Technical Product Owner II

CSI

Product Owner bridging product strategy and data engineering delivery for CSI's centralized data platform. Collaborating with stakeholders to translate business needs into actionable user stories and overseeing product backlog.

Posted 6/3/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudSDLCSQL

About the role

Key responsibilities & impact

Partner with the Product Manager and stakeholders to define and maintain business requirements, use cases, and acceptance criteria
Develop a working understanding of the data platform architecture, ingestion patterns, data models, and governance frameworks, sufficient to scope work accurately and ask the right questions
Translate product and business requirements into well-scoped Epics and User Stories; maintain a healthy, prioritized product backlog
Lead sprint planning and refinement sessions; work with engineers, analysts, and QA to scope work and estimate effort
Collaborate with technical leads to ensure solutions meet platform standards, data quality requirements, and governance policies
Write SQL queries and data transformation scripts to validate data, explore datasets, and support acceptance testing
Create clear acceptance criteria for QA to use in functional and data validation testing
Help define and maintain data quality standards, governance policies, and data taxonomy for the centralized data platform; monitor data quality across ingestion and modeling pipelines and work with engineering and analytics teams to remediate issues and uphold those standards
Work with Design on user flows for internal and client-facing product surfaces
Produce business and technical documentation for stakeholders across product, engineering, and go-to-market functions
Stay informed on trends in data platform architecture, data-as-a-product, and the modern data stack; bring relevant market context into planning and roadmap conversations
Ensure solutions meet both business needs and technical requirements throughout the SDLC
Use innovative approaches and AI tools to drive productivity and efficiency at a personal and team level

Requirements

What you’ll need

Bachelor's degree in computer science, information systems, data engineering, or a related technical field
3 - 5 years of experience as a Product Owner, Business Analyst, or similar role in a data-focused, software development environment
SQL proficiency, including writing queries, interpreting transformation logic, and validating data in a warehouse environment
Hands-on experience with cloud data warehouse platforms (e.g., Snowflake)
Experience with data governance concepts in practice, including data quality frameworks, data lineage, metadata management, or data catalog tooling
Conceptual familiarity with modern data architecture patterns — data lakehouse, data mesh, ELT pipelines, data modeling approaches
Experience managing a product backlog and driving sprint planning and refinement in an Agile environment
Strong written and verbal communication skills — able to translate technical concepts for business audiences and business requirements for engineering teams
Experience in a SaaS environment translating user needs into user stories and prioritizing work for engineering

Benefits

Comp & perks

Competitive salary
Eligibility for incentive awards based on individual and business performance
Comprehensive range of benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLdata transformationdata governancedata quality frameworksdata lineagemetadata managementdata catalog toolingAgiledata modelingcloud data warehouse

Soft Skills

communicationcollaborationleadershipdocumentationprioritizationproblem-solvingstakeholder managementadaptabilitycritical thinkinginnovation

Certifications

Bachelor's degree in computer scienceBachelor's degree in information systemsBachelor's degree in data engineering