Data Product Owner - Banking

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.