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Lead Business Analyst – AI, GenAI & Data

NTT Singapore Pte. Ltd.

Role Description

Business Analysis & Requirements Management

• Lead requirements gathering and analysis for AI, GenAI and data-related initiatives.
• Engage business and technology stakeholders to understand business problems, objectives and expected outcomes.
• Translate business requirements into user stories, functional specifications, process flows and acceptance criteria.
• Conduct gap analysis, feasibility assessments and impact analysis.
• Facilitate workshops, stakeholder interviews and requirement validation sessions.
• Work closely with technical teams throughout solution design, development, testing and implementation.

AI, GenAI & Data Use Cases

• Identify and assess high-value AI, GenAI, NLP, predictive analytics and data analytics use cases.
• Evaluate business value, feasibility, risks and implementation considerations for proposed AI initiatives.
• Support AI solution ideation, prototyping and implementation.
• Work with data scientists, engineers and architects to translate business requirements into technical solutions.
• Support use cases involving LLMs, conversational AI/chatbots, predictive models, intelligent automation and data analytics.
• Understand and articulate practical business applications of LLM technologies such as GPT, Claude and Llama.

Data & Analytics

• Work with business and technical teams on data requirements, data quality and data lifecycle considerations.
• Interpret analytical and data science outputs and translate findings into actionable business insights.
• Support reporting and analytics requirements using tools such as Power BI and Tableau.
• Work effectively with technical teams using technologies such as SQL, Python and cloud-based data platforms.

Stakeholder Management & Solution Advisory

• Act as the bridge between business stakeholders and AI/Data technology teams.
• Engage senior stakeholders to understand strategic objectives and identify opportunities for AI and data adoption.
• Present business cases, solution options and recommendations to stakeholders.
• Collaborate with enterprise architects, solution architects, data scientists, engineers, product owners, risk and compliance teams.
• Drive alignment between business objectives, solution design and enterprise architecture.

Governance, Risk & Compliance

• Ensure AI and data initiatives comply with applicable data privacy, information security, governance and regulatory requirements.
• Work with risk and compliance teams to identify and address risks associated with AI and data solutions.
• Support responsible AI considerations including governance, transparency and appropriate use of enterprise data.

Change Management & Adoption

• Support business adoption of new AI and data capabilities.
• Develop user documentation, training materials and presentations.
• Conduct workshops and knowledge-sharing sessions for business users.
• Monitor business outcomes following implementation and identify opportunities for continuous improvement.

Requirement

• Bachelor’s degree in Computer Science, Information Technology, Business, Data Science, Artificial Intelligence or a related discipline.
• Minimum 10 years of experience in Business Analysis, Solution Analysis, Product Management or related technology roles.
• At least 5 years of experience working with AI/ML and/or enterprise data technologies.
• Strong hands-on Business Analysis experience covering:Requirements gatheringBusiness requirements documentationFunctional specificationsUser storiesProcess mappingGap analysisImpact analysisStakeholder workshops
• Experience delivering AI, GenAI, Machine Learning or data-driven initiatives from requirements/ideation through implementation.
• Good understanding of Generative AI, Large Language Models (LLMs), NLP, predictive analytics and AI/ML concepts.
• Understanding of the data lifecycle, data management and model deployment concepts.
• Familiarity with Power BI and/or Tableau.
• Working knowledge of SQL and Python is advantageous.
• Exposure to Microsoft Azure, Azure AI/OpenAI, AWS or similar cloud platforms.
• Strong stakeholder management, communication, presentation and influencing skills.
• Ability to work effectively with business stakeholders, architects, data scientists, data engineers and development teams.
• Experience leading workshops and working across cross-functional teams.
• Strong analytical, problem-solving and decision-making capabilities.

Preferred Experience

• Experience within banking, financial services or regulated environments.
• Experience delivering enterprise AI/GenAI transformation or adoption initiatives.
• Exposure to Azure OpenAI, Microsoft Power Platform or Azure AI services.
• Experience with conversational AI, chatbots, intelligent automation or predictive analytics.
• Understanding of AI governance, responsible AI, data privacy and regulatory requirements.
• Previous experience mentoring or leading Business Analysts.

Skills