Scrum Master (Data & Analytics)

TL;DR

Scrum Master (Data & Analytics): Facilitate Agile delivery for Data Engineering and Analytics teams, optimizing delivery flow and managing cross-team dependencies across end-to-end data workflows. Focus on Kanban/flow metrics (WIP, cycle time, lead time), removing blockers, and ensuring transparency through Jira in a complex enterprise environment.

Location: Argentina

Company

hirify.global is a custom software development company delivering technology solutions for enterprise clients.

What you will do

• Facilitate Agile ceremonies and support collaboration across cross-functional teams.
• Manage flow of work in a dynamic environment, balancing planned and unplanned tasks.
• Coordinate dependencies across multiple teams and data workflows to ensure smooth end-to-end delivery.
• Apply Kanban practices and flow metrics (WIP, cycle time, lead time) to identify bottlenecks and improve delivery.
• Proactively identify and remove blockers impacting delivery.
• Track and analyze delivery metrics using Jira to ensure transparency and visibility.

Requirements

• 5+ years of experience as a Scrum Master or similar role in enterprise environments.
• Experience working with Data & Analytics teams (data pipelines, ETL/ELT, BI/reporting).
• Strong understanding of flow-based delivery (Kanban) with experience using WIP, cycle time, and lead time.
• Proven ability to manage cross-team dependencies and stakeholders.
• Hands-on experience with Jira (boards, dashboards, metrics).
• Upper-intermediate+ English.

Nice to have

• Scrum certifications (PSM, CSM) or SAFe.
• Experience in healthcare or other regulated domains.
• Familiarity with Azure-based data platforms.
• Experience introducing/scaling flow metrics and Kanban practices in data teams.
• Background in Agile transformation or coaching.

Culture & Benefits

• Close cooperation with a customer.
• Challenging tasks in a dynamic environment with low bureaucracy.
• Competence development and a team of professionals.

Hiring process

• Interviews to assess Scrum/Kanban delivery experience, Jira usage, and stakeholder management.
• Discussion of experience with Data & Analytics workflows and enterprise delivery constraints.