment workshops; produce structured requirements and integration assumption documentation • Define data ingestion scope: folder selection, corpus boundaries, PII classification requirements, and tenant governance rules • Translate expert-weighting business logic into specifications for the retrieval and ranking layer • Author and maintain the accuracy rubric framework used for SME validation • Write and validate user stories (INVEST-compliant) with acceptance criteria tied to delivery milestones • Produce and maintain schema documentation for the data processing pipeline • Facilitate query clustering analysis to prioritise accuracy tuning work • Bridge between client Designated Expert input and the engineering team's implementation backlog • Maintain requirements traceability across Jira and Confluence throughout all phases

🎯 Requirements

• 6+ years as a Business Analyst on software delivery projects; senior seniority required • Proven ability to translate complex business needs into structured, developer-ready requirements (user stories, use cases, acceptance criteria) • Strong data literacy: ability to reason about document structures, metadata schemas, and classification logic • Experience eliciting requirements from domain SMEs and translating them into implementable specifications • Proficiency with user story authoring, backlog management, and acceptance criteria definition in agile environments • Excellent written and spoken English direct engagement with client stakeholders is expected • AI Experience (Required Not Optional) At least one project involving requirements definition or evaluation design for a production AI/ML or NLP system • RAG, search, classification, recommendation, or similar • Ability to define evaluation criteria and accuracy rubrics for AI system outputs not just functional requirements • Understanding of LLM behaviour, grounding, hallucination risk, and retrieval relevance trade-offs at a conceptual level sufficient to write testable acceptance criteria • Experience bridging between domain subject-matter experts and AI/ML engineering teams

🏖️ Benefits

• Employees can work remotely