7 дней назад
Lead Product Manager, Data Platform
164 000 - 205 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Product Manager, Data Platform (Data Ingestion/Modeling/ML): Own the strategy, roadmap, and delivery of a unified data platform spanning ingestion, data modeling, analytics, and intelligence capabilities with an accent on cloud-native data architectures, governance, and machine learning productization. Focus on aligning two Scrum teams, scaling reliable data pipelines and trusted analytic models, and translating complex platform capabilities into value for financial institution clients.
Location: Remote in the United States; candidates must be based in and authorized to work in the US.
Salary: $164,000–$205,000 annually.
Company
provides a SaaS digital sales and service platform for US banks and credit unions, combining onboarding, digital banking, data, and marketing solutions.
What you will do
- Own and evolve a multi-year product roadmap for data ingestion, data modeling, analytics, and intelligence capabilities.
- Define the vision for a unified data layer that brings together native, client, and third-party data.
- Partner with engineering and data science teams to deliver scalable cloud-native pipelines, trusted analytic models, and reusable machine learning capabilities.
- Prioritize customer and internal stakeholder needs, manage team backlogs, and define clear user stories and acceptance criteria.
- Lead product across two cross-functional Scrum teams and coordinate scope, sequencing, dependencies, and resourcing.
- Drive Agile ceremonies, stakeholder alignment, platform metrics, and product management mentoring.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Business, or a related field.
- 10+ years of product management experience, including significant work with data platforms, analytics products, or developer and internal platforms.
- Lead- or principal-level experience setting direction across multiple teams and influencing senior stakeholders.
- Strong knowledge of cloud-native data architectures, data lakes, warehouses, lakehouses, streaming and batch pipelines, and modern data modeling.
- Hands-on familiarity with AWS data services, machine learning productization, Agile and Scrum, Jira, and Confluence.
- Understanding of security, privacy, compliance, and performance requirements for financial data; US work authorization is required, and employment sponsorship is not available.
Nice to have
- Experience in fintech, digital banking, SaaS, or another regulated and data-intensive domain.
- Experience launching and scaling a platform or data product from concept to general availability.
- Advanced degree in a related field.
Culture & Benefits
- Remote-first work environment for US-based employees.
- Unlimited paid time off.
- 401(k) with employer match.
- Diverse and inclusive workplace.
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