Senior Business Operations Engineer

About Qualifyze: Founded in 2019, Qualifyze is a leading company in supply chain compliance management in the Life Sciences industry, trusted by over 1,500 pharmaceutical and healthcare companies globally. Our digital suite of solutions connects manufacturers, suppliers, and a global network of more than 250 auditors and quality experts. With a track record of over 4,500 audits across 85+ countries and the largest and most accurate supplier network and data analytics tools, Qualifyze stands as the all-in-one partner for quality compliance and supply chain risk mitigation in the Life Sciences sector. Role Overview: As an Operations Engineer , you will lead efforts to scale our organization through process automation and AI integration . Your mission is to identify operational bottlenecks, design intelligent workflows , and deliver data-driven automated solutions that enhance productivity, decision-making, and operational quality across the company. This role bridges the gap between business processes , data engineering , and technology , working within the Finance department in close partnership with our Business Intelligence (BI) and Data Engineering teams. Main responsibilities: The team member shall perform the tasks inherent to such position, including, but not limited to, the following: Partner with business teams to identify and scope high‑impact transformation opportunities through AI and automation . Define the business problem , success metrics , feasibility , risks , and ROI . Map, document, and analyze current processes, systems, and data flows across the existing tool landscape. Evaluate existing processes and assumptions, identify bottlenecks , and propose new workflows and tooling that enable scalability and efficiency . Work with the data and BI teams on new and updated data models to enable workflows. Design and deliver new solutions end-to-end , from proof of concept to production . Develop automation and AI-based systems such as intelligent routing or workflow orchestration , integrated with internal platforms via APIs and webhooks . Establish quality, performance, and safety monitoring for all solutions. Work closely with Security, Legal, and Privacy to ensure compliant data use and vendor management . Create documentation, runbooks, and handovers to ensure sustainable operations. Collaborate with the data engineering and BI team to design ingestion and transformation pipelines using dbt and LLM-powered workflows in Python , to support automation, analytics, and decision-making at scale . Act as a driver for continuous improvement by advancing operational efficiency through innovation , simplification , and collaborative problem-solving . Main requirements: Deep understanding of business processes, with a strong process-mapping and optimization mindset, focused on measurable efficiency gains and anticipation of edge cases and failure modes. Strong programming skills in Python and/or…