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👑Data Leadership

Data Owner Lead, Home Lending Originations, VP

JPMorgan Cha · Jacksonville, FL, United States
// classified as
Data Leadership (Heads of data, directors, managers.)
posted
8d ago
location
Jacksonville, FL, United States
languages
sql
tools
—
> stack
sql
> description

This role is for a senior data product leader who shapes and drives the Home Lending Originations data strategy end-to-end—setting direction, aligning executives and cross-functional partners, and ensuring delivery of trusted, well-governed data products that improve the Chase customer experience. 

You will sit at the intersection of Product, Data, and Technology, translating business outcomes into durable data product roadmaps, operating models, and measurable results. You’ll be accountable for ensuring the data we deliver is discoverable, reliable, secure, and analytics-ready—while proactively managing risk, controls, and compliance expectations. 

Key Responsibilities


The VP scope expands the existing responsibilities from “support and coordinate” to set strategy, drive accountability, and lead delivery across multiple workstreams and stakeholders. 

  • Own data product strategy and outcomes for Home Lending Originations, aligning roadmaps to strategic business objectives, analytics use cases, and customer outcomes.
  • Define the critical data elements and operating model: establish clear ownership, data domain scope, lifecycle expectations, and decision forums.
  • Translate complex needs into executable requirements: ensure data meaning, purpose, lineage, metadata classification, and usage expectations are defined to enable scale and reuse.
  • Drive analytics enablement and decisioning at scale: ensure the right data products are integrated into analytics platforms and are fit-for-purpose for reporting, insights, and advanced analytics.
  • Set the data quality bar and control expectations: define quality standards (accuracy, completeness, timeliness, consistency), acceptance criteria, monitoring, and remediation mechanisms; ensure quality is treated as a product feature.
  • Lead cross-team delivery and dependency management: coordinate across technology and data delivery partners, remove blockers, resolve systemic data issues, and ensure predictable execution across competing priorities.
  • Own governance, risk, and compliance outcomes for the domain: identify, monitor, and reduce data risk; ensure adherence to firmwide data integrity and protection standards.
  • Influence through senior partnership: align product, engineering, analytics, and risk leaders on tradeoffs, investment decisions, sequencing, and prioritization.
  • Measure business and delivery impact: define KPIs, track milestones, communicate status to senior stakeholders, and drive continuous improvement across processes and outcomes.


Required Qualifications, Capabilities, and Skills


This VP-level profile builds on the current requirements by emphasizing deeper leadership, strategic ownership, and the ability to drive outcomes through a matrixed organization. 

  • Bachelor’s degree and significant experience in data-focused roles with demonstrated leadership partnering across product and technology organizations.
  • Proven ability to lead delivery across multiple workstreams with competing timelines, dependencies, and stakeholders.
  • Strong command of product/business data and processes, with the ability to frame priorities in terms of customer outcomes, measurable value, and risk reduction.
  • Strong working knowledge of data management, governance, big data platforms, and/or data architecture, including SQL, and the ability to guide technical partners toward scalable solutions.
  • Demonstrated ability to prioritize, manage ambiguity, and drive decisions in a complex, matrixed environment; comfortable operating with senior stakeholders.
  • Excellent communication and executive presence: able to translate technical concepts for non-technical audiences and align teams on clear decisions and tradeoffs.
  • Structured, analytical thinker with strong business judgment; able to define success metrics and manage to outcomes.
  • Familiarity with Agile delivery and iterative development, with an emphasis on building durable capabilities and continuous improvement.
  • Deep commitment to data quality, protection, and compliance as non-negotiable deliverables.
Apply at JPMorgan Cha →