Ai Business Analyst Jobs

About The Position

Requirements

• Bachelor's degree in Business, Information Technology, Data Science, or related field.
• Minimum 3 years of experience in business analysis or related field – data science, machine learning, AI or adjacent experience a plus.
• Strong understanding of data and data management principles.
• Experience with agile methodologies and writing agile stories.
• Working knowledge of AI concepts — large language models, prompts, retrieval-augmented generation (RAG), agents, and the difference between deterministic and probabilistic systems.
• Hands-on experience using AI assistants (Microsoft Copilot, ChatGPT, Claude, or similar) in a professional context — bonus for experience writing requirements for AI/ML features.
• Strong communication and interpersonal skills, with the ability to translate between business stakeholders and technical/AI teams.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Strong analytical and problem-solving skills, with curiosity about how AI can reshape data workflows.

Nice To Haves

• Experience writing acceptance criteria or evaluation rubrics for AI/ML features.
• Familiarity with prompt engineering, agent design, or low-code automation (Power Automate, Power Apps, Copilot Studio).
• Exposure to AI governance, responsible AI, or data privacy frameworks.

Responsibilities

• Work with business stakeholders to identify data and AI use-case requirements, including opportunities to apply generative AI, machine learning, and intelligent automation.
• Translate business requirements into agile stories for the Data Engineering and AI/Automation teams — including stories for AI features, prompt design, evaluation criteria, and human-in-the-loop workflows.
• Partner with engineering teams to ensure stories are understood and that AI/data solutions are built with appropriate guardrails (accuracy, bias, privacy, explainability).
• Define acceptance criteria for AI-driven features, including success metrics, evaluation datasets, and fallback behaviors when models are uncertain.
• Participate in agile ceremonies (stand-ups, sprint planning, retrospectives) and AI design reviews.
• Communicate with stakeholders to ensure delivered solutions — including AI copilots and automations — meet their needs and drive measurable outcomes.
• Work with Quality Assurance to ensure stories are tested, including evaluation of AI outputs for accuracy, consistency, and safety.
• Use AI tools (e.g., Microsoft Copilot, ChatGPT, internal agents) to accelerate your own work — drafting stories, summarizing stakeholder interviews, analyzing data, and prototyping requirements.
• Identify and champion opportunities to embed AI into existing business processes and data products.
• Stay current with industry trends in data, AI, agentic systems, and agile delivery practices.

Benefits

• medical
• dental
• vision
• paid time off
• 401K match
• annual discretionary contribution based on business performance
• paid parental leave
• adoption assistance
• education assistance
• volunteer paid time off
• charitable contribution match