Join us and help shape the outcomes that matter most—and bring them to life through innovative, scalable solutions that move from idea to impact faster, with higher quality and speed.
As a Vice President, Product Management in Home Lending Transformation, you are accountable for identifying the right business outcomes and delivering 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—leveraging AI responsibly to accelerate discovery, decisioning, and delivery where it creates real value.
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 delivery velocity and quality; proactively remove blockers, align stakeholders for fast decision-making, and ensure on-time, high-quality releases. Use lightweight decision frameworks and fast feedback loops to maintain momentum.
- Drive innovation and act as a key change agent: champion new ideas, challenge legacy processes, and lead cross-functional initiatives that transform Home Lending. Identify and deliver opportunities to create organizational value by leveraging technology, data, and customer insights to reimagine products, accelerate outcomes, and foster continuous improvement.
- 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.
- 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 prioritization, using firm-approved tools and guidelines.
- Own and communicate a living, data-backed roadmap that sequences value and reflects market and customer insights, with a relentless focus on speed to impact.
- Communicate progress, risks, and upcoming priorities with candor and clarity; escalate decisively to clear constraints and keep delivery on pace.
- Leverage AI responsibly to accelerate product delivery: use firm-approved AI/ML and analytics to speed discovery, inform prioritization and forecasting, streamline requirements and testing, and enhance customer experiences—while adhering to governance and applying human judgment to maintain quality and pace.
- Within 6–12 months, reduce lead time from idea to production by 30%, increase adoption and completion rates by 25–50%, and deliver high-impact experiments with measurable results—demonstrating how AI accelerated insights and value.
Required qualifications, capabilities and skills
- 3+ years of Product Owner/Product Manager experience with proven, end‑to‑end ownership delivering material customer and business outcomes; clear evidence of compressing cycle time on complex products
- Advanced product analytics capability; uses data to set targets, instrument features, and manage to outcomes; familiarity with AI/ML concepts and firm‑approved tools to responsibly enhance discovery, prioritization, and customer experiences
- 3+ years of hands‑on with JIRA/JIRA Align for flow management and expertise leading agile delivery (Scrum/Kanban) with measurable improvements to throughput and quality
- Applied UX and solution design experience; proficiency with Figma and process‑mapping tools to rapidly frame problems and prototype solutions with engineering/design partners
- Strong collaboration and communication skills to align engineering, design, and business partners; communicates priorities and progress crisply to maintain pace and technical acumen to engage on trade‑offs and architecture for scalable, resilient solutions
- Market and competitive analysis experience to identify differentiation opportunities and inform the roadmap with evidence‑based insights
- Bachelor’s degree in Business, Computer Science, Engineering or equivalent practical experience