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Senior Business Analyst (Intelligent Automation)

Hybrid, Polska
EPAM
Partner
5d
Wynagrodzenie do ustalenia
Pełny etat • Hybrydowa • IT, Data i AI

Najważniejsze cechy oferty

  • Min. 3 lata doświadczenia

  • Pełny etat

  • Model hybrydowy - część pracy zdalnie

Description

We are seeking a Senior Business Analyst to join our Intelligent Automation practice to lead complex enterprise transformations through advanced automation solutions and modern AI technologies within innovative, fast-paced project environments. Responsibilities End-to-End Solution Ownership: Lead the requirements lifecycle for complex enterprise projects - eliciting, prioritizing, and translating ambiguous business needs into robust functional specifications Trusted Advisor: Act as the primary consultant to client stakeholders (up to C-level), facilitating high-stakes workshops and managing competing priorities Process & SDLC Leadership: Partner with Architects and Tech Leads to design 'To-Be' workflows (human, RPA, or AI-driven) and ensure deliverables align with business goals AI & Automation Strategy: Drive use case discovery and engineer comprehensive requirements for advanced intelligent solutions (e.g., GenAI, LLMs, RAG architectures) Continuous Innovation: Proactively expand expertise in emerging AI technologies through advanced training and professional certifications Requirements Experience: 3+ years of proven experience in business analysis within global, agile IT services or consulting environments Core BA Mastery: Deep expertise in BA frameworks (e.g., BABOK), advanced elicitation, traceability, and modeling (BPMN/UML, Jira, Visio, etc.) SDLC & Tech Fluency: Solid ability to bridge the gap between business and technical teams across diverse projects (from classic web/backend delivery to automation) Communication: Advanced negotiation and presentation skills. English B2+ minimum Strategic Mindset: Structured, data-driven approach to solving complex enterprise challenges in environments with high ambiguity AI Fluency: Hands-on experience or deep theoretical knowledge of Generative AI and foundational architectures (e.g., LLMs, RAG modeling, system prompt engineering, and AI validation) Nice to have UiPath Expertise: Foundational certifications (e.g., Automation Business Analyst Associate) or hands-on experience will be considered a major advantage Prototyping: Experience with Figma or similar tools to collaborate in visualizing solutions Innovation Mindset: Active interest in exploring cutting-edge AI trends, emerging tools, and modern development methodologies

Requirements

  • Experience: 3+ years of proven experience in business analysis within global, agile IT services or consulting environments

  • Core BA Mastery: Deep expertise in BA frameworks (e.g., BABOK), advanced elicitation, traceability, and modeling (BPMN/UML, Jira, Visio, etc.)

  • SDLC & Tech Fluency: Solid ability to bridge the gap between business and technical teams across diverse projects (from classic web/backend delivery to automation)

  • Communication: Advanced negotiation and presentation skills. English B2+ minimum

  • Strategic Mindset: Structured, data-driven approach to solving complex enterprise challenges in environments with high ambiguity

  • AI Fluency: Hands-on experience or deep theoretical knowledge of Generative AI and foundational architectures (e.g., LLMs, RAG modeling, system prompt engineering, and AI validation)

Responsibilities

  • End-to-End Solution Ownership: Lead the requirements lifecycle for complex enterprise projects - eliciting, prioritizing, and translating ambiguous business needs into robust functional specifications

  • Trusted Advisor: Act as the primary consultant to client stakeholders (up to C-level), facilitating high-stakes workshops and managing competing priorities

  • Process & SDLC Leadership: Partner with Architects and Tech Leads to design 'To-Be' workflows (human, RPA, or AI-driven) and ensure deliverables align with business goals

  • AI & Automation Strategy: Drive use case discovery and engineer comprehensive requirements for advanced intelligent solutions (e.g., GenAI, LLMs, RAG architectures)

  • Continuous Innovation: Proactively expand expertise in emerging AI technologies through advanced training and professional certifications

Seniority

  • Senior

Nice to have

  • UiPath Expertise: Foundational certifications (e.g., Automation Business Analyst Associate) or hands-on experience will be considered a major advantage

  • Prototyping: Experience with Figma or similar tools to collaborate in visualizing solutions

  • Innovation Mindset: Active interest in exploring cutting-edge AI trends, emerging tools, and modern development methodologies

Słowa kluczowe / Umiejętności

RPA Engineering
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