Data Manager
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Job Description
Data Manager overseeing data management and governance practices at Muvr's logistics platform. Leading initiatives for data quality and analytics while collaborating across functions.
Responsibilities:
- Own company-wide data management and governance practices, including data quality, documentation, lineage, and standards.
- Define and enforce consistent metric definitions and data standards across teams.
- Establish processes for data validation, monitoring, and issue resolution.
- Serve as the primary point of accountability for data accuracy and reliability.
- Partner with Data Engineering and Product teams to support data pipelines, models, and data warehouse initiatives.
- Prioritize data initiatives based on business impact and operational needs.
- Improve data accessibility and enable self-service analytics across the organization.
- Oversee dashboards, reports, and KPI frameworks used by leadership and operational teams.
- Review and validate critical analytics used for strategic, financial, and regulatory reporting.
- Educate teams on data best practices and responsible data usage.
Requirements:
- 5+ years of experience in data management, analytics, data engineering, or related roles.
- Strong understanding of data governance, data quality, and data lifecycle management.
- Experience working with modern data stacks and cloud data warehouses.
- Strong SQL skills and ability to review data models and analytics outputs.
- Excellent communication and stakeholder management skills.
- Experience in logistics, marketplace, mobility, or gig-economy environments (preferred).
- Familiarity with BI tools such as Looker, Tableau, or Power BI (preferred).
- Experience building or scaling data governance frameworks (preferred).
- Prior people management or technical leadership experience (preferred).
Benefits:
- Competitive compensation and benefits
- High-impact role shaping company-wide data foundations
- Visibility with senior leadership
- Opportunity to scale data practices from the ground up
- Flexible work environment
- Collaborative, data-driven culture
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