NMI
Fintech
ProductDataAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Product Data Analyst at NMI. Skills: Product Ownership, Agile Execution, Billing Platform Expertise, Data Platform Expertise. Lead delivery for Billing and Data teams. Manage team backlogs”
What You'll Achieve.
Deliver value incrementally; Ensure releases meet quality standards; Ensure releases meet platform integrity expectations
Industry & Context.
Data accuracy validation; Pipeline correctness validation; Transformation accuracy validation
What They're Looking For.
Must Have
5+ years Product Owner or Technical Product Manager experience, Deep feature ownership experience, Technical depth, Write and execute SQL queries against BigQuery, Experience conducting and managing User Acceptance Testing (UAT), Experience coordinating software release cycles, Experience coordinating QA processes, Experience coordinating documentation
Nice to Have
Experience with financial systems, Experience with billing platforms, Experience with accounting modules, Familiarity with cloud platforms, Experience in data governance, Experience with privacy-compliant data handling, Technical background, CS degree or equivalent experience
What You'll Do.
Lead delivery for Billing and Data teams
Facilitate Agile ceremonies
Ensure work is clearly defined
Ensure work is prioritized
Ensure work is ready for engineering execution
Author detailed feature epics
Author user stories with precise acceptance criteria
Conduct User Acceptance Testing (UAT)
Manage User Acceptance Testing (UAT)
Coordinate release planning
Write detailed release notes
Manage internal rollout communications
Collaborate with peer Product Owners
Manage cross-team dependencies
Manage sequencing across shared initiatives
Partner with Product Managers
Understand product strategy
Understand product vision
Partner with Engineering Managers
Align on resource capacity
Incorporate technical guidance into backlog planning
Incorporate technical guidance into sequencing
Incorporate technical guidance into delivery decisions
Collaborate with Program Manager
Support cross-functional coordination
Define Minimum Viable Products (MVPs)
Validate Minimum Viable Products (MVPs)
Provide product training
Provide product enablement
Maintain transparency by communicating upcoming work
Maintain transparency by communicating progress
Maintain transparency by communicating timelines
Develop deep knowledge of NMI's five billing platforms
Sustain deep knowledge of NMI's five billing platforms
Serve as primary point of contact for billing-related
Partner with cross-functional teams
Ensure billing operations are compliant
Ensure billing operations are auditable
Ensure billing operations are accurately integrated
Translate complex billing requirements into user stories
Identify platform-level risks
Flag platform-level risks
Identify technical debt
Identify consolidation opportunities
Flag consolidation opportunities
Develop deep knowledge of Data team's ingestion pipelines
Sustain deep knowledge of Data team's ingestion pipelines
Develop deep knowledge of Data team's transformation layers
Sustain deep knowledge of Data team's transformation layers
Develop deep knowledge of data artifact delivery
Sustain deep knowledge of data artifact delivery
Serve as primary point of contact for data
Serve as primary point of contact for pipeline
Serve as primary point of contact for data
Author SQL queries against BigQuery
Execute SQL queries against BigQuery
Validate pipeline outputs
Confirm transformation accuracy
Ensure data meets acceptance criteria
Partner with data engineering
Prioritize data models
Prioritize data views
Prioritize dashboards
Advocate for data governance
Advocate for data lineage
Advocate for best practices in scalability
Advocate for best practices in usability
Advocate for best practices in privacy-compliant data handling
How You'll Work.
Team & Collaboration
Peer Product Owners; Product Managers; Engineering Managers; Program Manager; Cross-functional stakeholders; Finance stakeholders; Operations stakeholders; Analytics stakeholders; Reporting stakeholders; Customer-facing teams; Internal stakeholders
Communication Scope
Release notes; Rollout communications; Stakeholder communication; Executive communication
Process & Methodology
Agile, Agile ceremonies, Backlog planning, Release planning, Sequencing
Full Job Description
NMI is looking for a Senior Product Owner to drive tactical delivery across our Billing and Data platform teams. This role sits within the Engineering organization, reporting directly to the Director of Software Engineering, and carries ownership across two interconnected domains: Billing, which manages five distinct billing platforms, and Data, which owns ingestion and transformation pipelines built on GCP and BigQuery. As a Senior PO at NMI, you are the subject matter expert for every feature your team builds. You do not hand off context to others — you carry it. You are present in the details: writing sharp user stories, validating acceptance criteria, conducting UAT, and ensuring releases meet the bar. You are the go-to person for your engineering team, your product manager, and your stakeholders when questions arise about how the platforms work, what is in flight, and what is coming next. The seniority of this role comes through in the depth of your platform knowledge, your ability to navigate complexity across two technical domains simultaneously, and your capacity to influence decisions at the architecture and cross-team level — while never losing sight of day-to-day delivery. Key Responsibilities Product Ownership & Agile Execution Lead delivery for the Billing and Data teams by managing team backlogs, facilitating Agile ceremonies, and ensuring work is clearly defined, prioritized, and ready for engineering execution. Author detailed feature epics and user stories with precise acceptance criteria that give engineering teams the clarity needed to deliver without ambiguity. Conduct and manage User Acceptance Testing (UAT) to validate that releases meet functional requirements, quality standards, and platform integrity expectations — including writing and executing SQL queries directly against BigQuery to verify data accuracy and pipeline correctness. Coordinate release planning, write detailed release notes, and manage internal rollout communications for both
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