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Vice President, Product Manager — Enterprise Knowledge Platform, Chase Home Lending

JPMorgan Chase

Vice President, Product Manager — Enterprise Knowledge Platform, Chase Home Lending

JPMorgan Chase

Plano, TX, United States, US

·

On-site

·

Full-time

·

1mo ago

Chase Home Lending is seeking a Vice President Product Manager to lead the strategy and delivery of an Enterprise Knowledge Platform for the Home Lending business. This platform will power AI solutions across conversational experiences (voice and chat), agent assist, and agentic workflows spanning the mortgage lifecycle—from application and underwriting through closing, servicing, escrow, and loss mitigation. As a Product Manager in Home Lending, you will define the roadmap, drive cross‑functional execution, and ensure the platform is secure, governed, and easy to adopt—delivering measurable improvements in customer experience, operational efficiency, and risk management. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
Job responsibilities- Define and own the multi‑year platform vision and roadmap for Home Lending, aligning to priority AI use cases across originations, closing, servicing, default, and customer support.

  • Translate business and operations needs into prioritized, outcome‑driven epics and features
  • Partner with engineering and architecture to deliver resilient, scalable platform services (APIs/SDKs, connectors, developer tooling) that integrate with Home Lending systems (e.g., LOS, document management, servicing and contact center platforms) and accelerate adoption across teams.
  • Establish and evolve governance in partnership with Risk, Controls, Cybersecurity, Privacy, Legal, Records Management, and Model Risk Management—covering data classification, RBAC/access controls, retention, lineage, auditability, and model/feature release processes.
  • Drive search relevance and answer quality via taxonomy and ontology strategy, embedding and retrieval tuning, feedback loops, and continuous evaluation; define and manage platform SLOs/SLAs.
  • Enable agentic workflows by integrating knowledge services with orchestration and guardrails to automate tasks such as document classification/extraction, status updates, payment and escrow inquiries, payoff/fees explanations, loss‑mitigation guidance, and operational checklists—prioritizing safety and compliance.
  • Lead cross‑functional delivery with clear milestones and dependency management; communicate progress, risks, and mitigations to senior stakeholders across Home Lending and partner groups.
  • Champion customer and colleague experience; use telemetry and experimentation to iterate on usability, adoption, quality, and performance.
  • Manage vendor and open‑source evaluations where appropriate, ensuring conformance with enterprise standards and controls.
    Required qualifications, capabilities and skills- 5+ years of experience or equivalent expertise in product management or a relevant domain area
  • Strong technical fluency in distributed systems, data governance, observability/telemetry, and platform reliability.
  • Hands‑on experience with knowledge and AI systems: content ingestion, metadata/ontologies, embeddings/vector databases, retrieval (RAG), search relevance, and evaluation frameworks.
  • Demonstrated ability to define measurable outcomes, write clear product requirements, and make informed tradeoffs across performance, security, usability, and compliance.
  • Exceptional communication and stakeholder management; effective with executives, engineers, designers, data scientists, operations leaders, and control partners.
  • Experience in highly regulated environments with familiarity across privacy and financial regulations relevant to mortgage lending and servicing and records requirements.
    Preferred qualifications, capabilities and skills- 3+ years’ experience in mortgage/home lending (originations, servicing, escrow, default, or contact center operations).
  • Exposure to LLM lifecycle and model governance (evaluation, safety, hallucination mitigation, prompt/policy management, and guardrails) and to fairness considerations in customer communications.
  • Familiarity with knowledge graphs, taxonomy/ontology tooling, content classification/extraction, and search relevance tuning for financial services content.
  • Experience designing agent assist and self‑service experiences (voice, IVR, chat) and integrating with contact center tooling and QA/monitoring.
  • Prior platform product management for multi‑tenant services, developer experience, and enterprise enablement.

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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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.

300,000+

Employees

New York City

Headquarters

Reviews

4.2

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

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Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

47 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

21 reports

$126,500

total / year

Base

$110,000

Stock

-

Bonus

-

$95,450

$155,250

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

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