CSI Logo

CSI

Technical Product Owner II

Posted 3 Hours Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
The Product Owner connects product strategy with data engineering, translating requirements into user stories, managing the product backlog, and ensuring data quality for client-facing data products.
The summary above was generated by AI

Job Description:

The Product Owner will serve as the execution link between product strategy and data engineering delivery, translating requirements into well-defined user stories and guiding the team through each sprint from refinement to release.
 

This role sits on a team responsible for the company's centralized data platform and the foundation for multiple client-facing data products, including dataset delivery feeds, analytics and reporting solutions, and audience intelligence tools for financial institutions. The platform ingests and models data from core banking, payments, digital banking, and CRM systems, forming the foundational layer that powers a broader suite of data intelligence products across the organization.
 

Working alongside the Product Manager, this role is expected to contribute data engineering domain knowledge and modern data stack awareness. The right candidate understands current architectural patterns and industry trends well enough to evaluate tradeoffs, ask good questions during technical planning, and bring informed perspective into prioritization decisions.

Responsibilities

  • 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

Must Have

  • 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 and the ability to independently query, trace, and validate the output of data engineering and analytics work.

  • 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 — and awareness of where the industry is heading

  • 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

Nice to Have

  • Experience in financial services or fintech, with exposure to core banking, payments, digital banking, or CRM data structures

  • Experience with dbt, Apache Spark, or similar transformation and pipeline tools

  • Experience with Oracle or other enterprise relational database systems

  • Experience delivering data feed or dataset products to external clients

  • Experience using BI tools (Tableau, Power BI, Domo) for data visualization and reporting

  • Experience with Jira, Azure DevOps, or similar project tracking tools

  • Exposure to AI-assisted workflows or AI-driven data tooling in a product context

As a forward-thinking software provider, Computer Services, Inc. (CSI) helps community and regional financial institutions solve their customers’ needs through open and flexible technologies. In addition to its award-winning core banking platform, these include the latest in lending, digital banking, payments, financial crime prevention and cybersecurity. Building on its 60-year track record of personalized service, CSI is shaping the future of banking and empowering its customers to rival their competition. For more information about CSI, visit www.csiweb.com 

CSI provides rewarding and challenging career opportunities for our employees. When determining your pay, we consider various factors such as your skills, qualifications, experience and location. Along with a competitive salary, this position includes eligibility for incentive awards based on both individual and business performance. We also offer a comprehensive range of benefits. To learn more about our benefits, visit: Benefits Summary

CSI is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, physical and mental disability, marital status, veteran status, or any other characteristic protected by applicable law. If you need an accommodation during the recruitment process, please email us at [email protected] and we will work with you to meet your accessibility needs.

For applicants residing in California, please read Privacy Notice for California Residents | CSI (csiweb.com)

Visa Sponsorship: We are unable to offer visa sponsorship for this position. Applicants must be authorized to work in the United States without the need for sponsorship now or in the future.

Similar Jobs

An Hour Ago
Remote or Hybrid
CA, USA
50K-80K Annually
Mid level
50K-80K Annually
Mid level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Scale Business Development Manager will drive customer acquisition in the SMB segment, execute scalable business development programs, and collaborate with partners to generate revenue and increase market penetration.
Top Skills: Cybersecurity
An Hour Ago
Remote or Hybrid
209K-262K Annually
Senior level
209K-262K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead diverse technology projects, collaborating with product managers to deliver cloud-based solutions and mentoring developers. Drive technological transformation at Capital One Shopping.
Top Skills: AWSCSSDockerGoHTMLJavaJavaScriptKubernetesPythonSQLTypescript
An Hour Ago
Remote or Hybrid
147K-185K Annually
Senior level
147K-185K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Software Engineer at Capital One, you will design, develop, and implement full-stack solutions in a collaborative Agile environment, utilizing technologies like JavaScript, Java, SQL, and AWS.
Top Skills: AWSDockerGoHTML/CSSJavaJavaScriptKubernetesPythonSQLTypescript

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account