Job Description
The Senior Business Analyst acts as a bridge between business requirements and AI technology, identifying opportunities for AI-driven solutions, collaborating with stakeholders, and ensuring alignment of AI projects with business objectives.
Responsibilities
- Agentic Flow Architecting & Implementation: Spearhead the development of AI-driven "agentic flows" that streamline decision-making and automation within complex systems. Deliver robust, end-to-end solutions that integrate seamlessly with existing tech stacks, driving efficiency, scalability, and innovation in enterprise environments.
- Requirement Gathering: Collaborate closely with cross-functional stakeholders to understand business needs, identify bottlenecks, and uncover fresh AI implementation opportunities that drive innovation and efficiency. And value-add to business users by proposing re-designed workflows enabled by such AI initiatives after initial development of MVP (Minimum Viable Product).
- Solution Design: Architect and implement AI solutions, ensuring alignment with business requirements and stakeholder expectations.
- Collaboration: Work with data scientists, engineers, and business users, fostering a cohesive environment where AI solutions are integrated seamlessly.
- AI Strategy Development: Keep a pulse on emerging AI trends, cutting-edge tools, and industry best practices. Proactively recommend transformative applications of AI to maintain a competitive edge in the market.
- Project & Process Management
- Project Coordination: Own the end-to-end management of AI projects, from scope definition to final delivery. Maintain detailed project plans and ensure cross-functional teams stay on track.
- Stakeholder Communication: Present complex AI concepts in digestible formats for leadership and non-technical audiences, fostering buy-in and transparency across the organization.
- Risk Assessment: Identify potential challenges in AI adoption - such as data quality, model drift, or regulatory constraints and craft mitigation strategies to keep initiatives on course.
Job Requirements
- Bachelor's degree in Computer Science, Data Science, Business Analytics, or a related field.
- Candidates with Diplomas in relevant fields and strong industry experience may be considered.
- Minimum 1-3 years of relevant work experience in business analysis, data analytics, or AI-driven solutions.
- Candidates with lesser years of experience will be considered for the Senior Business Analyst position instead.
- Experience leading cross-functional AI projects is a plus.
- Programming: Proficiency in Python, and relevant big data tools.
- Prompt Engineering:Proficiency in prompt engineering, and agentic workflow.
- AI models: Good understanding of existing models and its areas of application, with a proven ability to implement these solutions.
- Strong Communication & Presentation: Ability to simplify technical concepts for non-technical stakeholders.
- Problem-Solving & Analytical Thinking: Capability to break down complex business problems and propose AI solutions.
- Collaboration & Teamwork: Work effectively across departments, facilitating AI adoption.
- Project Management: Familiarity with Agile/Scrum methodologies.
- Adaptability & Learning: Stay updated with evolving AI technologies.
- While certifications are not mandatory, the following are highly valued:
- Entry-level business analysis certifications (e.g., from recognized professional bodies such as IIBA or PMI)
- Foundational or advanced AI/ML certifications (e.g., reputable online course providers or professional organizations