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Data Product Manager

$60 - $62 per hour

SysMind

Bill Rate: $60-62/hr MSP Owner: Kelly Gosciminski Location: Phoenix, AZ - onsite Duration: 6 months GBaMS ReqID: 10794566 Job Summary Product Owner with Data Analytics Background Qualifications 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. 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 Hands‑on experience with data ingestion frameworks, data controls, and related operational considerations. Define and communicate the vision, roadmap, and strategy for data products; align with business goals. Identify opportunities to leverage data for business growth, operational efficiency, and customer experience improvement. Manage product backlog: create, maintain, and prioritize; develop user stories, acceptance criteria, and functional requirements. Collaborate with business leaders, analysts, data engineers, data scientists, and technical teams; gather and prioritize requirements, facilitate workshops. Lead development of dashboards, reporting platforms, data pipelines, data marts, machine learning products, and self‑service analytics solutions. Define KPIs, metrics, and success criteria; ensure data quality, governance, and compliance. Act as Product Owner within Agile/Scrum teams: sprint planning, backlog refinement, reviews, retrospectives; prioritize to maximize business value. Analyze business processes, identify optimization opportunities; interpret findings, translate into actionable recommendations; monitor product performance and user adoption using data‑driven metrics. #J-18808-Ljbffr

Vacancy posted 2 days ago
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