Senior Data Product Manager - Banking

Tiger Analytics; McLean (VA); On-site; 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 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.

• 10+ 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.