Enterprise Data Product Lead - Cloud & Data Quality

Tiger Analytics; McLean (VA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Tiger Analytics is seeking an experienced Data Product Owner to bridge source-system teams, data engineering, business stakeholders, and downstream data consumers. The role focuses on enterprise data projects, modern cloud data architectures, data products, data quality, and engineering delivery practices.

You will collaborate with Data Engineers, Architects, and QA on a daily basis, define data requirements, and ensure timely delivery for data-driven insights and KPIs.

Qualifications

• 10+ years of experience on enterprise data, analytics, data product, or tech projects.
• Experience with data engineering teams and enterprise data platforms.
• Experience with source systems/SORs and understanding data attributes, rules, constraints, and downstream use cases.
• Strong understanding of modern cloud data architecture and data lifecycle.
• Hands-on data ingestion, ETL/ELT, Bronze/Silver/Gold architecture, data quality, data catalog, data lineage, data contracts, data testing.
• Experience with Agile/Scrum engineering teams.
• Understanding CI/CD, DevOps, release management, and testing practices for data platforms.
• Strong requirements gathering, documentation, prioritization, and stakeholder management.

Responsibilities

• Partner with source-system owners, SMEs, and technology teams to understand cloud-based SORs 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 products.
• Understand integration options, connectivity, access mechanisms, and security considerations.
• Translate source-system knowledge into actionable requirements for data engineering teams.
• Collaborate daily with Data Engineers, Architects, Developers, QA, and others.
• Validate assumptions, clarify dependencies, priorities, and acceptance criteria.
• Prioritize data product tasks and support engineers in removing blockers.
• Facilitate communication between engineers and SMEs on connectivity and data access.
• Define data testing and validation strategies.
• Support development, testing, deployment, and production releases.

Skills

Enterprise data

Data product

Stakeholder management

Agile/Scrum

Data quality

Tools

ETL/ELT

Data catalog

Data lineage

Data contracts

Data testing

Job description

Tiger Analytics is seeking an experienced Data Product Owner to bridge source-system teams, data engineering, business stakeholders, and downstream data consumers. The role focuses on enterprise data projects, modern cloud data architectures, data products, data quality, and engineering delivery practices.

You will collaborate with Data Engineers, Architects, and QA on a daily basis, define data requirements, and ensure timely delivery for data-driven insights and KPIs.