Data Product Manager

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🔥 0 minutes ago

❄️ Minnesota – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

👻 Ghost score 25%

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Logo of SR International Incorporation

SR International Incorporation

11 - 50 employees

Founded 2002

🤝 B2B

B2B

SR International Incorporation is a trusted partner in IT, established in 2002. It is one of the fastest growing and reputed providers of Information Technology Services and Solutions in the United States. The company prides itself on its highly skilled IT resources and unique engagement model, consistently delivering high performance to its clients. SR International's expertise spans Cloud Computing, Mobility, Web Technologies, . Net, Java, ERP, and CRM.

📋 Description

• Define the vision, strategy, and roadmap for enterprise data products • Identify high-value opportunities based on business needs, data landscapes, and organizational priorities • Lead the end-to-end data product lifecycle, including requirements, design, development, testing, launch, and iteration • Partner with data engineers and data scientists to build scalable pipelines, models, and data services • Ensure data quality, governance, lineage, metadata, and documentation standards • Translate business logic into data transformations, metadata, and domain-specific rules • Serve as the primary liaison between technical teams and DCYF business stakeholders • Define success metrics, KPIs, dashboards, and reporting frameworks • Ensure data products provide actionable insights and support data-driven decision making • Promote responsible data use, privacy, governance, compliance, and ethical AI practices • Support modernization from legacy mainframe systems to modern data lakes and data platforms

🎯 Requirements

• 4–7 years of experience in data management, data analytics, data engineering, or related fields • Strong Product Management / Product Leadership experience • Strong understanding of data systems, data pipelines, data warehousing, data modeling, metadata, and data governance • Experience collaborating with Data Architecture, Data Engineering, and Data Science teams • Ability to translate complex technical concepts into business-friendly language • Strong communication, prioritization, stakeholder management, and analytical skills • Experience with analytics and BI tools such as Power BI, Tableau, Looker, dbt, or Google Analytics • Experience with SQL, data lakes, data pipelines, and ETL • Significant experience with Databricks • Familiarity with Java and Python • Experience implementing modern data architectures • Experience building internal platforms or developer-facing data products • Understanding of enterprise data sharing constraints and data-sharing agreements • Experience in a highly regulated environment involving statistical analysis and reporting • Current work authorization status in the United States is requested

🏖️ Benefits

• Full-time employment • Remote or hybrid work arrangement • Work hours of Monday–Friday, 7:00 AM–6:00 PM CT, 40 hours/week • Duration through August 2027

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