Data Systems Manager

A
AcumenSocial Impact
Anywhere in ColombiaFull-TimeManager
Salary not disclosed
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Job Details

Languages
English, Spanish
Experience
Minimum of 8 years
Required Skills
Data AnalysisMicrosoft Power BISalesforceData visualizationHubSpotCRM

Requirements

  • Minimum 8 years of experience designing, implementing, or managing data systems or data architecture
  • Strong hands-on experience with Salesforce or a similar CRM (administrator level required)
  • Experience managing data or systems transformation projects
  • Experience integrating multiple platforms and workflows
  • Data analysis and visualization experience
  • Familiarity with tools such as Airtable, Power BI, Zapier, Looker Studio, or HubSpot
  • Fluency in English and Spanish
  • Strong systems thinking with attention to both technical detail and human usability
  • Collaborative, empathetic leadership style
  • Comfortable training and enabling non-technical users
  • Ability to build and grow teams over time
  • Confident working independently across time zones and regions while engaging diverse stakeholders

Responsibilities

  • Lead and implement the design and evolution of global data management architecture
  • Own the redesign or creation of Salesforce objects and system architecture for current and future datasets
  • Project-manage data migrations and integrations from legacy systems
  • Ensure smooth integrations between Salesforce and connected platforms (LMS, events, marketing, etc.)
  • Establish clear governance for system access, permissions, and security
  • Design bilingual (English/Spanish) user experiences, documentation, and training materials
  • Oversee low-level data system support requests while enabling teams to handle these independently
  • Establish and maintain data governance frameworks and quality assurance processes
  • Build dashboards and routine reports using Salesforce and Airtable
  • Lead, mentor, and support a distributed data operations team across regions
  • Deliver bilingual training to strengthen data confidence and skills across the organization
  • Contribute to realistic budgeting and planning for data and systems work
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