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Data Product Owner - Banking

Tiger Analytics Inc.
McLean, USA
Full-time
Senior · 7+ years experience
Onsite
Discovered 1 months ago
ETL/ELTCI/CDDevOpsAgile/Scrum

Full Job Posting

Responsibilities

  • Partner with source-system owners, SMEs, and technology teams to understand modern cloud-based Systems of Record (SORs) and the data they produce.
  • Understand and document source systems, data attributes, business definitions, relationships, rules, constraints, and dependencies.
  • Identify the types of business insights, KPIs, metrics, and downstream use cases that can be supported by the underlying data.
  • Develop a strong understanding of data availability, SLA, latency, timeliness, and freshness requirements for downstream data products.
  • Understand source-system integration options, connectivity requirements, access mechanisms, and associated security considerations.
  • Translate source-system knowledge into clear and actionable requirements for data engineering teams.
  • Work closely with Data Engineers, Architects, Developers, QA, and other technical teams on a day-to-day basis.
  • Validate technical assumptions and clarify requirements, dependencies, priorities, and acceptance criteria.
  • Prioritize data product development tasks and help engineering teams remove blockers.
  • Facilitate communication between engineering teams and source-system SMEs for connectivity, access, sample data, data availability, and technical dependencies.
  • Define and enable appropriate data testing and validation strategies.
  • Support engineering teams throughout development, testing, deployment, and production release.

Requirements

  • 7+ years of experience working on enterprise data, analytics, data product, or technology projects .
  • Strong experience working with data engineering teams and enterprise data platforms .
  • Experience working with source systems/SORs and understanding data attributes, business rules, constraints, and downstream use cases.
  • Strong understanding of modern cloud data architecture and data lifecycle.
  • Hands-on understanding of: Data ingestion, ETL/ELT, Bronze/Silver/Gold architecture, Data quality, Data catalog, Data lineage, Data contracts, Data testing
  • Experience working with Agile/Scrum engineering teams.
  • Understanding of CI/CD, DevOps, release management, and testing practices for data platforms.
  • Strong requirements gathering, documentation, prioritization, and stakeholder management skills.
  • Ability to work effectively between business stakeholders and technical engineering teams.
  • Strong analytical and problem-solving skills.

Benefits

  • Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
  • Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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