Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Houston, TX, United States
Posted
18 hours ago
ScrumAgileBusiness AnalysisStakeholder Management
Job Description
Job Title: Product Owner
Work Location : Houston, TX 77002 (Hybrid Onsite)
Contract duration: 12+ months Contract
Job Description
Must have skills:
Experience in Data Product Management, Business Analysis, or Data & Analytics programs.
Strong understanding of modern data platforms (Snowflake, Databricks, AWS/Azure, ETL/ELT).
Knowledge of Data Governance, Data Quality, BI, and AI/ML concepts.
Excellent stakeholder management, communication, and prioritization skills.
Agile/Scrum product management experience.
Detailed Job Description:
Own the vision, roadmap, and delivery of data products that enable business insights, operational efficiency, and AI-driven decision making. Act as the bridge between business stakeholders, data engineering, analytics, and platform teams to ensure data products deliver measurable business value.
Success Metrics
Data product adoption and user satisfaction.
Improvement in data quality and availability.
Reduction in reporting and decision-making cycle times.
Business value realization through analytics and AI initiative.
WM/Enterprise Context (1-line version)
"Owns the prioritization, delivery, and business value realization of data products across Data Services and AI platforms, ensuring alignment between business objectives and engineering execution."
Experience in Data Product Management, Business Analysis, or Data & Analytics programs.
Strong understanding of modern data platforms (Snowflake, Databricks, AWS/Azure, ETL/ELT).
Knowledge of Data Governance, Data Quality, BI, and AI/ML concepts.
Excellent stakeholder management, communication, and prioritization skills.
Agile/Scrum product management experience.
Detailed Job Description:
Own the vision, roadmap, and delivery of data products that enable business insights, operational efficiency, and AI-driven decision making. Act as the bridge between business stakeholders, data engineering, analytics, and platform teams to ensure data products deliver measurable business value.
Success Metrics
Data product adoption and user satisfaction.
Improvement in data quality and availability.
Reduction in reporting and decision-making cycle times.
Business value realization through analytics and AI initiative.
WM/Enterprise Context (1-line version)
"Owns the prioritization, delivery, and business value realization of data products across Data Services and AI platforms, ensuring alignment between business objectives and engineering execution."
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