21 день назад
Data Product Manager (Fintech)
120 000 - 140 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Product Manager (Fintech): Building and scaling an enterprise data platform and its engineering roadmap with an accent on governed, reliable, and AI-ready data delivery. Focus on prioritizing data pipelines, translating architecture into actionable platform capabilities, and using AI-assisted automation and observability to improve delivery velocity and quality.
Location: Onsite at posted U.S. locations; listed location is San Diego, California. Remote and hybrid work are not available.
Salary: $120,000–$140,000 per year, plus eligible discretionary annual cash and restricted stock unit bonus targets of 10% each.
Company
provides digital financial tools and services for individuals, small businesses, and companies.
What you will do
- Own and prioritize the data engineering backlog, including user stories, acceptance criteria, data pipelines, and platform capabilities.
- Drive the data platform roadmap across engineering, analytics, business units, and technology leadership.
- Translate technical vision into deliverables for ingestion, transformation, orchestration, and serving layers.
- Improve data governance, discoverability, reliability, and AI readiness in partnership with platform teams and Collibra.
- Champion AI-assisted development, automation, monitoring, anomaly detection, and observability.
- Mentor junior Scrum Masters and strengthen Agile delivery practices through metrics and retrospectives.
Requirements
- 5+ years of experience in data engineering, product ownership, or technical program management in modern data environments.
- Hands-on familiarity with Databricks, dbt, Fivetran, Kafka, Census, Azure Data Services, SSIS, Tableau, and Collibra.
- Experience using AI-assisted tools such as GitHub Copilot, ADO, or Databricks Assistant.
- Strong understanding of data architecture, pipelines, orchestration, and governance frameworks.
- Experience managing backlogs, defining roadmaps, and driving delivery through Agile methodologies.
- Excellent communication and stakeholder management skills across technical and non-technical audiences.
Nice to have
- Experience in financial services or regulated data ecosystems.
- Exposure to Lakehouse architectures, metadata-driven automation, and AI Ops for data platforms.
- CSPO, SAFe POPM, or cloud certifications.
Culture & Benefits
- Medical, dental, vision, and life insurance may be available.
- Paid sick leave, three weeks of vacation, and approximately 11 holidays per year.
- HSA or FSA accounts and other voluntary benefits.
- 401(k) retirement plan with employer matching and a 529 savings plan.
- Employee mortgage loan program and access to an account with self-directed trading.
- Employment is subject to credit, criminal background, drug screening, and U.S. work-eligibility verification.
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