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Executive Director, Product Management — Lending Product & Transformation

Job in Plano, Collin County, Texas, 75086, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-09-07
Job specializations:
  • IT/Tech
    Change Management, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 230000 - 320000 USD Yearly USD 230000.00 320000.00 YEAR
Job Description & How to Apply Below
Position: Executive Director, Product Management — Home Lending Product & Transformation

Transform the future of Home Lending with the power of AI—where your vision and product leadership will help deliver a faster, more automated experience for Chase customers. The Home Lending Product Transformation team is responsible for delivering a re‑imagined experience for our Chase customers, through a faster, more automated home lending ecosystem.

As an Executive Director of Product Management for Home Lending Product and Transformation, you will define the outcomes that matter and deliverAI-powered capabilities to achieve them—accelerating idea‑to‑impact while raising quality and speed. You will partner closely with engineering, design, and business leaders, remove blockers, and lead a culture of experimentation and continuous improvement.

The ideal candidate will be an AI builder with a proven track record of shipping agentic, LLM‑powered solutions and the product judgment and leadership to set a higher bar for execution.

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

Job responsibilities:
  • Raise the bar by establishing a prototype‑first delivery model: use firm‑approved tooling and light coding to build interactive agentic prototypes that compress design/engineering cycle times and accelerate alignment.
  • 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.
  • Translate requirements into crisp functional specifications (process flows, business rules, data definitions, acceptance criteria) that engineering can implement with minimal rework; incorporate platform/integration dependencies and technical constraints transparently so sequencing reflects real delivery complexity.
  • Design and deliver agentic experiences across multiple modalities and channels (in‑app chat, SMS, RCS, and outbound/inbound voice), ensuring consistent outcomes and clear human handoffs/escalations.
  • Define agent operating boundaries and guardrails (permitted actions, tool access, context scope, escalation rules, stop conditions) to ensure predictable behavior within enterprise standards.
  • Establish prompt refinement and optimization practices: continuously develop, test, and tune system prompts/instructions and few‑shot examples; improve quality, token efficiency, and response latency through disciplined iteration.
  • Identify and deliver opportunities to create organizational value by leveraging technology, data, and customer insights to reimagine products, accelerate outcomes, and foster continuous improvement. Own data/integration thinking end‑to‑end (source‑to‑target mappings, data contracts, reconciliation checks) to ensure solutions work reliably across systems and channels.
  • Lead quick and comprehensive 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. Use technical skills (SQL/analytics, light scripting, and firm‑approved AI tooling) to quickly validate hypotheses, analyze funnels, and reduce time‑to‑insight.
  • Facilitate agile ceremonies that drive focus, accountability, and continuous improvement across the team. Partner closely with engineers to break work into implementable slices, clarify edge cases, and resolve functional/technical ambiguities early. Own delivery velocity and quality; proactively remove blockers, align stakeholders for fast decision‑making, and ensure on‑time, high‑quality releases. Communicate progress, risks, and upcoming priorities with candor and clarity; elevate decisively to clear constraints and keep delivery on pace;

    provide clear functional + technical risk framing (data quality, integration risk, performance, resiliency) to accelerate decisions.
  • Instrument features, analyze performance, and publish sprint/release outcome dashboards to drive ROI and data‑driven decisions. Own and communicate a living, data‑backed roadmap that sequences value and reflects market and customer insights, with relentless focus on…
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