Technical Product Owner, Data & AI

Job not on LinkedIn

🕒 4 days ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚒️ Technical Product Manager (TPM)

🦅 H1B Visa Sponsor

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CSI

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1965

💳 Fintech

🏦 Banking

🔒 Cybersecurity

💰 Private Equity Round on 2024-01

Fintech • Banking • Cybersecurity

CSI is a technology company specializing in modern banking solutions, offering products such as core banking software, digital banking, payment processing, and managed cybersecurity services. Their integrated solutions also include advisory services focused on financial crimes compliance and mitigation. CSI aims to empower financial institutions to thrive in a digital landscape while enhancing customer experience and operational efficiency.

📋 Description

• Serve as the execution link between product strategy and data engineering delivery • Translate requirements into well-defined user stories and guide the team through each sprint from refinement to release • Partner with the Product Manager and stakeholders to define and maintain business requirements, use cases, and acceptance criteria • Develop a working understanding of data platform architecture, ingestion patterns, data models, and governance frameworks • 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 • Work with Design on user flows for internal and client-facing product surfaces • Produce business and technical documentation for product, engineering, and go-to-market stakeholders • Stay informed on data platform architecture, data-as-a-product, and modern data stack trends • Bring relevant market context into planning and roadmap conversations • Ensure solutions meet 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

• 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 • Ability to independently query, trace, and validate the output of data engineering and analytics work • Hands-on experience with cloud data warehouse platforms such as Snowflake • Experience with data governance concepts, including data quality frameworks, data lineage, metadata management, or data catalog tooling • Conceptual familiarity with modern data architecture patterns, including data lakehouse, data mesh, ELT pipelines, and data modeling approaches • Experience managing a product backlog and driving sprint planning and refinement in an Agile environment • Strong written and verbal communication skills • Experience in a SaaS environment translating user needs into user stories and prioritizing work for engineering • Experience in financial services or fintech, with exposure to core banking, payments, digital banking, or CRM data structures (nice to have) • Experience with dbt, Apache Spark, or similar transformation and pipeline tools (nice to have) • Experience with Oracle or other enterprise relational database systems (nice to have) • Experience delivering data feed or dataset products to external clients (nice to have) • Experience using BI tools such as Tableau, Power BI, or Domo (nice to have) • Experience with Jira, Azure DevOps, or similar project tracking tools (nice to have) • Exposure to AI-assisted workflows or AI-driven data tooling in a product context (nice to have) • Applicants must be authorized to work in the United States without visa sponsorship now or in the future

🏖️ Benefits

• Eligibility for incentive awards based on both individual and business performance • Competitive salary • Comprehensive range of benefits • Accommodation during the recruitment process