About
Infiterra's B2B SaaS platform helps IT Distributors and Managed Service Providers (MSPs) automate and grow their subscription business. With 100+ customers in 75 countries, we're recognized for innovation and global impactand we're just getting started. We foster a collaborative and growth-oriented culture, allowing you to be part of a dynamic, forward-thinking team. The role in a nutshell As a Business Analyst Lead (SaaS + AI Driven), you'll play a hands-on and strategic role, driving complex feature analyses while also mentoring and guiding the BA team. You'll bridge product vision with technical executioncapturing requirements, designing UACs, and ensuring cross-team alignmentwhile also championing the use of AI-powered workflows across the BA function. From backlog clustering to predictive modeling, you'll leverage AI not just to accelerate analysis, but to raise the overall quality and consistency of how we deliver business value. Your goal? To lead by example in requirements clarity, traceability, and process excellencewhile enabling the team to work smarter with AI-driven tools. You'll set the benchmark for requirements documentation, guide others through complex dependencies, and help the organization evolve toward more modular, scalable, and data-informed product decisions. Our Ideal Candidate Profile
You're a hands-on Senior BA ready to step into a lead role, blending analytical depth with the ability to guide others. You're as comfortable drafting UACs for a critical integration as you are coaching BAs on how to structure their stories or adopt AI in their workflow. You thrive in ambiguityable to simplify complexity, untangle dependencies, and keep the MVP mindset alive while thinking long-term. Most importantly, you're passionate about AI as an enabler for business analysis. You don't just experiment with toolsyou validate, refine, and embed their outputs into real delivery. Whether it's clustering a backlog, generating draft UACs, or interpreting predictive models, you know how to combine human judgment with machine-driven insights. You're a natural collaborator, fluent in both Greek and English, who communicates with clarity across business and technical stakeholders. You enjoy being the escalation point for tricky challenges, and you take pride in raising the bar for BA practicesnot only for yourself, but for the whole team. What You'll Do
Core Business Analysis (Hands-On) Analyze & prioritize business scenarios, balancing MVP focus with modular and scalable platform thinking Capture requirements in Jira & Confluence and draft epics, user stories, UACs, and edge-case scenarios. Write exemplary UACs, edge test flows, and business logic documentation for the most impactful or cross-domain initiatives. Lead analysis for high-impact initiatives (e.g., billing, provisioning, integrations, modularization, integrations). Facilitate communication across Scrum Teams, identify blockers, and drive SDLC alignment. Collaborate on architectural strategy, API evolution, and service refactoring for long-term viability Maintain end-to-end traceability from business case ? requirements ? delivery ? adoption. Leverage product usage data and customer success tools (e.g., ChurnZero) to drive data-informed backlog decisions. Leadership & Strategy Coach and mentor BAs across teams, improving requirement quality, UAC structure, traceability, and analytical practices. Act as the escalation point for complex analysis challenges and cross-team dependencies. Review and refine BA deliverables and provide constructive, context-aware feedback to ensure alignment with business and architectural goals. Partner with Product Owners and Architects to shape high value discovery initiatives, prioritize analysis tasks, and influence long-term platform strategy. Drive consistency in BA practices (UAC structure, documentation standards, process mapping) across squads. Design and maintain traceability frameworks across backlog, documentation, test cases, and business KPIs. Lead efforts in simplification, modularization, and domain clarityespecially in areas prone to coupling or tech debt Propose and track BA impact metrics, such as story rework rates, coverage of UACs, and cycle/lead-time from analysis to ready-for-dev. AI-Driven Enablement (Must-Have) Apply, oversee and improve AI-powered workflows to generate draft UACs, cluster backlog items, and create documentation scaffoldingvalidating and refining outputs for production readiness. Champion adoption of AI-powered tools across the BA function to increase speed, traceability, and accuracy while ensuring outputs are validated and aligned with platform vision. Coach BAs on interpreting ML outputs and integrating them into requirements. Build and maintain predictive models for churn, usage forecasting, anomaly detection, using Python or Azure ML Studio and operationalize insights into requirements and product decisions. Operationalise models via CI/CD (Azure DevOps pipelines) and monitor drift, retraining, and ROI metrics.
Languages
- English
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