Data Product Owner — Enterprise Data & Cloud

Tiger Analytics Inc.; North Dakota; On-site; USD 110,000 - 160,000; Full time

Job summary

Tiger Analytics Inc. in the United States seeks an experienced Data Product Owner who can bridge source-system teams, data engineering, and business stakeholders to deliver enterprise data products.

You will work across data ingestion, ETL/ELT, Bronze/Silver/Gold architecture, data contracts, quality and testing strategies, and guide cross-functional teams through development, testing, and production releases.

Qualifications

• 7+ years of enterprise data or analytics project experience.
• Proven ability to translate business needs into data requirements.
• Experience working with data engineering and data platforms.
• Strong communication between business and engineering teams.

Responsibilities

• Partner with source-system owners and tech teams to map modern cloud-based systems of record and data.
• Document source systems, data attributes, definitions, relationships, rules and constraints.
• Identify business insights, KPIs, and downstream use cases supported by data.
• Define data availability, SLA, latency, timeliness, and freshness for downstream products.
• Understand integration options, connectivity, access mechanisms and security.
• Translate domain knowledge into actionable data engineering requirements.
• Collaborate daily with Data Engineers, Architects, Developers, QA and others.
• Validate assumptions, clarify requirements, dependencies, priorities and acceptance criteria.
• Prioritize data product work and help remove engineering blockers.
• Facilitate communication between engineers and source-system SMEs for data access and dependencies.

Skills

Data product ownership

Stakeholder management

Analytical thinking

Data governance

Agile/Scrum experience

Job description

Tiger Analytics Inc. in the United States seeks an experienced Data Product Owner who can bridge source-system teams, data engineering, and business stakeholders to deliver enterprise data products.

You will work across data ingestion, ETL/ELT, Bronze/Silver/Gold architecture, data contracts, quality and testing strategies, and guide cross-functional teams through development, testing, and production releases.