3 часа назад
VP, Data Platforms (AI)
240 000 - 270 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
VP, Data Platforms (AI): Leading the strategy, architecture, and operation of enterprise data and AI platforms supporting analytics, machine learning, operational decisioning, and business intelligence with an accent on customer data foundations, governance, reliability, and responsible AI in a regulated banking environment. Focus on modernizing cloud-based data ecosystems, building self-service capabilities, and leading Data Engineering, Platform Engineering, Governance, ML Platform, and Production Support organizations.
Location: San Francisco, United States; hybrid work model with in-office attendance required Tuesdays, Wednesdays, and Thursdays. Remote placement is not considered. Primarily PT working hours; relocation to the United States is offered.
Base salary: $240,000–$270,000 annually, plus potential equity and annual bonus.
Company
develops digital financial services focused on fairness, simplicity, mobile-first experiences, and helping Americans improve their financial health.
What you will do
- Define and execute the strategy, architecture, and roadmap for enterprise data and AI platforms.
- Own the customer data foundation, canonical data models, Customer Data Platform, ingestion, certified marts, and BI/AI consumption.
- Shape AI enablement through feature stores, model serving, MLOps, self-service analytics, and responsible AI practices.
- Establish data governance, metadata, lineage, quality, privacy, observability, resiliency, and regulatory compliance standards.
- Lead Data Engineering, Platform Engineering, Governance & Enablement, ML Platform, and Production Support teams.
- Partner with executives, Product, Analytics, Risk, Compliance, business stakeholders, vendors, and regulators on platform strategy and investment.
Requirements
- 13+ years of software engineering experience, including 10+ years leading and developing engineering teams.
- 5+ years leading enterprise data platforms, data products, or data engineering organizations in a public cloud environment.
- Experience scaling data platforms for analytics, machine learning, customer experiences, and operational decision-making.
- Strong knowledge of modern data architecture, governance, observability, metadata management, AI/ML platforms, production operations, and reliability engineering.
- Experience with cloud-based data ecosystems using technologies such as Databricks, dbt, Fivetran, data catalogs, and observability tooling.
- Experience in highly regulated industries and strong executive communication skills; bachelor’s degree or equivalent experience.
Nice to have
- Experience in both high-growth organizations and large-scale enterprises.
- Knowledge of consumer financial products, personal financial management, or regulated marketing.
- Experience leading enterprise AI enablement and modern data platform transformation initiatives.
Culture & Benefits
- Hybrid collaboration model with in-person work supporting the role’s team and related business lines.
- Medical, dental, and vision plans for employees and families.
- 401(k) match, 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.
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