Sr. Business Analyst, AI & Data

Job description

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Business Analyst, AI & Data based in Brazil.** This role sits at the intersection of business strategy, data, AI, and digital transformation. You’ll work directly with executives, business leaders, and technical teams to uncover complex challenges and translate them into actionable solutions. You’ll shape projects from discovery and process design through experimentation, implementation, and measurable outcomes. The role requires you to understand how AI, GenAI, data, and automation can address real business needs while keeping people and processes at the center. You’ll operate in a remote-first consulting environment where ambiguity, ownership, and strategic thinking are valued. As a trusted advisor, you’ll help clients navigate transformation while ensuring technology investments generate meaningful business value. You’ll also contribute to an AI-enabled business analysis practice by using modern tools to accelerate analysis, documentation, and solution design. ### Accountabilities - Lead executive and stakeholder interviews, workshops, and discovery sessions to uncover root-cause business problems and establish project vision, scope, priorities, and success metrics. - Understand enterprise strategies and translate them into clear business outcomes and technology priorities. - Map current-state and future-state value streams and business processes, identifying bottlenecks, inefficiencies, and opportunities for automation or AI augmentation. - Assess opportunities for full automation versus human-in-the-loop workflows and quantify potential benefits such as reduced cycle times, fewer errors, increased capacity, and improved customer satisfaction. - Elicit, analyze, and document functional and non-functional requirements, user stories, acceptance criteria, business rules, decision logic, and user journeys for data, AI, ML, and GenAI solutions. - Define data requirements, including data sources, quality, latency, privacy constraints, and other considerations needed to support successful solutions. - Specify AI and model-related requirements, including expected behavior, guardrails, explainability, auditability, human oversight, performance, and service-level expectations. - Navigate complex organizational structures and competing priorities to build consensus and maintain alignment among stakeholders. - Support PoCs, pilots, experimentation, and rollout activities, including test design, feedback loops, training, communications, and updates to standard operating procedures. - Partner with architects and development teams to ensure proposed solutions address business needs and oversee User Acceptance Testing (UAT). - Maintain ownership of the quality and readiness of business analysis deliverables while coaching and mentoring project team members. - Track project outcomes and ensure continued alignment between business objectives, implementation decisions, and success metrics. - Use Generative AI tools and agentic technologies to accelerate research, analysis, documentation, synthesis, and solution design while critically validating outputs. - Build and maintain strong client relationships, serving as a trusted advisor throughout data and AI transformation initiatives. - Contribute reusable business analysis frameworks, templates, artifacts, and best practices across projects. ## Requirements - 6+ years of experience in business analysis or product development, ideally within data, analytics, technology, or AI-driven environments. - 4+ years of experience working in a client-facing consulting environment. - Demonstrated ability to facilitate executive interviews, stakeholder workshops, and discovery sessions across multiple business domains and organizational levels. - Strong ability to transform ambiguous business needs into structured requirements, user stories, process models, and actionable solution concepts. - Exceptional written, verbal, and presentation skills, with the ability to explain complex data, AI, and technology concepts clearly to non-technical stakeholders. - Strong understanding of Agile delivery methodologies and experience with tools such as Jira, Azure DevOps, Confluence, Visio, or equivalent platforms. - Hands-on experience using AI or Generative AI tools to improve business analysis and client delivery activities. - Understanding of data, analytics, AI/ML, GenAI, automation, and their application to business transformation. - Familiarity with organizational adoption and change management practices, as well as established strategy and transformation frameworks. - Strong analytical and problem-solving capabilities, with a natural curiosity for understanding the underlying “why” behind business challenges. - Comfortable operating in ambiguous environments where requirements and solutions evolve through discovery and experimentation. - Proven ability to coach and mentor colleagues and contribute to the development of reusable business analysis assets. - Strong stakeholder management skills, with the ability to build trust, facilitate alignment, challenge assumptions, and influence decisions. - Ability to connect business objectives, technical possibilities, implementation realities, and measurable outcomes. ## Benefits - Remote-first work environment in Brazil. - Opportunity to work on complex data, AI, and digital transformation initiatives with enterprise clients. - High degree of ownership and autonomy in client-facing projects. - Exposure to modern AI and Generative AI technologies and tools. - Collaborative environment spanning business, data, AI, architecture, and engineering disciplines. - Opportunities to develop strategic consulting, stakeholder management, and transformation expertise. - Inclusive workplace committed to diversity and equal opportunity. - Opportunities to contribute to reusable methodologies, frameworks, and best practices. - Work alongside experienced professionals in a fast-growing data and AI consulting environment.