workable
Data Product Owner - Banking
Tiger Analytics Inc.
McLean, USA
Full-time
Senior · 7+ years experience
Onsite
Discovered 1 months ago
ETL/ELTCI/CDDevOpsAgile/Scrum
Key Skills for This Role
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.
About Tiger Analytics Inc.
IT Services & Consulting6964 employeesFounded 2011
We provide certainty by solving your toughest challenges.
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