AI-Driven Data Product Manager

Rysun Labs Inc; Houston (TX); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Dental insurance

Health insurance

Paid time off

Training & development

Vision insurance

Job summary

Rysun Labs Inc. in Houston is seeking a Data Product Manager to lead the vision and lifecycle of Data & AI products.

You will gather requirements, translate them into features, and collaborate with data engineers, scientists, and BI developers to deliver AI-powered solutions. The role emphasizes backlog prioritization, KPI definition, and data-driven decision making, with opportunities in AI automation and analytics platforms.

Qualifications

• 6+ years of experience in Product Management, Data Analytics, or Data Products.
• Strong understanding of PM methodologies and Agile frameworks.
• Experience with Data Analytics, BI, Data Warehousing, and Data Governance.
• Hands-on knowledge of SQL, Power BI/Tableau, and cloud platforms (Azure/AWS/GCP).
• Exposure to AI/ML, Generative AI, LLMs, and predictive analytics use cases.

Responsibilities

• Define and own the product vision, roadmap, and lifecycle for Data & AI products.
• Gather requirements and translate them into features, stories, and acceptance criteria.
• Collaborate with Data Engineers, Data Scientists, BI Developers, and Engineering teams to deliver solutions.
• Drive development of dashboards, analytics platforms, predictive models, and AI-powered apps.
• Prioritize product backlog and lead Agile product delivery.
• Define KPIs, measure success, and continuously improve product performance.
• Partner with stakeholders to identify AI, automation, and data-driven opportunities.

Skills

Product management

Stakeholder management

Communication

Agile methodologies

Analytical thinking

Data analytics

Problem solving

Tools

SQL

Power BI

Tableau

Azure

AWS

GCP

Job description

Rysun Labs Inc. in Houston is seeking a Data Product Manager to lead the vision and lifecycle of Data & AI products.

You will gather requirements, translate them into features, and collaborate with data engineers, scientists, and BI developers to deliver AI-powered solutions. The role emphasizes backlog prioritization, KPI definition, and data-driven decision making, with opportunities in AI automation and analytics platforms.