Stefanini Group
Data Product Manager
Dearborn, Michigan, USA · Contract
Sponsorship not specifiedDetected 49 days ago
PythonSQLAWSCloud PlatformsMachine LearningData AnalysisData EngineeringData ScienceData VisualizationProduct ManagementProduct StrategyAgileStakeholder ManagementRecruitingLeadershipCommunication
About the role
- Prioritize features, enhancements, and technical investments based on business value and customer impact.
- Establish and track key performance indicators (KPIs) for data product adoption, quality, and business outcomes.
- Gather feedback from users and stakeholders to continuously improve data products.
Responsibilities
- The ideal candidate will bridge business, engineering, analytics, and data science teams to deliver scalable, high-quality data solutions aligned with organizational goals.
- Partner with business stakeholders to understand data needs and translate them into product requirements.
- Collaborate with data engineers, architects, analysts, and data scientists to design and deliver data products and platforms.
- Drive data governance, metadata management, data quality, and compliance initiatives.
- Develop user stories, acceptance criteria, and product backlogs.
- Lead Agile ceremonies and coordinate cross-functional teams to ensure timely delivery.
- Ensure data products support scalability, security, reliability, and regulatory requirements.
- Also, some positions may include bonuses or other incentives*** Stefanini takes pride in hiring top talent and developing relationships with our future employees.
Requirements
- 10+ yrs of experience in IT
- Strong understanding of data warehousing, data modeling, ETL/ELT processes, and cloud data platforms.
- Experience working with Agile methodologies and product management frameworks.
- Ability to translate complex technical concepts into business value.
- Experience defining KPIs, product metrics, and business cases.
- Familiarity with SQL, Python, data visualization tools, and modern data architectures.
- Experience with data governance, master data management, and data catalog solutions.
- Experience leading enterprise-scale data transformation initiatives.
- Those face-to-face conversations will involve a description of the job for which you have applied.
- Required Experience 10+ yrs of experience in IT; 4+ yrs in concentration5+ years of Product Management, Data Management, Business Intelligence, Analytics, or related experience.
Nice to have
- Preferred ExperienceExperience with cloud platforms such as Amazon Web Services, Microsoft, or Google.
Benefits
- Define and own the vision, strategy, roadmap, and lifecycle of data products.
- Education PreferredMaster's degree in business, Data Science, Analytics, or a related field. **Listed salary ranges may vary based on experience, qualifications, and local market.
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