• Ensuring that consultation is available to the laboratory’s clients on matters relating to the quality of the test results and their interpretation concerning specific patient conditions. • Active involvement in the design, implementation, and oversight of the quality management system, including the monitoring of key indicators and investigation of problems with corrective/preventive action as appropriate. • Ensuring that testing systems developed and used for each of the tests performed in the laboratory provide quality laboratory services for all aspects of test performance, which includes the pre-analytic, analytic, and post-analytic processes. • Participation in Continuing Education to maintain necessary certifications. • Participation in Strategic Planning and Research and Development appropriate to the needs of the laboratory. • Ensuring that quality is the first consideration in all aspects of their job.

• Lead development and enhancement of complex CECL, credit loss, and portfolio forecasting models, including PD/LGD/EAD frameworks, charge‑off prediction, and segment‑level behavior models. • Architect and maintain enterprise stress testing and scenario‑based forecasting models aligned with regulatory, economic, and strategic planning needs. • Evaluate model design choices, explore innovative techniques, and propose improvements to enhance model accuracy, stability, and interpretability. • Conduct high‑level quantitative research using Econometrics and statistical learning, Survival/hazard modeling, Time-series and macroeconomic modeling, Monte Carlo and/or Value at-Risk (VaR) simulation, Nonlinear, ensemble, and machine learning methods (where appropriate). • Analyze historical portfolio performance, macroeconomic sensitivities, and emerging trends to inform model assumptions and scenario responses. • Oversee model calibration, challenger model creation, benchmarking, and advanced performance monitoring. • Produce and approve high‑quality documentation of methodologies, assumptions, data, theoretical foundations, and quantitative reasoning. • Ensure analytics practices and models meet applicable regulatory, audit, privacy, and cybersecurity standards; lead remediation and audit readiness; Comply with internal model risk standards. • Lead interactions with Model Validation, Internal Audit, and regulators by presenting methodology, defending model approaches, and addressing findings. • Design and validate data pipelines, transformations, and sampling methodologies in partnership with Business Technology teams. • Review code for accuracy, performance, and risk controls; guide deployment into enterprise platforms. • Develop analytical tooling, dashboards, and automation to support ongoing model performance and forecasting cycles. • Act as a trusted quantitative advisor to senior leaders in Finance, Treasury, Risk, and Credit Management. • Translate model results into business implications, clearly articulating drivers of portfolio performance and scenario outcomes. • Present forecasts and stress testing insights to governance committees and senior management. • Provides direct supervision to the Credit Forecasting team. Provide technical leadership and coaching to team members and fellow analysts. Establish best practices for code quality, analytical rigor, reproducibility, and documentation. Lead peer reviews and champion continuous improvement across the modeling team.

• Provide direct support for key customers within The Network • Develop and implement strategies to optimize drug economics • Improve safety and quality of admixture services • Manage projects by prioritizing issues • Analyze drug economics and clinical trending • Actively lead and/or participate in key P&T subcommittees

• Serve as Global Platform Owner for the Salesforce ecosystem and associated commercial platforms • Define and maintain the long-term platform strategy aligned to global commercial objectives • Partner with Service Delivery & global Agile teams to deliver enhancements, new capabilities, BAU support, and cross-cloud integrations • Champion Agile and DevOps methodologies to drive standardization, velocity, and continuous improvement • Collaborate with Commercial Excellence, regional business units, and Global Business Sponsors to prioritize features, manage demand, and ensure alignment to strategic goals • Lead cross-functional teams including Business Analysts, Solution Architects, Developers, Scrum Masters, and external vendor partners • Ensure stability, scalability, and security of global commercial platforms