Sr.BusinessSystemsAnalyst

## Accountabilities In this role, you will define and optimize AI-enabled clinical and operational systems that support digital pathology workflows, working closely with medical experts and engineering teams to translate clinical needs into scalable digital solutions. Define and evolve internal generative AI and digital pathology workflow systems, ensuring alignment with clinical and operational goals Partner with pathologists, medical directors, and innovation teams to identify workflow inefficiencies and automation opportunities Translate clinical and operational requirements into detailed user stories, technical specifications, and prioritized engineering backlogs Lead the design and rollout of AI-assisted tools such as case triage, reporting support, and quality control automation Collaborate with QA, regulatory, and compliance teams to ensure systems meet CLIA, CAP, HIPAA, and related standards Define and track product KPIs such as turnaround time reduction, adoption rates, and diagnostic accuracy improvements Support continuous improvement of AI-powered workflows through data-driven insights and user feedback loops Requirements This role requires strong experience in healthcare technology, product or systems analysis, and AI-enabled workflow design, particularly in regulated clinical environments such as digital pathology or laboratory systems. Bachelor’s degree in Life Sciences, Biomedical Engineering, Computer Science, Business, or related field (Master’s preferred) 5+ years of experience in product management or business systems analysis within healthcare or life sciences technology Experience with digital pathology (IMS/WSI), radiology systems (PACS/RIS), or laboratory information systems (LIMS) Strong understanding of AI/ML-driven workflow design, including human-in-the-loop systems Experience working in Agile environments using tools such as Jira and Confluence Knowledge of healthcare regulatory frameworks including CLIA, CAP, and HIPAA Ability to transl