Senior Product Manager - Operations Modernization

About this role: We are seeking a Senior Product Owner to support an Agile team delivering essential lending operations and servicing functionality as part of a broader modernization program. The role will help break down complex capabilities into executable increments while supporting the transition from fragmented legacy processes to more modular, scalable, and service-based solutions. The successful candidate will execute product priorities established with the Product Manager, keep the Scrum team supplied with clear and prioritized work, and provide timely requirement clarification throughout delivery. The Product Owner will make day-to-day decisions within the agreed product direction and promptly escalate decisions that affect roadmap priorities, funding, risk acceptance, architecture, or other teams. This role requires strong organization, practical product ownership discipline, sound judgment, collaboration, and accountability for moving functionality from discovery through production and value validation. In this role, you will: Partner with the Product Manager to understand product direction, priorities, intended outcomes, customer needs, risk requirements, and technology standards, and translate them into executable work for the Scrum team. Own and maintain the Scrum team's backlog, ensuring work is prioritized, refined, dependency-aware, and ready for upcoming sprints or increments. Translate business, operational, customer, risk, and technical needs into clear, complete, and testable features, user stories, acceptance criteria, and supporting product requirements, using AI-assisted analysis and drafting where appropriate to improve quality, traceability, and delivery readiness. Provide timely requirement clarification and make day-to-day scope, sequencing, and tradeoff decisions that keep developers and testers moving. Work closely with engineering, architecture, design, data, operations, risk, compliance, and control partners to address feasibility, integration, data, control, and delivery considerations. Drive discovery by documenting current processes, pain points, controls, business rules, data needs, integration requirements, and future-state opportunities, using AI and generative AI tools where appropriate to synthesize inputs and identify patterns or dependencies. Lead backlog refinement, sprint planning, daily team collaboration, sprint reviews, retrospectives, product reviews, and quarterly or increment planning, ensuring the team understands priorities, requirements, and expected outcomes. Translating roadmap priorities into sequenced team-level features and delivery plans, and communicate milestones, dependencies, risks, and tradeoffs. Collaborate with stakeholders and subject matter experts to define cases, expected outcomes, success measures, and business value before work enters delivery. Use operational, customer, performance, and financial data, supported by AI-assisted analysis where appropriate, to identify opportunities, test assumptions, support prioritization, and validate delivered value. Review completed functionality against acceptance criteria, provide timely feedback, and accept or reject work on behalf of the product team. Identify and evaluate practical opportunities to simplify workflows, reduce manual work, improve straight-through processing, and enable digital fulfillment through automation, responsible AI, intelligent workflow, and human-in-the-loop solutions. Track feature progress, dependencies, delivery risks, and blockers; coordinate needed follow-up and escalate decisions or barriers promptly. Coordinate testing, business validation, release readiness, implementation, operational readiness, adoption, and post-launch measurement for delivered functionality. Partner with risk, compliance, security, accessibility, model governance, and data governance stakeholders to ensure delivered solutions, including AI-enabled capabilities, meet applicable policy, regulatory, privacy,