Data Product Owner – Enterprise Data & Cloud Platforms

Tiger Analytics; McLean (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Tiger Analytics is seeking an experienced Data Product Owner to bridge source-system teams, data engineering, and business stakeholders. You will shape data products in modern cloud architectures and define requirements for end-to-end data delivery.

You will partner with engineers, architects, and QA to ensure data availability, quality, and timely insights, while translating business needs into actionable user stories and acceptance criteria.

Qualifications

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

Responsibilities

• Partner with source-system owners, SMEs and technology teams to understand cloud-based Systems of Record and the data they produce.
• Document source systems, data attributes, business definitions, relationships, rules, constraints and dependencies.
• Identify business insights, KPIs, metrics and downstream use cases supported by the data.
• Define data availability, SLA, latency, timeliness and freshness requirements for downstream data products.
• Understand source-system integration options, connectivity, access mechanisms and security considerations.
• Translate source-system knowledge into clear requirements for data engineering teams.
• Collaborate daily with Data Engineers, Architects, Developers, QA and other technical teams.
• 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 dependencies.
• Define and enable data testing and validation strategies.
• Support engineering teams through development, testing, deployment and production release.

Skills

Data product ownership

Enterprise data platforms

Agile/Scrum

Stakeholder management

CI/CD / DevOps

Data ingestion

ETL/ELT

Data quality

Data contracts

Job description

Tiger Analytics is seeking an experienced Data Product Owner to bridge source-system teams, data engineering, and business stakeholders. You will shape data products in modern cloud architectures and define requirements for end-to-end data delivery.

You will partner with engineers, architects, and QA to ensure data availability, quality, and timely insights, while translating business needs into actionable user stories and acceptance criteria.