As a Senior Business Analyst (Data & AI), you will play a pivotal role in bridging the gap between business vision and technical execution. You will be responsible for clarifying complex business problems, capturing and managing high-quality requirements, project scopes, backlogs, and explicit acceptance criteria. In this role, you will act as a proactive driver, collaborating closely with cross-functional teams to ensure the successful and seamless delivery of strategic, high-impact Data & AI initiatives that deliver tangible business outcomes.
KEY RESPONSIBILITIES
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Requirement & Scope Management:
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Lead requirement elicitation, structured analysis, and clarification sessions with business units.
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Define and manage project scope; author, refine, and maintain comprehensive user stories, product backlogs, and explicit acceptance criteria.
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Technical Collaboration & Data Governance:
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Partner closely with Data Analysts (DA), Data Engineers (DE), and Data Scientists (DS) within Databricks / Lakehouse / Data Platform environments to ensure alignment between business needs and technical architecture.
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Project Operations & Delivery:
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Support and facilitate squads in operating smoothly under Agile/Scrum/Kanban methodologies to ensure on-time delivery.
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Utilize Jira, Confluence, or equivalent tools effectively for tracking progress and ensuring rigorous project documentation.
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Plan, coordinate, and lead the User Acceptance Testing (UAT) process.
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Stakeholder Management & Product Mindset:
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Engage, negotiate, and consult directly with high-level stakeholders (Heads/Leads) to align on strategic objectives.
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Act as a proactive driver with a strong product and data-driven mindset, ensuring all deliverables translate into tangible business outcomes.
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Note: This role demands high ownership and proactive leadership; it is strictly not suitable for profiles limited to note-taking or passive task-following.
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JOB REQUIREMENTS
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Professional Experience:
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Proven experience as a Business Analyst in data platform, data warehouse, analytics, BI, AI/ML, or digital transformation projects.
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Technical Knowledge:
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Good understanding of Databricks / Lakehouse / Data Platform ecosystems to collaborate effectively with technical teams.
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Mastery of requirement analysis, user story mapping, acceptance criteria definition, and UAT processes.
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Skills & Mindsets:
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Demonstrated capability to interact with and manage expectations of senior stakeholders (Heads/Leads).
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Strong product-oriented, data-driven, and business outcome-focused mindset.
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Proficiency in Jira, Confluence, or equivalent project management collaboration tools.
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Capability to support and guide delivery squads operating under Agile/Scrum/Kanban frameworks.
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- Competitive salary and performance-based bonuses
- “FPT Care” health insurance coverage
- International, dynamic, and friendly working environment
- Continuous opportunities to develop both professional and soft skills through projects and professional training programs.