VP, Business Data Delivery (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: San Francisco, United States; hybrid work model with in-office attendance required on Tuesdays, Wednesdays, and Thursdays; remote placement is not considered. Primarily Pacific Time, with flexibility across time zones when necessary. Relocation is offered based on actual job level.
Salary: $240,000–$270,000 target base salary annually, plus potential equity and annual bonus.
Company
provides focused financial products and mobile-first experiences designed to help millions of Americans improve their financial health.
What you will do
- Define and execute the roadmap for business-facing data products supporting marketing, lending, credit risk, fraud, operations, deposits, and compliance.
- Lead Data Engineering, Analytics Engineering, Data Product Management, and Data Science delivery organizations.
- Own customer data strategy, including customer and behavioral data integration, Customer Data Platform initiatives, identity resolution, and downstream activation.
- Define business-facing analytics, AI enablement, self-service data products, and machine learning data capabilities.
- Establish data quality, certification, testing, monitoring, governance, and delivery standards.
- Build a data-driven culture and advise executive leadership on data strategy, customer data, analytics, and AI opportunities.
Requirements
- 13+ years of experience in data engineering, analytics engineering, data product management, or related technology, including 10+ years leading and developing teams.
- 5+ years leading large-scale data products, Customer Data Platforms, analytics organizations, or business-facing data delivery functions in a public cloud environment.
- Experience delivering data products for customer experiences, marketing activation, credit decisioning, fraud detection, operations, and business intelligence.
- Strong understanding of modern data architectures, customer data platforms, analytics ecosystems, and data product operating models.
- Experience with lakehouse platforms such as Databricks, transformation tooling such as dbt, BI platforms such as Tableau, and cloud-native data architectures.
- Experience with advanced analytics, machine learning, AI-enabled business capabilities, and highly regulated industries; bachelor's degree or equivalent experience.
Nice to have
- Experience in both high-growth organizations and large-scale enterprises.
- Knowledge of consumer financial products, lending, deposits, fraud, risk, collections, or personal financial management.
- Experience with AWS, enterprise AI enablement, and modern data product transformations.
- Proven ability to attract, hire, and develop technical and product talent.
Culture & Benefits
- Mission-driven work focused on fairness, simplicity, innovation, and improving financial health.
- Medical, dental, and vision plans for employees and families.
- 401(k) matching, health and wellness programs, and flexible time off for salaried employees.
- Up to 16 weeks of paid parental leave.
- Travel to offices or other locations as needed.
Hiring process
- Interviews may be recorded, transcribed, and summarized using AI tools for select roles and locations.
- Candidates may opt out of recording, transcription, and summarization before scheduled interviews.
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