> Markdown version of [/jobs/ext/4041265-head-of-business-systems-analysis-and-engineering](https://www.wearedevelopers.com/jobs/ext/4041265-head-of-business-systems-analysis-and-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Head of Business Systems Analysis and Engineering - **Company:** Andersen Software - **Location:** Austria (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Confluence, JIRA, Microsoft Azure, Business Process Model and Notation, Business Systems, Cloud Computing, Encodings, Database Queries, Systems Analysis, Microsoft Visio, Scrum Methodology, Systems Development Life Cycle, Lucidchart, Requirements Management, UML, Jama (Software), Google Cloud, Information Technology, Low-code, Figma, Restful APIs, Legacy Systems, Microservices - **Published:** October 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d1db9e4b817ee967 ## About the Role * Experience as a Lead Business Analyst for 5+ years. * Experience as a System Analyst with a solid understanding of IT system architecture. * Leading the QA/BA function on large-scale projects with 100+ team members and 5+ direct reports. * Practical experience in implementing and optimizing tools and processes, not just operating at the methodological level. * A combination of hands-on expertise and leadership - building the practice, mentoring, and owning the quality of the function. * Experience working in Enterprise environments, transformation initiatives, and centers of excellence. * Hands-on experience optimizing requirements processes and implementing automation tools (Jira, Confluence, BPMN, data-tools, etc.). * Deep knowledge of requirements analysis and management methodologies (BABOK, IIBA). * Strong modeling skills (BPMN, UML, ERD) and proficiency with tools (Enterprise Architect, Visio, Lucidchart, or equivalents). * Experience writing project documentation: BRD, SRS, User Stories, Acceptance Criteria. * Solid knowledge and practical experience applying Agile, Scrum, and Waterfall in cross-functional teams. * Understanding of REST API principles, microservice architecture, and integration solutions. * Experience participating in digital transformations within large enterprise companies. * Level of English - from Upper-Intermediate+ and above. Desired skills * Proven cases of implementing tools and methods for analysis process optimization (A/B testing, analytics, routine automation). * Certifications such as CCBA, CBAP, and PMI-PBA. * Experience with requirements management tools (Jira, Confluence, Azure DevOps, Jama, etc.). * Knowledge of UX/UI principles and experience with Figma or Sketch. * Experience working with cloud platforms (AWS, Azure, GCP). * SQL proficiency for data analysis. * Experience with high-load systems. ## Description * Developing and implementing business and systems analysis strategy for complex IT projects. * Defining and evolving the requirements management service: standards, processes, tools, and metrics. * Optimizing requirements-related workflows for various scenarios (greenfield development, legacy systems, off-the-shelf solutions, integrations) * Introducing AI tools and automation to improve analyst efficiency: reducing routine efforts, improving artifact quality. * Creating and maintaining documentation (BRD, SRS, User Stories, Use Cases, BPMN, UML, ERD). * Aligning functional and non-functional requirements with development, architecture, and business teams. * Embedding requirements analysis processes into end-to-end SDLC considering Agile, Waterfall, and hybrid methodologies. * Resolving complexities and conflicts in requirements processes: addressing inconsistencies, resistance to change, and skill gaps. * Managing and developing the analyst community: mentoring, training, implementing best practices. * Building and maintaining talent pools to grow domain-specific expertise among analysts. Supporting the requirements configuration * acceptance flow where feasible without developer involvement (low-code/no-code, BPM automation). * Assessing risks related to requirements elicitation and detailing and developing mitigation measures. * Designing and implementing AI assistants and models to support requirements analysis, traceability, consistency, and automatic artifact generation.