Data Product Manager

Bill Rate: $60-62/hr

MSP Owner: Kelly Gosciminski
Location: Phoenix AZ - onsite
Duration: 6 months
GBaMS ReqID:

Product Owner with Data Analytics Background

Bachelors 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.

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

Hands-on experience with data ingestion frameworks data controls and related operational Considerations 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

Role Descriptions: Bachelors 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. 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 & ResponsibilitiesHands-on experience with data ingestion frameworks data controls and related operational ConsiderationsProduct Strategy & VisionDefine 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 ManagementCreate 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 ManagementCollaborate 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 DevelopmentLead 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 DeliveryAct 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 & InsightsAnalyze 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.
Essential Skills: Bachelors 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. 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 & ResponsibilitiesHands-on experience with data ingestion frameworks data controls and related operational ConsiderationsProduct Strategy & VisionDefine 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 ManagementCreate 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 ManagementCollaborate 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 DevelopmentLead the development of dashboards reporting platforms data pipelines data marts machine learning prod