Product Delivery Associate- ML Model Delivery Services (Consumer & Community Banking Risk)
On-siteWilmington, Delaware, United States
Job Summary
Define and drive the product strategy, target-state vision, and roadmap for ML Model Delivery Services across the Consumer & Community Banking Risk portfolio. Partner with Risk Architecture, Risk Technology, Modeling, and Risk Strategy to align priorities, requirements, and platform decisions into a cohesive delivery strategy. Lead cross-functional prioritization and trade-offs to balance speed, control, auditability, and scalability across concurrent initiatives. Establish governance to track milestones, decisions, risks, dependencies, and escalations while driving integrated solutions for production model implementation and monitoring capabilities. Standardize processes to strengthen operational excellence and define analytics to monitor delivery health and surface insights.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Business Management, or comparable field (or equivalent practical experience)
- 5+ years in product management, program management, business/technology architecture, or a related role with demonstrated strategic ownership
- Strong leadership skills across cross-functional teams; ability to influence and align stakeholders at multiple levels
- Excellent written and verbal communication—comfortable translating technical concepts for non-technical audiences and vice versa
- Strong Agile experience (roadmaps, backlogs, iterative delivery, dependency management)
- Quantitative orientation: ability to interpret model/data concepts and convert them into product requirements, controls, and reporting needs
- Working knowledge of Python, Scala, SAS, and/or SQL (authoring or interpretation), plus comfort engaging with engineers and modelers on implementation details
Desired Qualifications
- Experience with model delivery lifecycle (implementation, monitoring, validation, performance testing) and/or risk analytics
- Familiarity with modern data platforms (big data ecosystems, cloud), data management tools, and visualization/reporting solutions
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.