채용

Vice President, Product Management — Home Lending Transformation
Plano, TX, United States, US
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On-site
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Full-time
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3w ago
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 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
To be eligible for this position, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorgan Chase & Co., will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).
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JPMorgan Chase 소개

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
직원 수
New York City
본사 위치
$500B
기업 가치
리뷰
4.2
10개 리뷰
워라밸
4.2
보상
4.3
문화
4.5
커리어
4.4
경영진
4.1
75%
친구에게 추천
장점
Good pay and benefits
Work-life balance
Career advancement opportunities
단점
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
연봉 정보
55개 데이터
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21개 리포트
$126,500
총 연봉
기본급
$110,000
주식
-
보너스
-
$95,450
$155,250
면접 경험
4개 면접
난이도
2.8
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
자주 나오는 질문
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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