Job
Description
Job Responsibilities Lead Digital Process Discovery projects, managing them end-to-end, including business casing, scoping, and delivery. Utilize process mining techniques to analyze process behavior and identify improvement opportunities. Implement real-time process monitoring using streaming data to enhance process efficiency. Conduct data-driven root cause analysis to address process conformance issues and inefficiencies. Drive projects from scoping, data collection, processing, modeling, implementation, to evaluation. Collaborate with the U.S. Process Intelligence team to facilitate advanced process analytics, ensuring continuous results through a "follow the sun" model. Partner with leadership to develop innovative Process Intelligence solutions and work with the business to define use cases and generate new ideas. Required Qualifications, capabilities and skills Bachelor s, Master s, or PhD in process mining, computer science, statistics, or a related field. 9+ years of robust experience in statistical analysis, process mining, and process analysis. Proficiency in Python and experience with relevant libraries (e.g., PM4PY) and frameworks for predictive process mining and monitoring. Proven ability to provide data analytics for senior management and translate complex data insights into actionable recommendations. Experience with data pipelining and data visualization tools, such as Alteryx, Tableau. Strong ability to partner with a broad range of internal teams, especially business and technology, to achieve results and effectively convey technical concepts to non-technical stakeholders. Excellent verbal, written communication, and presentation skills, with the ability to articulate and tell a compelling story.
