Sr Google Cloud Platform Data Product Owner - Phoenix, AZ (Onsite) - 6 months

Role: Sr Google Cloud Platform Data Product Owner
Location: Phoenix, AZ (Onsite)

Duration: 6 months

Implementation: TCS

CTC Rate: $47/hr | W2 Rate: $44/hr

Role Overview

Senior Data Product Owner with a strong data analytics background. This role requires 10+ years of experience in Product Ownership or Data Product Management, with hands-on experience in data ingestion frameworks, Google Cloud Platform BigQuery, and cloud platforms. The candidate will define and drive the vision, roadmap, and strategy for data products while working cross-functionally within Agile/Scrum teams.

Required Skills & Experience

• Bachelor''s degree in Business, Computer Science, Information Systems, Data Analytics, Statistics, Engineering, or a related field.
• 10+ years of experience in Product Ownership, Product Management, Business Analysis, or Data Product Management.
• Strong understanding of Agile/Scrum methodologies.
• Experience working with data warehouses, data lakes, and cloud platforms.
• Hands-on experience with Google Cloud Platform BigQuery.
• Hands-on experience with data ingestion frameworks, data controls, and related operational considerations.
• Proficiency in SQL and data analysis.
• Experience with BI and visualization tools such as Power BI, Tableau, Looker, or similar.
• Strong stakeholder management and communication skills.
• Ability to translate complex business requirements into technical solutions.

Responsibilities

Product Strategy & Vision

• Define and communicate the vision, roadmap, and strategy for data products.
• Align product objectives with business goals and data strategy.
• Identify opportunities to leverage data for business growth, operational efficiency, and customer experience improvement.

Backlog Management

• Create, maintain, and prioritize the product backlog.
• Develop user stories, acceptance criteria, and functional requirements.
• Ensure backlog items are well-defined and ready for development.

Stakeholder Management

• Collaborate with business leaders, analysts, data engineers, data scientists, and technical teams.
• Gather and prioritize business requirements from multiple stakeholders.
• Facilitate workshops and requirement-gathering sessions.

Data Product Development

• Lead the development of dashboards, reporting platforms, data pipelines, data marts, machine learning products, and self-service analytics solutions.
• Define KPIs, metrics, and success criteria for data products.
• Ensure data quality, governance, and compliance requirements are incorporated into product development.

Agile Delivery

• Act as Product Owner within Agile/Scrum teams.
• Participate in sprint planning, backlog refinement, reviews, and retrospectives.
• Make prioritization decisions to maximize business value.

Data Analysis & Insights

• Analyze business processes and identify opportunities for optimization through data.
• Interpret analytical findings and translate them into actionable business recommendations.
• Monitor product performance and user adoption using data-driven metrics.