Lead Product Manager- Home Lending

Wells Fargo & Company•San Antonio, TX

1d•$119,000 - $206,000•Hybrid

About The Position

Wells Fargo is seeking a Lead Product Manager to shape the future of our Home Lending Originations Product experiences. In this role, you will champion an outcome‑driven product strategy that simplifies the home lending journey and delivers meaningful value to millions of customers. As a Lead Product Manager, you will own the vision, roadmap, and results for key digital products - leveraging deep customer understanding, competitive insights, design thinking, and data to uncover the highest‑impact opportunities. You will lead continuous discovery and iterative validation for opportunities and solutions to ensure they are viable for the business, feasible for engineering, desirable for customers, and compliant within a complex regulatory environment. You will operate as a strategic leader who navigates ambiguity, influences executive decision‑making, and aligns diverse partners across Legal, Risk, Compliance, Operations, and the Home Lending Ecosystems. Success requires a strong command of digital analytics, the ability to frame compelling business cases, and a passion for delivering measurable outcomes - not just features - for our customers and the business.

Requirements

5+ years of Product Management, product development, strategic planning, process management, change delivery experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

Outcome Ownership: Proven track record of taking full accountability for product outcomes, exercising autonomy to discover, validate, and prioritize the most impactful initiatives.
Strategic Business Cases: Demonstrated ability to develop and justify robust business cases for strategic investments, clearly articulating ROI and alignment with enterprise goals.
Product Discovery & HCD: Mastery of Human-Centered Design (HCD) and discovery techniques—specifically customer journey maps, service blueprints, and assumption testing—to independently navigate ambiguity and validate solutions.
Matrixed Leadership: Expertise in leading through influence within a complex environment, effectively partnering with lines of business, enterprise digital teams, Legal, Risk, and Compliance.
Data-Driven Storytelling: Proficiency in using data to tell a compelling story that drives executive decision-making; experience with digital analytics is preferred.
GenAI Utilization: Experience leveraging Generative AI (GenAI) tools to expedite the product development lifecycle, from accelerating market research and documentation to optimizing workflow efficiency.
Agile Execution: Advanced proficiency in Jira for roadmapping and backlog management, with a sharp focus on balancing long-term strategic vision with near-term delivery.

Responsibilities

Own outcomes end‑to‑end: identify and shape opportunities and capabilities across a multi‑quarter roadmap; sequencing work to maximize customer and business value.
Lead discovery with Human Center Design (HCD): map journeys, blueprint services, and run assumption tests to validate desirability, viability, feasibility, and usability before build.
Turn insights into decisions: instrument experiences, define success metrics, and use data and digital analytics to measure impact and guide the roadmap.
Influence at the executive level: craft clear business cases, tell data‑driven stories, and drive alignment on strategic investments.
Lead across a matrix environment: partner tightly with Design, Engineering, enterprise Digital, and Legal, Risk, Compliance to ship solutions that are compliant, scalable, and customer‑centric.
Prioritize and deliver: maintain Jira backlog, balance long‑term strategy with near‑term value, and apply economic prioritization to focus teams on what matters most.
Work smarter with GenAI: accelerate research, documentation, and synthesis to increase speed and quality of decision‑making.
Lead projects, scrum teams, or serve as a mentor to less experienced staff