Program Systems Engineering Specialist

- You will lead the comprehensive management of the model lifecycle for MSOSA models, covering scoping, design, development oversight, testing, deployment, monitoring, and retirement. - It is vital that you define and uphold model governance standards, documentation prerequisites, and approval workflows. - You will coordinate model validation and independent review activities, ensuring the timely resolution of any findings. - You must implement and manage processes for model performance monitoring, drift detection, and anomaly response. - Ensuring model explainability, interpretability, and reproducibility is crucial; you will maintain model lineage and version control. - You will collaborate with cross-functional teams (data scientists, ML engineers, software engineers, DevOps) to ensure models are operationalized reliably and securely. - It is essential to establish and monitor key model performance indicators (KPIs) and service-level objectives (SLOs). - I expect you to ensure compliance with relevant regulations, industry best practices, and internal policies (e.g., data privacy, fairness, risk management). - You will facilitate communication with stakeholders and provide regular updates to business owners and leadership. - Your role will also involve driving continuous improvement of modeling practices, tools, and automation (CI/CD for models, ML Ops), as well as supporting model risk assessments and integrating model controls into enterprise risk frameworks.