Technical Product Owner, Data & AI

Job not on LinkedIn

🔥 22 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚒️ Technical Product Manager (TPM)

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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 • 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 the data platform architecture and ingestion patterns • Translate product and business requirements into well-scoped Epics and User Stories • Lead sprint planning and refinement sessions • Collaborate with technical leads to ensure solutions meet platform standards • Write SQL queries and data transformation scripts to validate data • Help define and maintain data quality standards, governance policies, and data taxonomy • Produce business and technical documentation for stakeholders

🎯 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 • 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

🏖️ Benefits

• Comprehensive range of benefits