Data Product Owner - Banking

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 is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions.

We are looking for an experienced Data Product Owner who can bridge the gap between source system teams, data engineering, business stakeholders, and downstream data consumers. The ideal candidate will have strong experience working on enterprise data projects and a solid understanding of modern cloud data architectures, data products, data quality, data contracts, and engineering delivery practices.

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.
• 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.

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.