Technical Product Owner

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Requirements:

• 3+ years of experience in a Product Owner or Technical Product Manager role, ideally within fintech, SaaS, or data-centric environments.
• Strong understanding of cloud-based data platforms, pipelines, and tools (BigQuery, dbt, Airflow, etc.).
• Ability to write and troubleshoot SQL to perform data validation and support analytics tasks.
• Skilled in Agile development frameworks and tools (e.g., Jira, Confluence, Figma).
• Experience conducting and managing User Acceptance Testing (UAT) to ensure product quality and stakeholder satisfaction.
• Effective communication skills across technical and non-technical stakeholders.
• Experience coordinating software release cycles, QA processes, and documentation.
• Passion for understanding end users and translating insights into actionable product enhancements.

Responsibilities:

• Prioritize the product backlog and coordinate with product, engineering, design, and other stakeholders to deliver maximum value.
• Develop and present epics and user stories with clear acceptance criteria for all new functionality.
• Facilitate Agile ceremonies including sprint planning, backlog refinement, daily stand-ups, retrospectives, sprint showcases, and demos.
• Conduct User Acceptance Testing (UAT) to validate that product releases meet functional requirements, quality standards, and maintain overall conceptual and functional integrity
• Collaborate with other Product Owners to align on cross-team dependencies and shared initiatives.
• Collaborate with the development team, Product Manager, and other Product Owners on release planning, including writing detailed release notes and managing internal rollout communications.
• Define and validate Minimum Viable Products (MVPs) that incrementally deliver value while aligning with NMI’s strategic goals.
• Provide product training and enablement for customer-facing teams, support, and other internal stakeholders.
• Maintain transparency by communicating upcoming work, progress, and timelines to stakeholders and executives.
• Gather and translate stakeholder requirements from cross functional stakeholders across technical & non technical departments.
• Collaborate with engineering to ensure solutions are scalable, auditable, and integrated with core systems (e.g., CRMs, payment processors).
• Write and execute SQL queries to validate pipeline outputs and support QA and UAT efforts.
• Partner with data engineering to build data artifacts (views, models, dashboards) that empower stakeholders across analytics and reporting use cases.
• Advocate for data governance, lineage, and best practices in scalability and usability.