Vice President, Product Management - Home Lending Transformation

The Home Lending Product Transformation team is responsible for advancing Consumer and Community Banking (CCB) product operating models and mobilizing product teams to deliver initiatives at scale that align with CCB Strategic Objectives.

Embrace the challenge of adapting to shifting priorities and resources while contributing to a dynamic team and applying your expertise, strategic thinking skills, and operational excellence across product lines.

As a Vice President, Product Management for Home Lending Transformation, you are accountable for identifying the right business outcomes and delivering AI-enabled solutions that realize them, accelerating idea-to-impact and elevating quality and speed.

You'll partner deeply with engineering, design, and business stakeholders, remove blockers proactively, and lead a culture of experimentation and continuous improvement to deliver best-in-class products.

The ideal candidate will be a hands-on AI product builder with a proven track record shipping agentic, LLM-powered capabilities and the product judgment to lead cross-functional teams to a higher bar for speed, quality, and execution.

This is your opportunity to make a lasting impact and help us set new industry standards.

Job Responsibilities:


* Define and prioritize the product backlog to maximize customer and business value; translate strategy into clear, measurable outcomes and sequenced delivery plans at enterprise scale, with a focus on reducing cycle time.


* Own and communicate a living, data-backed roadmap that sequences value and reflects market and customer insights; communicate progress, risks, and upcoming priorities with candor and clarity and escalate decisively to keep delivery on pace.


* Lead delivery of AI-powered and agentic capabilities that improve the home lending journey, including clear human handoffs/escalations, exception handling, and measurable outcomes.


* Define and maintain agent operating boundaries (permitted actions, tool access, context scope, escalation rules, stop conditions) to ensure predictable behavior aligned to enterprise standards and governance.


* Lead discovery and usability testing; run rapid experiments (Minimum Viable Products/A B tests) to validate assumptions and iterate based on quantified learning, including judicious use of AI driven insights where appropriate and compliant.
Own delivery velocity and quality; proactively remove blockers, align stakeholders for fast decision-making, and ensure on-time, high-quality releases using lightweight decision frameworks and fast feedback loops.


* Facilitate agile ceremonies (planning, stand-ups, reviews, retros) that drive focus, accountability, and continuous improvement across the team.


* Instrument features, analyze product performance, and publish outcome dashboards per sprint/release to drive data-driven decisions and return on investment; apply AI/ML where it enhances signal detection, forecasting, or prioritiza...