Senior Business Systems Analyst (AI / Data Products)

Purpose and scope

Principal duties

• Lead discovery and requirements gathering for AI/ML and Generative AI use cases aligned with business priorities.
• Translate business problems into functional and technical specifications, user stories, acceptance criteria, and data requirements.
• Define model inputs, outputs, evaluation metrics, and expected business outcomes with data scientists and AI/ML engineers.
• Document business processes, system integrations, and data flows; facilitate workshops and design sessions.
• Track requirements through development, testing, and deployment; support model validation, UAT, and adoption.
• Collaborate on data quality, privacy, and responsible AI compliance, and identify AI-enabled optimization and automation opportunities.

Education and experience

• A bachelor’s degree in Information Systems, Computer Science, Business Administration, or a related field is required.
• A master’s degree such as an MBA or degree in Data Analytics or a related field is preferred.
• Requires 8–12 years of related experience, a master’s degree with 6 or more years of experience, or equivalent directly related experience.
• Requires strong experience with enterprise data, analytics, and AI/ML initiatives; machine learning concepts, data pipelines, APIs, and system integrations.
• Requires experience translating data-driven problems into business requirements and scalable solutions, and working in Agile/Scrum product delivery.
• Requires strong stakeholder management, communication, and facilitation across technical and non-technical audiences.
• Familiarity with AWS or Azure, Databricks, and enterprise analytics tools is preferred.
• Exposure to Generative AI, LLMs, copilots, prompt-based applications, and AI governance is preferred.