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Top Entry Level Data Management Jobs in Detroit, MI
Fintech • Software
Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.
Top Skills:
AirflowAws WorkspaceCi/CdClaudeDockerGitGitlabGleanExcelMicrosoft FormsOpenaiPavePower AutomatePower BIPythonRUkgWorkday
Biotech
Leads R&D data stewardship across metadata, cataloging, data products, profiling, quality, governance, and compliance. Uses Informatica, SQL, Databricks, Python, and PySpark to curate data, automate workflows, define quality controls, and resolve complex issues. Applies AI-assisted stewardship and semantic data concepts while collaborating with technical and business stakeholders. Coaches other stewards, supports audit readiness, and improves stewardship standards and operating practices.
Top Skills:
Ai AgentsData LineageData ModelingDatabricksGenaiGitInformatica CdgcInformatica Data MarketplaceKnowledge GraphsLlmsOntologiesOwlPrompt EngineeringPysparkPythonRdfRest ApisSemantic DataSparqlSQL
Edtech
Manage and mentor a data engineering team while leading Snowflake-based platform architecture, enterprise data integrations, governance, observability, and pipeline reliability. Partner with analysts, business leaders, product management, and engineering teams to improve trusted self-service data access. Establish engineering standards, modernize the data stack, optimize costs, and deliver an AI-ready data foundation supporting analytics, reporting, and future AI initiatives.
Top Skills:
AIConfluenceDbtFivetranHubspotJIRALlmsLookerNetSuiteSalesforceSnowflakeZendesk
Big Data • Food • Mobile • Payments
Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.
Top Skills:
AIAutomationData CatalogsSemantic LayersSQL
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