Job
Description
What you will do In this vital role we are seeking a Business Systems Analyst with a good background in data and analytics to define and manage product requirements for AI-driven applications. Partner with Data Scientists, ML Engineers, and Product Managers to define business processes, product needs, and AI solution requirements. Capture and document epics, user stories, acceptance criteria, and data process flows for AI-powered analytics applications. Work closely with partners to define scope, priorities, and impact of new AI and data initiatives. Ensure non-functional requirements, such as data security, model interpretability, and system performance , are included in product backlogs. Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and lead backlog grooming sessions. Ensure alignment of technical requirements and UX for AI-based applications and interactive dashboards. Collaborate with engineers to define data ingestion, transformation, and model deployment processes . Develop and implement product demonstrations showcasing AI-driven insights and analytics. Maintain detailed documentation of data pipelines, model lifecycle management, and system integrations . Stay engaged throughout software development, providing proactive feedback to ensure business needs are met What we expect of you We are all different, yet we all use our unique contributions to serve patients. This role bridges the gap between business needs and technical execution, ensuring the development of high-quality, scalable AI solutions. You will collaborate with data scientists, engineers, and product managers to shape product roadmaps, refine requirements, and drive alignment between business objectives and technical capabilities. Basic Qualifications: Masters degree and 1 to 3 years expereince in Computer Science, Data Science, Information Systems, or related field OR Bachelors degree and 3 to 5 years of in Computer Science, Data Science, Information Systems, or related field OR Diploma and 7 to 9 years of in Computer Science, Data Science, Information Systems, or related field Preferred Qualifications: Experience defining requirements for AI/ML models, data pipelines, or analytics dashboards . Familiarity with cloud platforms (AWS, Azure, GCP) for AI and data applications. Understanding of data security, governance, and compliance in AI solutions. Ability to communicate complex AI concepts and technical constraints to non-technical partners. Knowledge of MLOps, model monitoring, and CI/CD for AI applications .
