Lead Business Analyst- AI & Data

Roles & Responsibilities 

The successful candidate will be part of the AI and Data team, leading the business analysis function for AI/GenAI and data initiatives. This role is pivotal in bridging business needs with AI capabilities, ensuring that solutions are aligned with strategic goals and deliver measurable value. The Lead Business Analyst will work closely with stakeholders across business and technology domains to define requirements, assess feasibility, and guide the development of AI-driven and data-driven solutions.

Strategic Planning, Governance, Stakeholder Management

• Define and maintain the AI/GenAI and data business capability roadmap aligned with enterprise strategy.
• Collaborate with enterprise architects and solution teams to ensure AI and data initiatives meet governance and compliance standards.
• Facilitate stakeholder engagement to gather business requirements and translate them into actionable insights.
• Champion AI adoption across business units by articulating value propositions and use cases.

Business Analysis & Solution Design

• Lead the discussion, documentation, and validation of business requirements for AI/GenAI and data solutions.
• Conduct gap analysis, feasibility studies, and impact assessments for AI and data initiatives.
• Collaborate with data scientists, engineers, and architects to ensure business needs are accurately translated into technical solutions.
• Develop user stories, process flows, and functional specifications for AI and data related applications.

AI and Data Use Case Development & Advisory

• Identify high-impact AI and Data use cases and assess their business value and implementation feasibility.
• Support the design and prototyping of AI and Data solutions, including chatbots, predictive models, data management and automation workflows.
• Advise business units on leveraging AI tools such as MS OpenAI, Power Platform, and Azure AI services, Tableau, Power BI, etc.
• Ensure AI solutions adhere to data privacy, ethical AI, and regulatory standards.
• Collaborate with risk and compliance teams to assess and mitigate risks associated with AI deployments.

Job requirements 

Education

• Bachelor’s degree in Business Administration, Computer Science, Data Science, Artificial Intelligence or a related field.

Experience

• Minimum of 10 years of experience in business analysis, solution design, or product management within the IT industry
• At least 5 years’ experience working with AI/ML and data technologies, including GenAI, NLP, and predictive analytics.
• Proven track record of leading AI-related business initiatives from ideation to implementation.
• Experience in banking, financial services, or regulated industries is preferred.

Technical & Analytical Skills

• Good understanding of AI/ML concepts, data lifecycle, and model deployment.
• Familiarity with tools such as Power BI, Tableau, SQL, Python (basic), and cloud platforms like Azure or AWS.
• Ability to interpret data science outputs and translate them into actionable business insights.
• Experience with LLMs (e.g., GPT, Claude, Llama) and their business applications.

Business & Communication Skills

• Exceptional stakeholder management and communication skills, with the ability to influence and negotiate across all levels.
• Strong analytical thinking, problem-solving, and decision-making capabilities.
• Ability to write clear and concise business requirements, user stories, and functional specifications.
• Experience in facilitating workshops, conducting interviews, and leading cross-functional teams.