Job DescriptionThis 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 ResponsibilitiesThe 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 SkillsThis 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.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
About the TeamOur Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
