Lead Business Analyst

ppVector8 is growing and we are looking for a Lead Business Analyst who combines analytical precision, client leadership, and technical depth. /p pYou will act as the vital link between business stakeholders and SMEs, and technical teams, translating the complex needs of businesses and their customers, into tangible, value led outcomes with AI at the core of the solution. /p h3Job Requirements /h3 ul li5+ years of experience in Business Analysis or Requirements Engineering within a tech-enabled environment (Consulting experience is a strong plus). /li liSolid grasp of Agile methodologies (Scrum, Kanban /SAFe); certification (e.g., CSPO, PSPO) is a plus. /li liStrong communication skills with the ability to simplify complex technical concepts for business stakeholders and vice versa. /li liAnalytical skills: Confident and capable in running workshops and asking questions, to gather requirements at a low level of detail, maintaining engagement and utilising a range of BA techniques /li liTechnical Literacy: Ability to understand data models, API specifications, and recognise the importance of data quality to the success of a solution /li liFluent in German and English; French is a plus. /li liFamiliarity with the Swiss enterprise environment, ideally with a network or domain knowledge in Banking or Insurance. /li liFormal BA certification (e.g., IREB, CBAP, or CCBA) is beneficial. /li liDegree in Business Informatics, Computer Science, Economics, or a related field. /li liComfortable working onsite with clients when needed, primarily within Switzerland. /li /ul h3What You Can Expect /h3 ul liThe opportunity to architect the logic behind AI transformations for leading companies in the Swiss insurance and financial sectors. /li liAccess to cutting-edge AI technologies (LLMs, Generative AI, Predictive Models) where your analysis directly influences product design. /li liA dynamic and collaborative work environment where your contributions directly drive our growth and success. /li liA supportive team culture that prioritizes continuous learning, professional development, and personal growth. /li liA leadership ethos focused on empowering people and fostering collaboration, excellence, authenticity, and diversity. /li liA lean and agile organization that values and incentivizes entrepreneurial spirit and innovative thinking.A competitive salary package with a variable performance component, 25 days of vacation, training budgets, and a flat hierarchy. /li /ul h3Job Responsibilities /h3 ul liClarifying the Vision: Work with businesses to understand the problem they are trying to solve, and establish what is causing this, so that appropriate solutions can be identified. /li liRequirements Engineering: Lead the elicitation, analysis, and documentation of requirements (functional non-functional) for complex AI and data projects. /li liProcess Data Modeling: Analyze current state (AS-IS) processes and design future state (TO-BE) data-driven workflows using industry standards (e.g., BPMN). /li liUser Focus: Keep the user at the heart of requirements working closely with UX and taking part in UR, when relevant. /li liBridge Business Tech: Act as the primary translator between business stakeholders and data scientists/engineers, ensuring technical deliverables match business intent. /li liSolution Shaping: Collaborate with Tech Leads and Architects to define solution designs, focusing on user needs, feasibility, suitability all while balancing costs with the expected benefit. /li liData Analysis: Perform exploratory data analysis and data profiling to assess quality and feasibility before development begins. /li liBacklog and Scope Management: Own the product backlog in agile setups; write high quality, comprehensive user storiesand manage prioritization. Control scope and negotiate as needed to protect delivery. /li liTesting Validation: Support the QA phase by validating model results against business metrics and coordinating User Acceptance Testing (UAT). /li liAdoption Support: Help train clients in new software and processesand provide user guides,ensuring successful adoption /li liPre-Sales Support: Contribute to proposals by identifying high-value use cases, scoping requirements, and estimating analytical efforts. /li liMethodology: Continuously improve BA best practices (templates, workshops, documentation standards) within the company. /li /ul h3Job Benefits /h3 ul liCompensation rewards: Competitive base salary with a variable performance-based bonus /li liWork environment: Modern office in the heart of Zurich with access to an on-site gym, sports classes (yoga, pilates, spinning) and healthy snacks /li liFlexibility: Hybrid working model — balance remote work with in-office collaboration /li liLearning growth: Ongoing investment in your professional development, with clear opportunities to take on leadership /li liParental leave: 16 weeks fully paid maternity leave, with a flexible 50% return-to-work option in the first month (while receiving full salary) and 4 weeks fully paid leave for the second parent /li liTravel mobility: Paid Halbtax travel card to support sustainable commuting /li liTeam culture: Join a diverse, international team across 5 locations, with regular team events and opportunities for cross-border collaboration /li liRecognition rewards: Attractive referral bonuses for both candidate and client conversions. /li liOur values: A culture grounded in inclusivity, curiosity, ownership, and collaboration — where your ideas shape the future of AI consulting /li /ul /p #J-18808-Ljbffr