• Provide strategic and operational leadership for end-to-end clinical data collection, cleaning, and quality oversight across complex clinical studies • Serve as the Data Management Functional Lead for Clinical Data Science on complex, multi-scope clinical projects • Develop Data Management Plan, Communicate, troubleshoot, and resolve complex data-related issues • Ensure required data elements and corresponding data quality oversight steps are identified to support defined study analyses • Monitor and communicate project progress using status reports, tracking tools, and metrics to Sponsors and internal teams

• Support efforts to collect, clean, and validate data • Contribute to quantitative and/or qualitative analysis using statistical techniques and methods • Contribute to the training and testing of machine learning models • Analyze and visualize data for presentation to key stakeholders

• Design, implement, and improve machine learning Systems. • Contribute to machine learning applications end to end, i.e. from research to prototype to production. • Work with product managers, designers, and customers to define vision and strategy for a given product.

• Develop sales forecasting excellence by building statistical and machine learning models to solve forecasting needs across business domains. • Contribute to self-service forecasting data tools to enable real-time decision-making. • Own the end-to-end machine learning lifecycle, including scoping, feature engineering, model training and testing, deployment, monitoring, and explainability. • Drive strategic business partnership by translating technical model outputs into business-aligned recommendations and decision frameworks with forecast explainability and driver decomposition. • Act as a leader in the data science team by mentoring junior data scientists, leading technical design reviews and learning sessions, and influencing roadmap and standards across the data science team.